A HIGHLY EFFICIENT RESOURCE OBTAINING SCHEME DESIGN IN CLOUD COMPUTING

Size: px
Start display at page:

Download "A HIGHLY EFFICIENT RESOURCE OBTAINING SCHEME DESIGN IN CLOUD COMPUTING"

Transcription

1 INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND ROBOTICS ISSN A HIGHLY EFFICIENT RESOURCE OBTAINING SCHEME DESIGN IN CLOUD COMPUTING E.Manoranjetha 1, S.Prasanna 2 1 M.E. CSE, Department of Computer Science Engineering, Mailam Engineering College, affiliated to Anna University (Chennai), Mailam, Villupuram, Tamilnadu , India. 2 Assistant Professor, Department of Computer Science Engineering, Mailam Engineering College, affiliated to Anna University (Chennai, Mailam, Villupuram, Tamilnadu , India. Abstract The cloud resource approach automates appropriate selection of vendor which implements price dynamically. This mechanism suggests cloud resource for dominant cloud strategy which is compatible to incentives with cloud Bayesian compatible incentive and optimal cloud compatibility. The virtual cost for declaration of price winners will have budget balance which does not meet its rational requirement with lower cost. Resource procurement decreases along with cost which can increase in number of cloud vendor irrelevant to its mechanisms. Existing model enables cloud users to automation of them among variety of offerings which is essential for implementation of dynamic price in cloud. In our proposed model the main objective is the automation of vendor selection and reduction of time consumption taken for selecting vendor. It needs cost effective and dynamic price which provides automatic vendor selection. It is improvised with cloud optimal mechanism (C-OPT). The C-OPT can have many backlogs with existing mechanism. C-OPT consider the cloud vendor with the least virtual cost and the vendor who is to be considered as winner. The Bayesian incentive is compatible and also rational which have proposed system considering the procurement model for cloud broker performing resource procurement cost decrement and increasing the number of cloud vendors. This kind of system makes modules to be automated with their choice of cloud vendor among diverse contributions. Keywords: Bayesian mechanism, cloud broker, C-OPT, dynamic price in cloud, virtual cost, rational resource. 1. Introduction Cloud computing referred to be a popular mechanism offers wide variety services with active researches over various active areas with popularity which has rapid growth in various fields. Various companies offers cloud services such as goggle, salesforce.com, Amazon etc which has main advantage over provisioning of IT resources on demand which avoids over provisioning problems and under provisioning problem in various organizations having wide requirement due to growth or shrink of seasonal resource offers. This includes seasonal offers for storage as service, power sharing along with CPU space etc. In cloud the resource for unexplored and interesting area fixes price strategy such as pay as you go for price resources which does not provide any incentives to users for adjusting consumption pattern according to availability of factors other than this. Cloud computing refers network computing model for program application runs on connected server rather than local computing device such as PC tablet etc. The traditional client server model or old mainframe computing in which user connects with server for performing different tasks. The cloud computing is having difference with the process of computing which runs on one or many connected computers at same time utilizing the virtualization concept with cloud servers. One or more physical servers having E. M a n o r a n j e t h a & S. P r a s a n n a Page 56

2 virtualization can configure and partition into multiple independent virtual servers which functions individually which appears to the user to be viewed as single physical device. Virtual servers having essence for disassociation from the physical server which has added flexibility which can move around and scaled with up down which has to be used by end users without affecting them. The computing resource becomes granular which provides end user having operator benefits that includes self service on demand. This can be access towards broad multiple devices with resource pooling with rapid elasticity and metering service capability. Computing technology varies with different period subject to disruption of existing patterns with business and communication that spreads along with personal computer later with profound changes in internet creating new business opportunities that alters existing business practices. In the existing system resource allocation is significant with research areas in cloud and grid. Resource allocation algorithms generally based on conventional models, economic game theoretical models. The main thrust of cloud user has to minimize the procurement cost for achieving the true costs of cloud vendors who bids truthfully there is also a truth elicitation which can be of two different ways. The corresponding dominance for equal strategies for incentive compatibility will have Bayesian incentives for compatibility correspond Bayesian algorithm. The lower cost for winning the quotes receives the lowest amount as payment which does not receive any payment. Conventional model requires global knowledge and complete information in which these algorithms are most probably centralized in nature. The models for cost in which the centralized algorithms that derives cost based on usage of these cloud resources. Economic models for resource allocation are very popular. Thus in both conventional and economic models we have companies which have most distributed geographically. 2. Basic Conventional model The basic conventional model requires global knowledge which will have complete information in which these algorithms having mostly centralized nature. The cost model for which the centralized algorithms that have derive cost based resource allocation will have the usage of centralized resources. Resource allocation is very popular in economic models which have resource management which can be not only decentralized but offers incentives for participants. The models that derive cost based value with user derive from the decentralized offers for incentives to the participants. Those models have user derives from cost based allocation of resource models. Most resource allocation algorithms based on economic models rely on single market mechanisms they develop configured auction server that have ability for configuring markets dynamically. As in the existing model they use economic models having commodity broking with posted price which develops grid source broker for resource management. In such old existing models C-DSIC which is having low bid auction for cloud service. It allocates efficient and individual rational but having no budget balanced for resource allocation. C- BIC is having weaker strategy compared for C-DSIC which is having Bayesian incentives compatible for those resources. In proposed system the enhanced mechanism for selecting the winner based mechanism calculation based on mathematical calculation. The current emerging trends on cloud computing environment for sending cloud resource specifications for cloud broker has to forward payment for cloud user and cloud vendor. The cloud broker calculates the payment for cloud user for utilizing the resource provided by the cloud vendor based proposed mechanism for cloud broker with replied cost with cloud vendor. The main process for resource specification forwarding from cloud user to utilize resource provided for cloud vendor based proposed mechanism which collects cloud vendor with cloud broker then apply mechanism for calculating the calculation. They have to move forward with the cloud user and cloud vendor in which the resource utilization after the cloud vendor which receives payment from cloud usability and individual rationality that have two other complex mechanisms which cannot be achieved for resource allocation. C-OPT can achieve both Bayesian incentive compatibility and individual rationality that have two complex mechanisms that cannot retained or achieved with any other resource allocation mechanism. This mechanism is immune to both overbidding and underbidding of resource brokerage in cloud service. If any cloud vendor overbids then the incentive or the cost to be reduced moreover when any cloud vendor underbids then the cost is to be reduced or cut down abnormally. Cloud broker automatically reconfigures cloud brokerage environment helps for changes in user business process. Resource specifications require cloud user which sends along with cloud broker. Cloud broker turns broadcasts the specifications for users among cloud vendors. Cloud vendor responds with their cost which assumes quality of service in which those parameters normalized by broker. It is important to have normalization for enabling QOS specification comparison. By comparing the cloud vendors with different methods for QOS which is less than specified minimum that excludes a bid for auction. The working mechanism presents the performing useful for procurement auction. All the specifications and configuration for all the cloud vendors are not uniform which compares specifications which is manual and very tedious. E. M a n o r a n j e t h a & S. P r a s a n n a Page 57

3 3. Cloud Brokerage Resource Utilization 3.1 Cloud User and Vendor Cloud users have to register the process and enter into the cloud users that consider the file storage process in cloud vendors. The cloud user selects file which user wants storage which will have the mediator for processing the selection for resource to store the cloud vendor storage for the cloud storage calculating the cloud user for calculating the QOS parameters such as latency bandwidth with turnaround time for forwarding vendor for forwarding to the broker. Cloud broker have to communicate between resource specification which requests cloud user for log in cloud vendor having specification which checks the possibility which can be able to store or not able to reply cost for process storing vendor. The cloud brokers have to communicate between resource specifications which requests cloud user for all log in cloud vendors. Cloud broker that collect the resource specification from cloud user who acknowledges the cloud broadcast which collects resource specification for cloud vendors. Figure.1 determines the cloud based resource allocation mechanism. E. M a n o r a n j e t h a & S. P r a s a n n a Page 58

4 3.2 Cloud Brokerage Mechanism The cloud broker that updates the QOS parameter which weighs table after the cloud broker that collects the received costs and vendors details which replies the cost details for cloud broker which receives resource specification. After receiving the selected winner based on minimum cost in collected cost list they have to calculate the payment for resource utilization process for cloud user to cloud vendor. The whole process called as mechanism module which takes place by the cloud broker. This mechanism is used for resource utilization in cloud service. The procurement modules in cloud broker like C-DSIC, C-BIC and C-OPT able to select the cloud vendor automatically. The rational and intelligent cloud vendor assumes the true mechanism for the real world application scenario. User enables the work selecting the appropriate cloud vendor whose mechanism decides price for resource. The cloud broker forwards the payment and winner details the cloud user and cloud vendor which receives the payment after the cloud user which forwards the payment amount of cloud vendor directly and the cloud vendor first receive the winner detail and the payment mode for cloud broker. After receiving the payment from the cloud user directly the cloud vendor which allows the cloud user to store detail in their storage area. After the process which have performance evaluation which is showed between the procurement cost and the number of cloud vendors. 4. Conclusion Although cloud users pay fixed price for resources or services which type of pricing is called fixed pricing which is popular among telecom provider which has no provision for incentive for users that have fixed strategy, Resource procurement which is not only an important problem in cloud computing unexplored area. Resource procurement which has to be done manually which needs to press and have automation over their resource allocation performance. Automation procurement presents three mechanisms such as C-DSIC, C-BIC, and C-OPT. User enables the real world scenario for enabling the appropriate cloud vendor for choosing mechanism decides the price for resource. The users price for resource in pricing the centre in step towards implementing dynamic price of cloud server. They allocates efficient and individual rational which has to be balanced with budget. If that mechanism is not budget balanced then that external agency has to provide cost performance for resource procurement. After the payment received from cloud user which directly allows cloud vendor allows the cloud user to store details in storage area which can have process with performance evaluation which can be viewed between the procurement cost and the number of cloud vendors with resource utilization. References [1].P. Mell and T. Grance, The NIST Definition of Cloud Computing, NIST Special Publication , Nat l Inst. of Standards and Technology, US Dept. of Commerce, publications/nistpubs/ /sp pdf, Sept [2].S. Grivas, T.U. Kumar, and H. Wache, Cloud Broker: Bringing Intelligence into the Cloud, Proc. IEEE Third Int l Conf. Cloud Computing (CLOUD),pp , July [3].M.F. Mithani, M. Salsburg, and S. Rao, A Decision Support System for Moving Workloads to Public Clouds, GSTF Int l J. Computing, vol. 1, no. 1, pp , Aug. 2010, doi: _ _ [4].B. Rochwerger, J. Tordsson, C. Ragusa, D. Breitgand, S. Clayman, A. Epstein, D. Hadas, E. Levy, I. Loy, A. Maraschini, P. Massonet, H. Mun oz, K. Nagin, G. Toffetti, and M. Villari, RESERVOIR -When One Cloud is Not Enough, Computer,vol. 44, no. 3, pp , Mar [5].Y. Yang, Y. Zhou, L. Liang, D. He, and Z. Sun, A Sevice-Oriented Broker for Bulk Data Transfer in Cloud Computing, Proc. Ninth Int l Conf. Grid and Cooperative Computing (GCC),pp , Nov [6] B.J. Lheureux and D.C. Plummer, Cloud Services Brokerages:The Dawn of the Next Intermediation Age, Research Report G , Gartner, Nov [7]F.Ridder and A. Bona, Four Risky Issues When Contracting forcloud Services, Research Report G , Gartner, Feb [8]R. Weiss and A. Mehrotra, Online Dynamic Pricing: Efficiency,Equity and the Future of E-Commerce, Virginia J. Law and Technology, vol. 6, no. 2, [9]M. Bichler, J. Kalagnanam, K. Katircioglu, A.J. King, R.D.Lawrence, H.S. Lee, G.Y. Lin, and Y. Lu, Applications of Flexible Pricing in Business-to-Business Electronic Commerce, IBM Systems J., vol. 41, no. 2, pp , [10]Y. Narahari, C. Raju, K. Ravikumar, and S. Shah, Dynamic Pricing Models for Electronic Business, Sadhana, vol. 30, pp , E. M a n o r a n j e t h a & S. P r a s a n n a Page 59

5 ACKNOWLEDGEMENT E.Manoranjetha has received his B.E degree at Aravindar Engineering College, Sedarapet in the year At present he is pursuing M.E. (CSE) in Mailam Engineering College, Villupuram, Tamil Nadu, India. Her research interests lies in the areas of Mobile Computing, Data Mining, Cloud Computing and Software Engineering. S.Prasanna has completed his B.E degree in the year 2004, M.E in the year 2007 now pursuing his Ph.D. in cloud computing. Currently he is working as a Assistant professor in Computer Science and Engineering at Mailam Engineering college, Villupuram, Tamil Nadu, India. He has Published a paper entitled Efficient Data Integrity and Reliable Storage Accesses in Cloud using Space Comparison Algorithm International Journal of Computer Applications published in IJCA October 2011 Edition. He has attended many national and international conferences in several colleges. He organized many technical symposiums, workshops and seminars. He is a life member in ISTE and CSI. E. M a n o r a n j e t h a & S. P r a s a n n a Page 60

Dynamic Pricing for Usage of Cloud Resource

Dynamic Pricing for Usage of Cloud Resource Dynamic Pricing for Usage of Cloud Resource K.Sangeetha, K.Ravikumar Graduate Student, Department of CSE, Rrase College of Engineering, Chennai, India. Professor, Department of CSE, Rrase College of Engineering,

More information

RESOURCE PROCUREMENT MECHANISM SCHEME FOR CLOUD COMPUTING

RESOURCE PROCUREMENT MECHANISM SCHEME FOR CLOUD COMPUTING RESOURCE PROCUREMENT MECHANISM SCHEME FOR CLOUD COMPUTING E. Manoranjetha 1, S. Prasanna 2 1 Student M.E (CSE), Mailam Engineering College, Mailam, India. 2 Assistant Professor, Mailam Engineering College,

More information

A Game Theoretic Approach for Cloud Computing Infrastructure to Improve the Performance

A Game Theoretic Approach for Cloud Computing Infrastructure to Improve the Performance P.Bhanuchand and N. Kesava Rao 1 A Game Theoretic Approach for Cloud Computing Infrastructure to Improve the Performance P.Bhanuchand, PG Student [M.Tech, CS], Dep. of CSE, Narayana Engineering College,

More information

Improving Performance and Reliability Using New Load Balancing Strategy with Large Public Cloud

Improving Performance and Reliability Using New Load Balancing Strategy with Large Public Cloud Improving Performance and Reliability Using New Load Balancing Strategy with Large Public Cloud P.Gayathri Atchuta*1, L.Prasanna Kumar*2, Amarendra Kothalanka*3 M.Tech Student*1, Associate Professor*2,

More information

Enhancing Accountability for Distributed Data Sharing in the Cloud

Enhancing Accountability for Distributed Data Sharing in the Cloud Enhancing Accountability for Distributed Data Sharing in the Cloud MdMasoomRabbani M.Sc(Computer Sc.), Final Year School of Computing Science & Engineering, VIT University, Vellore - 632014, Tamil Nadu,

More information

Efficient Algorithm for Predicting QOS in Cloud Services Sangeeta R. Alagi, Srinu Dharavath

Efficient Algorithm for Predicting QOS in Cloud Services Sangeeta R. Alagi, Srinu Dharavath Efficient Algorithm for Predicting QOS in Cloud Services Sangeeta R. Alagi, Srinu Dharavath Abstract Now a days, Cloud computing is becoming more popular research topic. Building high-quality cloud applications

More information

Dynamic Resource Pricing on Federated Clouds

Dynamic Resource Pricing on Federated Clouds Dynamic Resource Pricing on Federated Clouds Marian Mihailescu and Yong Meng Teo Department of Computer Science National University of Singapore Computing 1, 13 Computing Drive, Singapore 117417 Email:

More information

A Study of Infrastructure Clouds

A Study of Infrastructure Clouds A Study of Infrastructure Clouds Pothamsetty Nagaraju 1, K.R.R.M.Rao 2 1 Pursuing M.Tech(CSE), Nalanda Institute of Engineering & Technology,Siddharth Nagar, Sattenapalli, Guntur., Affiliated to JNTUK,

More information

Effective Load Balancing Based on Cloud Partitioning for the Public Cloud

Effective Load Balancing Based on Cloud Partitioning for the Public Cloud Effective Load Balancing Based on Cloud Partitioning for the Public Cloud 1 T.Satya Nagamani, 2 D.Suseela Sagar 1,2 Dept. of IT, Sir C R Reddy College of Engineering, Eluru, AP, India Abstract Load balancing

More information

Email: shravankumar.elguri@gmail.com. 2 Prof, Dept of CSE, Institute of Aeronautical Engineering, Hyderabad, Andhrapradesh, India,

Email: shravankumar.elguri@gmail.com. 2 Prof, Dept of CSE, Institute of Aeronautical Engineering, Hyderabad, Andhrapradesh, India, www.semargroup.org, www.ijsetr.com ISSN 2319-8885 Vol.03,Issue.06, May-2014, Pages:0963-0968 Improving Efficiency of Public Cloud Using Load Balancing Model SHRAVAN KUMAR 1, DR. N. CHANDRA SEKHAR REDDY

More information

A Study on Analysis and Implementation of a Cloud Computing Framework for Multimedia Convergence Services

A Study on Analysis and Implementation of a Cloud Computing Framework for Multimedia Convergence Services A Study on Analysis and Implementation of a Cloud Computing Framework for Multimedia Convergence Services Ronnie D. Caytiles and Byungjoo Park * Department of Multimedia Engineering, Hannam University

More information

An Implementation of Load Balancing Policy for Virtual Machines Associated With a Data Center

An Implementation of Load Balancing Policy for Virtual Machines Associated With a Data Center An Implementation of Load Balancing Policy for Virtual Machines Associated With a Data Center B.SANTHOSH KUMAR Assistant Professor, Department Of Computer Science, G.Pulla Reddy Engineering College. Kurnool-518007,

More information

Optimized Offloading Services in Cloud Computing Infrastructure

Optimized Offloading Services in Cloud Computing Infrastructure Optimized Offloading Services in Cloud Computing Infrastructure 1 Dasari Anil Kumar, 2 J.Srinivas Rao 1 Dept. of CSE, Nova College of Engineerng & Technology,Vijayawada,AP,India. 2 Professor, Nova College

More information

A Game Theory Modal Based On Cloud Computing For Public Cloud

A Game Theory Modal Based On Cloud Computing For Public Cloud IOSR Journal of Computer Engineering (IOSR-JCE) e-issn: 2278-0661, p- ISSN: 2278-8727Volume 16, Issue 2, Ver. XII (Mar-Apr. 2014), PP 48-53 A Game Theory Modal Based On Cloud Computing For Public Cloud

More information

Cloud Computing Service Models, Types of Clouds and their Architectures, Challenges.

Cloud Computing Service Models, Types of Clouds and their Architectures, Challenges. Cloud Computing Service Models, Types of Clouds and their Architectures, Challenges. B.Kezia Rani 1, Dr.B.Padmaja Rani 2, Dr.A.Vinaya Babu 3 1 Research Scholar,Dept of Computer Science, JNTU, Hyderabad,Telangana

More information

A Load Balancing Model Based on Cloud Partitioning for the Public Cloud

A Load Balancing Model Based on Cloud Partitioning for the Public Cloud International Journal of Information & Computation Technology. ISSN 0974-2239 Volume 4, Number 16 (2014), pp. 1605-1610 International Research Publications House http://www. irphouse.com A Load Balancing

More information

Cloud Networking: An Infrastructure Service Architecture for the Wide Area

Cloud Networking: An Infrastructure Service Architecture for the Wide Area Future Network and MobileSummit 2012 Conference Proceedings Paul Cunningham and Miriam Cunningham (Eds) IIMC International Information Management Corporation, 2012 ISBN: 978-1-905824-29-8 Cloud Networking:

More information

Analysis of Service Broker Policies in Cloud Analyst Framework

Analysis of Service Broker Policies in Cloud Analyst Framework Journal of The International Association of Advanced Technology and Science Analysis of Service Broker Policies in Cloud Analyst Framework Ashish Sankla G.B Pant Govt. Engineering College, Computer Science

More information

Secured Multi-Cloud Virtual Infrastructure with Improved Performance

Secured Multi-Cloud Virtual Infrastructure with Improved Performance BULGARIAN ACADEMY OF SCIENCES CYBERNETICS AND INFORMATION TECHNOLOGIES Volume 12, No 2 Sofia 2012 Secured Multi-Cloud Virtual Infrastructure with Improved Performance R. Thandeeswaran 1, S. Subhashini

More information

A Study on Service Oriented Network Virtualization convergence of Cloud Computing

A Study on Service Oriented Network Virtualization convergence of Cloud Computing A Study on Service Oriented Network Virtualization convergence of Cloud Computing 1 Kajjam Vinay Kumar, 2 SANTHOSH BODDUPALLI 1 Scholar(M.Tech),Department of Computer Science Engineering, Brilliant Institute

More information

Implementation of Load Balancing Based on Partitioning in Cloud Computing

Implementation of Load Balancing Based on Partitioning in Cloud Computing Implementation of Load Balancing Based on Partitioning in Cloud Computing S. Adiseshu Gupta 1, K. V. Srinivasa Rao 2 PG Student, Department of CSE, Prakasm Engineering College, Kandukur, AndhraPradesh,

More information

Statistics Analysis for Cloud Partitioning using Load Balancing Model in Public Cloud

Statistics Analysis for Cloud Partitioning using Load Balancing Model in Public Cloud Statistics Analysis for Cloud Partitioning using Load Balancing Model in Public Cloud V. DIVYASRI 1, M.THANIGAVEL 2, T. SUJILATHA 3 1, 2 M. Tech (CSE) GKCE, SULLURPETA, INDIA v.sridivya91@gmail.com thaniga10.m@gmail.com

More information

Cloud Based Distributed Databases: The Future Ahead

Cloud Based Distributed Databases: The Future Ahead Cloud Based Distributed Databases: The Future Ahead Arpita Mathur Mridul Mathur Pallavi Upadhyay Abstract Fault tolerant systems are necessary to be there for distributed databases for data centers or

More information

Cloud Partitioning of Load Balancing Using Round Robin Model

Cloud Partitioning of Load Balancing Using Round Robin Model Cloud Partitioning of Load Balancing Using Round Robin Model 1 M.V.L.SOWJANYA, 2 D.RAVIKIRAN 1 M.Tech Research Scholar, Priyadarshini Institute of Technology and Science for Women 2 Professor, Priyadarshini

More information

LOAD BALANCING IN CLOUD COMPUTING USING PARTITIONING METHOD

LOAD BALANCING IN CLOUD COMPUTING USING PARTITIONING METHOD LOAD BALANCING IN CLOUD COMPUTING USING PARTITIONING METHOD Mitesh Patel 1, Kajal Isamaliya 2, Hardik kadia 3, Vidhi Patel 4 CE Department, MEC, Surat, Gujarat, India 1 Asst.Professor, CSE Department,

More information

Cloud deployment model and cost analysis in Multicloud

Cloud deployment model and cost analysis in Multicloud IOSR Journal of Electronics and Communication Engineering (IOSR-JECE) ISSN: 2278-2834, ISBN: 2278-8735. Volume 4, Issue 3 (Nov-Dec. 2012), PP 25-31 Cloud deployment model and cost analysis in Multicloud

More information

Exploring Resource Provisioning Cost Models in Cloud Computing

Exploring Resource Provisioning Cost Models in Cloud Computing Exploring Resource Provisioning Cost Models in Cloud Computing P.Aradhya #1, K.Shivaranjani *2 #1 M.Tech, CSE, SR Engineering College, Warangal, Andhra Pradesh, India # Assistant Professor, Department

More information

A Load Balancing Model Based on Cloud Partitioning for the Public Cloud

A Load Balancing Model Based on Cloud Partitioning for the Public Cloud IEEE TRANSACTIONS ON CLOUD COMPUTING YEAR 2013 A Load Balancing Model Based on Cloud Partitioning for the Public Cloud Gaochao Xu, Junjie Pang, and Xiaodong Fu Abstract: Load balancing in the cloud computing

More information

Security Considerations for Public Mobile Cloud Computing

Security Considerations for Public Mobile Cloud Computing Security Considerations for Public Mobile Cloud Computing Ronnie D. Caytiles 1 and Sunguk Lee 2* 1 Society of Science and Engineering Research Support, Korea rdcaytiles@gmail.com 2 Research Institute of

More information

Improved Dynamic Load Balance Model on Gametheory for the Public Cloud

Improved Dynamic Load Balance Model on Gametheory for the Public Cloud ISSN (Online): 2349-7084 GLOBAL IMPACT FACTOR 0.238 DIIF 0.876 Improved Dynamic Load Balance Model on Gametheory for the Public Cloud 1 Rayapu Swathi, 2 N.Parashuram, 3 Dr S.Prem Kumar 1 (M.Tech), CSE,

More information

A REVIEW ON DYNAMIC FAIR PRIORITY TASK SCHEDULING ALGORITHM IN CLOUD COMPUTING

A REVIEW ON DYNAMIC FAIR PRIORITY TASK SCHEDULING ALGORITHM IN CLOUD COMPUTING International Journal of Science, Environment and Technology, Vol. 3, No 3, 2014, 997 1003 ISSN 2278-3687 (O) A REVIEW ON DYNAMIC FAIR PRIORITY TASK SCHEDULING ALGORITHM IN CLOUD COMPUTING Deepika Saxena,

More information

Mobile Cloud Computing In Business

Mobile Cloud Computing In Business Mobile Cloud Computing In Business Nilam S. Desai Smt. Chandaben Mohanbhai Patel Institute of Computer Applications, Charotar University of Science and Technology, Changa, Gujarat, India ABSTRACT Cloud

More information

Fair Scheduling Algorithm with Dynamic Load Balancing Using In Grid Computing

Fair Scheduling Algorithm with Dynamic Load Balancing Using In Grid Computing Research Inventy: International Journal Of Engineering And Science Vol.2, Issue 10 (April 2013), Pp 53-57 Issn(e): 2278-4721, Issn(p):2319-6483, Www.Researchinventy.Com Fair Scheduling Algorithm with Dynamic

More information

Figure 1. The cloud scales: Amazon EC2 growth [2].

Figure 1. The cloud scales: Amazon EC2 growth [2]. - Chung-Cheng Li and Kuochen Wang Department of Computer Science National Chiao Tung University Hsinchu, Taiwan 300 shinji10343@hotmail.com, kwang@cs.nctu.edu.tw Abstract One of the most important issues

More information

Mobile Adaptive Opportunistic Junction for Health Care Networking in Different Geographical Region

Mobile Adaptive Opportunistic Junction for Health Care Networking in Different Geographical Region International Journal of Information and Computation Technology. ISSN 0974-2239 Volume 4, Number 2 (2014), pp. 113-118 International Research Publications House http://www. irphouse.com /ijict.htm Mobile

More information

Iaas for Private and Public Cloud using Openstack

Iaas for Private and Public Cloud using Openstack Iaas for Private and Public Cloud using Openstack J. Beschi Raja, Assistant Professor, Department of CSE, Kalasalingam Institute of Technology, TamilNadu, India, K.Vivek Rabinson, PG Student, Department

More information

Utility based User Preference Resource Selection based Collaborative Cloud Computing (CCC)

Utility based User Preference Resource Selection based Collaborative Cloud Computing (CCC) Utility based User Preference Resource Selection based Collaborative Cloud Computing (CCC) Mrs.K.M.Thilagavathi, M.E., (CSE), Jay Shriram Group of Institutions, Tirupur. mayavathi4@gmail.com Mr.T.Seenivasan,

More information

Regulate Capacity Sharing in a Federation of Hybrid Cloud Providers

Regulate Capacity Sharing in a Federation of Hybrid Cloud Providers Regulate Capacity Sharing in a Federation of Hybrid Cloud Providers Binay Kumar M.Tech, Department of CSE, Vivekananda Institute of Engineering & Technology, Bogaram, Telangana. Abstract: Cloud computing

More information

Efficient Service Broker Policy For Large-Scale Cloud Environments

Efficient Service Broker Policy For Large-Scale Cloud Environments www.ijcsi.org 85 Efficient Service Broker Policy For Large-Scale Cloud Environments Mohammed Radi Computer Science Department, Faculty of Applied Science Alaqsa University, Gaza Palestine Abstract Algorithms,

More information

A Brief Analysis on Architecture and Reliability of Cloud Based Data Storage

A Brief Analysis on Architecture and Reliability of Cloud Based Data Storage Volume 2, No.4, July August 2013 International Journal of Information Systems and Computer Sciences ISSN 2319 7595 Tejaswini S L Jayanthy et al., Available International Online Journal at http://warse.org/pdfs/ijiscs03242013.pdf

More information

VIRTUALIZATION IN CLOUD COMPUTING

VIRTUALIZATION IN CLOUD COMPUTING Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology IJCSMC, Vol. 3, Issue. 5, May 2014, pg.540

More information

AUTOMATED AND ADAPTIVE DOWNLOAD SERVICE USING P2P APPROACH IN CLOUD

AUTOMATED AND ADAPTIVE DOWNLOAD SERVICE USING P2P APPROACH IN CLOUD IMPACT: International Journal of Research in Engineering & Technology (IMPACT: IJRET) ISSN(E): 2321-8843; ISSN(P): 2347-4599 Vol. 2, Issue 4, Apr 2014, 63-68 Impact Journals AUTOMATED AND ADAPTIVE DOWNLOAD

More information

A Cloud Service Measure Index Framework to Evaluate Efficient Candidate with Ranked Technology

A Cloud Service Measure Index Framework to Evaluate Efficient Candidate with Ranked Technology A Cloud Service Measure Index Framework to Evaluate Efficient Candidate with Ranked Technology Shruthi Shirur 1, Annappa Swamy D. R. 2 1 M. Tech, CSE Department, Mangalore Institute of Technology & Engineering

More information

G.Vijaya kumar et al, Int. J. Comp. Tech. Appl., Vol 2 (5), 1413-1418

G.Vijaya kumar et al, Int. J. Comp. Tech. Appl., Vol 2 (5), 1413-1418 An Analytical Model to evaluate the Approaches of Mobility Management 1 G.Vijaya Kumar, *2 A.Lakshman Rao *1 M.Tech (CSE Student), Pragati Engineering College, Kakinada, India. Vijay9908914010@gmail.com

More information

Cloud Computing with Azure PaaS for Educational Institutions

Cloud Computing with Azure PaaS for Educational Institutions International Journal of Information and Computation Technology. ISSN 0974-2239 Volume 4, Number 2 (2014), pp. 139-144 International Research Publications House http://www. irphouse.com /ijict.htm Cloud

More information

USING ADAPTIVE SERVER ACTIVATION/DEACTIVATION FOR LOAD BALANCING IN CLOUD-BASED CONTENT DELIVERY NETWORKS

USING ADAPTIVE SERVER ACTIVATION/DEACTIVATION FOR LOAD BALANCING IN CLOUD-BASED CONTENT DELIVERY NETWORKS USING ADAPTIVE SERVER ACTIVATION/DEACTIVATION FOR LOAD BALANCING IN CLOUD-BASED CONTENT DELIVERY NETWORKS Darshna Dalvadi 1 and Dr. Keyur Shah 2 1 School of Computer Studies, Ahmedabad University, Ahmedabad,

More information

A REVIEW PAPER ON LOAD BALANCING AMONG VIRTUAL SERVERS IN CLOUD COMPUTING USING CAT SWARM OPTIMIZATION

A REVIEW PAPER ON LOAD BALANCING AMONG VIRTUAL SERVERS IN CLOUD COMPUTING USING CAT SWARM OPTIMIZATION A REVIEW PAPER ON LOAD BALANCING AMONG VIRTUAL SERVERS IN CLOUD COMPUTING USING CAT SWARM OPTIMIZATION Upasana Mittal 1, Yogesh Kumar 2 1 C.S.E Student,Department of Computer Science, SUSCET, Mohali, (India)

More information

MINIMIZING STORAGE COST IN CLOUD COMPUTING ENVIRONMENT

MINIMIZING STORAGE COST IN CLOUD COMPUTING ENVIRONMENT MINIMIZING STORAGE COST IN CLOUD COMPUTING ENVIRONMENT 1 SARIKA K B, 2 S SUBASREE 1 Department of Computer Science, Nehru College of Engineering and Research Centre, Thrissur, Kerala 2 Professor and Head,

More information

Framework for Cloud Usability

Framework for Cloud Usability Published in proceedings of HCI International 2015 Framework for Cloud Usability Brian Stanton 1, Mary Theofanos 1, Karuna P Joshi 2 1 National Institute of Standards and Technology, Gaithersburg, MD,

More information

Software as a Service (SaaS) Testing Challenges- An Indepth

Software as a Service (SaaS) Testing Challenges- An Indepth www.ijcsi.org 506 Software as a Service (SaaS) Testing Challenges- An Indepth Analysis Prakash.V Ravikumar Ramadoss Gopalakrishnan.S Assistant Professor Department of Computer Applications, SASTRA University,

More information

Infrastructure as a Service (IaaS)

Infrastructure as a Service (IaaS) Infrastructure as a Service (IaaS) (ENCS 691K Chapter 4) Roch Glitho, PhD Associate Professor and Canada Research Chair My URL - http://users.encs.concordia.ca/~glitho/ References 1. R. Moreno et al.,

More information

Round Robin with Server Affinity: A VM Load Balancing Algorithm for Cloud Based Infrastructure

Round Robin with Server Affinity: A VM Load Balancing Algorithm for Cloud Based Infrastructure J Inf Process Syst, Vol.9, No.3, September 2013 pissn 1976-913X eissn 2092-805X http://dx.doi.org/10.3745/jips.2013.9.3.379 Round Robin with Server Affinity: A VM Load Balancing Algorithm for Cloud Based

More information

Optimal Multi Server Using Time Based Cost Calculation in Cloud Computing

Optimal Multi Server Using Time Based Cost Calculation in Cloud Computing Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology IJCSMC, Vol. 3, Issue. 8, August 2014,

More information

Data Integrity for Secure Dynamic Cloud Storage System Using TPA

Data Integrity for Secure Dynamic Cloud Storage System Using TPA International Journal of Electronic and Electrical Engineering. ISSN 0974-2174, Volume 7, Number 1 (2014), pp. 7-12 International Research Publication House http://www.irphouse.com Data Integrity for Secure

More information

Load Balancing Model in Cloud Computing

Load Balancing Model in Cloud Computing International Journal of Emerging Engineering Research and Technology Volume 3, Issue 2, February 2015, PP 1-6 ISSN 2349-4395 (Print) & ISSN 2349-4409 (Online) Load Balancing Model in Cloud Computing Akshada

More information

Weighted Graph Approach for Trust Reputation Management

Weighted Graph Approach for Trust Reputation Management Weighted Graph Approach for Reputation Management K.Thiagarajan, A.Raghunathan, Ponnammal Natarajan, G.Poonkuzhali and Prashant Ranjan Abstract In this paper, a two way approach of developing trust between

More information

Automated Scaling of Cluster Using Deployment Diagrams in Platform-As-A- Service

Automated Scaling of Cluster Using Deployment Diagrams in Platform-As-A- Service Automated Scaling of Cluster Using Deployment Diagrams in Platform-As-A- Service Sudhir S. Kanade*, Pushkaraj B. Thorat HOD, Department of ENTC, COE, Osmanabad, India ME, Department of Computer, COE, Osmanabad,

More information

Reallocation and Allocation of Virtual Machines in Cloud Computing Manan D. Shah a, *, Harshad B. Prajapati b

Reallocation and Allocation of Virtual Machines in Cloud Computing Manan D. Shah a, *, Harshad B. Prajapati b Proceedings of International Conference on Emerging Research in Computing, Information, Communication and Applications (ERCICA-14) Reallocation and Allocation of Virtual Machines in Cloud Computing Manan

More information

The Load Balancing Strategy to Improve the Efficiency in the Public Cloud Environment

The Load Balancing Strategy to Improve the Efficiency in the Public Cloud Environment The Load Balancing Strategy to Improve the Efficiency in the Public Cloud Environment Majjaru Chandra Babu Assistant Professor, Priyadarsini College of Engineering, Nellore. Abstract: Load balancing in

More information

Efficient DNS based Load Balancing for Bursty Web Application Traffic

Efficient DNS based Load Balancing for Bursty Web Application Traffic ISSN Volume 1, No.1, September October 2012 International Journal of Science the and Internet. Applied However, Information this trend leads Technology to sudden burst of Available Online at http://warse.org/pdfs/ijmcis01112012.pdf

More information

An Enhanced Load balancing model on cloud partitioning for public cloud

An Enhanced Load balancing model on cloud partitioning for public cloud An Enhanced Load balancing model on cloud partitioning for public cloud Agidi.Vishnu vardhan*1, B.Aruna Kumari*2, G.Kiran Kumar*3 M.Tech Scholar, Dept of CSE, MLR Institute of Technology, Dundigal, Dt:

More information

Cloud Computing for Agent-based Traffic Management Systems

Cloud Computing for Agent-based Traffic Management Systems Cloud Computing for Agent-based Traffic Management Systems Manoj A Patil Asst.Prof. IT Dept. Khyamling A Parane Asst.Prof. CSE Dept. D. Rajesh Asst.Prof. IT Dept. ABSTRACT Increased traffic congestion

More information

The International Journal Of Science & Technoledge (ISSN 2321 919X) www.theijst.com

The International Journal Of Science & Technoledge (ISSN 2321 919X) www.theijst.com THE INTERNATIONAL JOURNAL OF SCIENCE & TECHNOLEDGE Efficient Parallel Processing on Public Cloud Servers using Load Balancing Manjunath K. C. M.Tech IV Sem, Department of CSE, SEA College of Engineering

More information

Statistics Analysis for Cloud Partitioning using Load Balancing Model in Public Cloud

Statistics Analysis for Cloud Partitioning using Load Balancing Model in Public Cloud Statistics Analysis for Cloud Partitioning using Load Balancing Model in Public Cloud 1 V.DIVYASRI, M.Tech (CSE) GKCE, SULLURPETA, v.sridivya91@gmail.com 2 T.SUJILATHA, M.Tech CSE, ASSOCIATE PROFESSOR

More information

International Journal of Scientific & Engineering Research, Volume 6, Issue 5, May-2015 1681 ISSN 2229-5518

International Journal of Scientific & Engineering Research, Volume 6, Issue 5, May-2015 1681 ISSN 2229-5518 International Journal of Scientific & Engineering Research, Volume 6, Issue 5, May-2015 1681 Software as a Model for Security in Cloud over Virtual Environments S.Vengadesan, B.Muthulakshmi PG Student,

More information

Method of Fault Detection in Cloud Computing Systems

Method of Fault Detection in Cloud Computing Systems , pp.205-212 http://dx.doi.org/10.14257/ijgdc.2014.7.3.21 Method of Fault Detection in Cloud Computing Systems Ying Jiang, Jie Huang, Jiaman Ding and Yingli Liu Yunnan Key Lab of Computer Technology Application,

More information

International Journal of Advanced Research in Computer Science and Software Engineering

International Journal of Advanced Research in Computer Science and Software Engineering Volume 2, Issue 9, September 2012 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com An Experimental

More information

Cloud Service Negotiation Techniques

Cloud Service Negotiation Techniques Service Negotiation Techniques Ariya T K, Christophor Paul, Dr S Karthik Abstract computing is a subscription based service from which the networked storage space and the resources can be obtained. Collaborations

More information

Security in Offloading Computations in Mobile Systems Using Cloud Computing

Security in Offloading Computations in Mobile Systems Using Cloud Computing Security in Offloading Computations in Mobile Systems Using Cloud Computing S.Masiperiyannan 1,C.M.Mehathaf Begum 2,I.Mohammed Farook Ali 3,G.Mayuri Priya 4,S.Sudhakar 5 UG Student, Dept. of CSE, K S R

More information

Decision Trees for Mining Data Streams Based on the Gaussian Approximation

Decision Trees for Mining Data Streams Based on the Gaussian Approximation International Journal of Computer Sciences and Engineering Open Access Review Paper Volume-4, Issue-3 E-ISSN: 2347-2693 Decision Trees for Mining Data Streams Based on the Gaussian Approximation S.Babu

More information

ADVANCEMENT TOWARDS PRIVACY PROCEEDINGS IN CLOUD PLATFORM

ADVANCEMENT TOWARDS PRIVACY PROCEEDINGS IN CLOUD PLATFORM INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ENGINEERING AND SCIENCE ADVANCEMENT TOWARDS PRIVACY PROCEEDINGS IN CLOUD PLATFORM Neela Bhuvan 1, K.Ajay Kumar 2 1 M.Tech Student, Dept of CSE, Vathsalya Institute

More information

OCRP Implementation to Optimize Resource Provisioning Cost in Cloud Computing

OCRP Implementation to Optimize Resource Provisioning Cost in Cloud Computing OCRP Implementation to Optimize Resource Provisioning Cost in Cloud Computing K. Satheeshkumar PG Scholar K. Senthilkumar PG Scholar A. Selvakumar Assistant Professor Abstract- Cloud computing is a large-scale

More information

Optimizing the Cost for Resource Subscription Policy in IaaS Cloud

Optimizing the Cost for Resource Subscription Policy in IaaS Cloud Optimizing the Cost for Resource Subscription Policy in IaaS Cloud Ms.M.Uthaya Banu #1, Mr.K.Saravanan *2 # Student, * Assistant Professor Department of Computer Science and Engineering Regional Centre

More information

AEIJST - June 2015 - Vol 3 - Issue 6 ISSN - 2348-6732. Cloud Broker. * Prasanna Kumar ** Shalini N M *** Sowmya R **** V Ashalatha

AEIJST - June 2015 - Vol 3 - Issue 6 ISSN - 2348-6732. Cloud Broker. * Prasanna Kumar ** Shalini N M *** Sowmya R **** V Ashalatha Abstract Cloud Broker * Prasanna Kumar ** Shalini N M *** Sowmya R **** V Ashalatha Dept of ISE, The National Institute of Engineering, Mysore, India Cloud computing is kinetically evolving areas which

More information

A Broker Based Trust Model for Cloud Computing Environment

A Broker Based Trust Model for Cloud Computing Environment A Broker Based Trust Model for Cloud Computing Environment Chaitali Uikey 1, Dr. D. S. Bhilare 2 1 School of Computer Science & IT, DAVV, Indore, MP. India 2 Computer Center, DAVV, Indore, MP. India Abstract

More information

SERVICE BROKER ROUTING POLICES IN CLOUD ENVIRONMENT: A SURVEY

SERVICE BROKER ROUTING POLICES IN CLOUD ENVIRONMENT: A SURVEY SERVICE BROKER ROUTING POLICES IN CLOUD ENVIRONMENT: A SURVEY Rekha P M 1 and M Dakshayini 2 1 Department of Information Science & Engineering, VTU, JSS academy of technical Education, Bangalore, Karnataka

More information

Proposed Joint Multiple Resource Allocation Method for Cloud Computing Services with Heterogeneous QoS

Proposed Joint Multiple Resource Allocation Method for Cloud Computing Services with Heterogeneous QoS Proposed Joint Multiple Resource Allocation Method for Cloud Computing Services with Heterogeneous QoS Yuuki Awano Dept. of Computer and Information Science Seikei University Musashino, Tokyo, Japan us092008@cc.seikei.ac.jp

More information

CLOUD SECURITY SECURITY ASPECTS IN GEOSPATIAL CLOUD. Guided by Prof. S. K. Ghosh Presented by - Soumadip Biswas

CLOUD SECURITY SECURITY ASPECTS IN GEOSPATIAL CLOUD. Guided by Prof. S. K. Ghosh Presented by - Soumadip Biswas CLOUD SECURITY SECURITY ASPECTS IN GEOSPATIAL CLOUD Guided by Prof. S. K. Ghosh Presented by - Soumadip Biswas PART 1 A brief Concept of cloud Issues in cloud Security Issues A BRIEF The Evolution Super

More information

Automating Service Negotiation Process for Service Architecture on the cloud by using Semantic Methodology

Automating Service Negotiation Process for Service Architecture on the cloud by using Semantic Methodology Automating Process for Architecture on the cloud by using Semantic Methodology Bhavana Jayant.Adgaonkar Department of Information Technology Amarutvahini College of Engineering Sangamner, India adgaonkarbhavana@yahoo.in

More information

Keywords: Cloudsim, MIPS, Gridlet, Virtual machine, Data center, Simulation, SaaS, PaaS, IaaS, VM. Introduction

Keywords: Cloudsim, MIPS, Gridlet, Virtual machine, Data center, Simulation, SaaS, PaaS, IaaS, VM. Introduction Vol. 3 Issue 1, January-2014, pp: (1-5), Impact Factor: 1.252, Available online at: www.erpublications.com Performance evaluation of cloud application with constant data center configuration and variable

More information

Cloud Computing Architecture: A Survey

Cloud Computing Architecture: A Survey Cloud Computing Architecture: A Survey Abstract Now a day s Cloud computing is a complex and very rapidly evolving and emerging area that affects IT infrastructure, network services, data management and

More information

CURRENT SCENARIO IN ARCHITECT AND APPLICATIONS OF CLOUD

CURRENT SCENARIO IN ARCHITECT AND APPLICATIONS OF CLOUD International Journal of Advanced Computer and Mathematical Sciences ISSN 2230-9624. Vol4, Issue3, 2013, pp234-238 http://bipublication.com CURRENT SCENARIO IN ARCHITECT AND APPLICATIONS OF CLOUD Doddini

More information

A Novel Switch Mechanism for Load Balancing in Public Cloud

A Novel Switch Mechanism for Load Balancing in Public Cloud International OPEN ACCESS Journal Of Modern Engineering Research (IJMER) A Novel Switch Mechanism for Load Balancing in Public Cloud Kalathoti Rambabu 1, M. Chandra Sekhar 2 1 M. Tech (CSE), MVR College

More information

Secured Load Balancing Model based on Cloud Partitioning using Round Robin Algorithm for the Public Cloud in Cloud Computing

Secured Load Balancing Model based on Cloud Partitioning using Round Robin Algorithm for the Public Cloud in Cloud Computing Secured Load Balancing Model based on Cloud Partitioning using Round Robin Algorithm for the Public Cloud in Cloud Computing 1 R.Logashree, 2 S.Brintha Rajakumari 1 Department of Computer Science and Engineering

More information

Energy Constrained Resource Scheduling for Cloud Environment

Energy Constrained Resource Scheduling for Cloud Environment Energy Constrained Resource Scheduling for Cloud Environment 1 R.Selvi, 2 S.Russia, 3 V.K.Anitha 1 2 nd Year M.E.(Software Engineering), 2 Assistant Professor Department of IT KSR Institute for Engineering

More information

Cloud Analyst: An Insight of Service Broker Policy

Cloud Analyst: An Insight of Service Broker Policy Cloud Analyst: An Insight of Service Broker Policy Hetal V. Patel 1, Ritesh Patel 2 Student, U & P U. Patel Department of Computer Engineering, CSPIT, CHARUSAT, Changa, Gujarat, India Associate Professor,

More information

EFFICIENT AND SECURE ATTRIBUTE REVOCATION OF DATA IN MULTI-AUTHORITY CLOUD STORAGE

EFFICIENT AND SECURE ATTRIBUTE REVOCATION OF DATA IN MULTI-AUTHORITY CLOUD STORAGE EFFICIENT AND SECURE ATTRIBUTE REVOCATION OF DATA IN MULTI-AUTHORITY CLOUD STORAGE Reshma Mary Abraham and P. Sriramya Computer Science Engineering, Saveetha University, Chennai, India E-Mail: reshmamaryabraham@gmail.com

More information

Distributed auditing mechanism in order to strengthen user s control over data in Cloud computing Environment

Distributed auditing mechanism in order to strengthen user s control over data in Cloud computing Environment Distributed auditing mechanism in order to strengthen user s control over data in Cloud computing Environment Chandra Sekhar Murakonda M.Tech Student, Department of Computer Science Engineering, NRI Institute

More information

Framework Model for Database Replication within the Availability Zones

Framework Model for Database Replication within the Availability Zones Framework Model for Database Replication within the Availability Zones Ala a Atallah A. Al-Mughrabi Hussein H. Owaied 2 Computer Information System Department, Middle East University, Amman, Jordan almughrabi2004@yahoo.com

More information

DYNAMIC WEB WORKLOAD MIGRATION TO CLOUD ENVIRONMENT

DYNAMIC WEB WORKLOAD MIGRATION TO CLOUD ENVIRONMENT DYNAMIC WEB WORKLOAD MIGRATION TO CLOUD ENVIRONMENT *K. V. Nithyasundari, **Dr. T. Senthil Prakash, ***P. M. Manochitra, ****R. Senthil Kumar * II year M.E. (CSE), Shree Venkateshwara HI-Tech Engg College,

More information

Cloud Based E-Government: Benefits and Challenges

Cloud Based E-Government: Benefits and Challenges Cloud Based E-Government: Benefits and Challenges Saleh Alshomrani 1 and Shahzad Qamar 2 1 Faculty of Computing and IT, King Abdulaziz University, Jeddah, Saudi Arabia 2 Faculty of Computing and IT, North

More information

ISSN: 2321-7782 (Online) Volume 2, Issue 5, May 2014 International Journal of Advance Research in Computer Science and Management Studies

ISSN: 2321-7782 (Online) Volume 2, Issue 5, May 2014 International Journal of Advance Research in Computer Science and Management Studies ISSN: 2321-7782 (Online) Volume 2, Issue 5, May 2014 International Journal of Advance Research in Computer Science and Management Studies Research Article / Survey Paper / Case Study Available online at:

More information

Implementation of P2P Reputation Management Using Distributed Identities and Decentralized Recommendation Chains

Implementation of P2P Reputation Management Using Distributed Identities and Decentralized Recommendation Chains Implementation of P2P Reputation Management Using Distributed Identities and Decentralized Recommendation Chains P.Satheesh Associate professor Dept of Computer Science and Engineering MVGR college of

More information

CONCEPTUAL MODEL OF MULTI-AGENT BUSINESS COLLABORATION BASED ON CLOUD WORKFLOW

CONCEPTUAL MODEL OF MULTI-AGENT BUSINESS COLLABORATION BASED ON CLOUD WORKFLOW CONCEPTUAL MODEL OF MULTI-AGENT BUSINESS COLLABORATION BASED ON CLOUD WORKFLOW 1 XINQIN GAO, 2 MINGSHUN YANG, 3 YONG LIU, 4 XIAOLI HOU School of Mechanical and Precision Instrument Engineering, Xi'an University

More information

A Framework for Automated Database TuningUsing Dynamic SGA Parameters and Basic Operating System Utilities

A Framework for Automated Database TuningUsing Dynamic SGA Parameters and Basic Operating System Utilities Database Systems Journal vol. III, no. 4/2012 25 A Framework for Automated Database TuningUsing Dynamic SGA Parameters and Basic Operating System Utilities Hitesh KUMAR SHARMA1, Aditya SHASTRI2, Ranjit

More information

MANAGING OF IMMENSE CLOUD DATA BY LOAD BALANCING STRATEGY. Sara Anjum 1, B.Manasa 2

MANAGING OF IMMENSE CLOUD DATA BY LOAD BALANCING STRATEGY. Sara Anjum 1, B.Manasa 2 INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ENGINEERING AND SCIENCE MANAGING OF IMMENSE CLOUD DATA BY LOAD BALANCING STRATEGY Sara Anjum 1, B.Manasa 2 1 M.Tech Student, Dept of CSE, A.M.R. Institute

More information

Spam Filtering using Signed and Trust Reputation Management

Spam Filtering using Signed and Trust Reputation Management Spam Filtering using Signed and Trust Reputation Management G.POONKUZHALI 1, K.THIAGARAJAN 2,P.SUDHAKAR 3, R.KISHORE KUMAR 4, K.SARUKESI 5 1,4 Department of Computer Science and Engineering, Rajalakshmi

More information

Cloud Computing Services and its Application

Cloud Computing Services and its Application Advance in Electronic and Electric Engineering. ISSN 2231-1297, Volume 4, Number 1 (2014), pp. 107-112 Research India Publications http://www.ripublication.com/aeee.htm Cloud Computing Services and its

More information

Resource Provisioning Cost of Cloud Computing by Adaptive Reservation Techniques

Resource Provisioning Cost of Cloud Computing by Adaptive Reservation Techniques Resource Provisioning Cost of Cloud Computing by Adaptive Reservation Techniques M.Manikandaprabhu 1, R.SivaSenthil 2, Department of Computer Science and Engineering St.Michael College of Engineering and

More information

ADAPTIVE LOAD BALANCING ALGORITHM USING MODIFIED RESOURCE ALLOCATION STRATEGIES ON INFRASTRUCTURE AS A SERVICE CLOUD SYSTEMS

ADAPTIVE LOAD BALANCING ALGORITHM USING MODIFIED RESOURCE ALLOCATION STRATEGIES ON INFRASTRUCTURE AS A SERVICE CLOUD SYSTEMS ADAPTIVE LOAD BALANCING ALGORITHM USING MODIFIED RESOURCE ALLOCATION STRATEGIES ON INFRASTRUCTURE AS A SERVICE CLOUD SYSTEMS Lavanya M., Sahana V., Swathi Rekha K. and Vaithiyanathan V. School of Computing,

More information