AN EFFICIENT TASK SCHEDULING ALGORITHM TO OPTIMIZE RELIABILITY IN MOBILE COMPUTING
|
|
- Alexandra Horton
- 8 years ago
- Views:
Transcription
1 AN EFFICIENT TASK SCHEDULING ALGORITHM TO OPTIMIZE RELIABILITY IN MOBILE COMPUTING Faizul Navi Khan, Kapil Govil Teerthanker Mahaveer University, Moradabad, U.P., India ABSTRACT Mobile computing can be describes as a way of transmission of data, via a computing device, without having a wired connection. Mobile computing also includes a number of technologies and devices such as wireless network, notebook, Smart phones, tablets and Personal Digital Assistant (PDAs) etc. Various applications are running under the Mobile Computing domain can be accessible by the users regardless their locations to fulfill their day to day business or personal needs. Multiple users send their requests from the different locations and these requests execute on available resources and send back to their originating point in reliable manner. The problem of task scheduling in Mobile Computing is always critical in order to execute a numbers of tasks on different processors to achieve maximum level of optimization. Efficient task scheduling is always a main concern to enhance the performance of application in Mobile Computing. In Mobile Computing multiple processors are joined together that acts as single system and it handles the various tasks requests in such environments. This research paper demonstrates the problem of task scheduling where numbers of tasks m are greater than the available processes n (m>n) through a task scheduling algorithm that will provide optimal solution in order to achieve optimal reliability to the task. The Scheduling algorithm describe in this research paper is based on the consideration of processing reliability of the task to the processors. KEYWORDS: Mobile Computing, Performance, Processing reliability, Task scheduling I. INTRODUCTION Mobile computing is precisely to permit users and applications to be as effective as possible in this environment of uncertain connectivity, without changes to the manner in which they operate. Mobile data communication has become a very important and rapidly evolving technology as it allows users to transmit data from remote locations to other remote or fixed locations. An application running Mobile Computing network is accessible on every hosts and it looks like a combinations of multiple tasks, these tasks executes on available processor in Mobile Computing in distributed manner. And the tasks are processed and information is provided to the requester hosts in form of the output. Different users have the different computing needs. In Mobile Computing multiple processors act as a single system that parallel receives multiple requests and execute these requests within the available resources. This research paper present the design of task scheduling algorithm that would solve task scheduling problem in Mobile Computing where the number of tasks m will execute on numbers of processors n (where m>n) in heterogeneous environment. Multiple tasks from the different mobile host will come and arrange in an ordered queue and will execute in First In First Out (FIFO) order one by one. In case the new task will come from the any of the mobile user in the queue, it will search for available processor in Mobile Computing, if the processor is free then the task will be scheduled for its execution otherwise the task will be arrange in waiting queue until the present assignment will be completed. As given in Figure Vol. 7, Issue 2, pp
2 Figure 1: Tasks are waiting in queue to allocate in Mobile Computing Domain This research paper discusses the problem of Mobile Computing, in such scenario where multiple mobile host accessing application running in wireless network. An application can be consider as multiple task and these tasks are arranged in an order queue and get scheduled to the available processor in Mobile Computing. If number of tasks is greater than available processors, the same numbers of task will be scheduled to available processors and the rest of the tasks will be in the queued status until present allocation will execute and processors will be free. To avoid such situation in the Mobile Computing, this research paper proposed a new task scheduling algorithm that will ensure that all the tasks in queue will execute by achieving optimal reliability to the processor in mobile computing. Some of the other related methods have been reported in the literature, such as Routing Scheme [1], Reliability and Performance [2], Task allocation[3, 4], Task scheduling [5, 8, 9], Task assignment [6], Reliable Distributed Grid Scheduler [7], Scheduling Manager for Mobile Cloud [10], Enhancement of Performance of Distributed Computing System [11], Task allocation for maximizing reliability [12, 13], Mobile Computing [14], Job Scheduling [15], resource allocation [16, 17, 18] Performance modeling and analysis [19], Energy-efficient deadline scheduling [20].This research paper has considered an example of task scheduling problem in Mobile Computing and introduce a new task scheduling algorithm with the help of Hungarian algorithm in order to get maximum processing reliability in Mobile Computing, the scheduling algorithm would also be deal with load balancing issues in the Mobile Computing so that performance of the Mobile Computing can be enhanced by using the proper utilization processors. II. NOTATIONS p t n m PRM Processor Task Number of Processors Number of Tasks Processing Reliability Matrix III. OBJECTIVE The main objective of this research paper is to improve the performance by maximizing the overall processing reliability for a Mobile Computing by introduce a new task scheduling algorithm to assign the tasks on various processors with in heterogonous environment to enhance the performance of the Mobile Computing. The nature of assignment of tasks to the processor is static. Task scheduling algorithm will also ensure the processing of all the tasks within the application in optimal way. In this paper performance is measured in term of processing reliability of the task that have to be get 636 Vol. 7, Issue 2, pp
3 processed on the processors of the environment with the achieving maximum level of processing reliability in Mobile computing. IV. TECHNIQUE This research paper has chosen the problem where a set P = {p 1, p 2, p 3, p n} of n processors with different processing speed and a set T = {t 1, t 2, t 3, t m} of m tasks, where m>n in order to evaluate optimal processing reliability in Mobile Computing. Processing reliability are known for all tasks for every processor and will be arrange the processing reliability for each task for different processor in a Processing Reliability Matrix (PRM) of order (n*m) and processing load (in terms of reliability) will initialize to zero for all processors by 1. After that scheduling algorithm will search for the maximum value by row (without repeating the column in the matrix), in result it would get the tasks equal to number of processors available in the Mobile Computing and those task will get scheduled. The process will repeat until number of tasks will remain lesser than the number of processors available in the mobile computing. Once this condition will occur where the numbers of processors are greater than the tasks waiting for the execution then will make slide change in the technique. Instead of searching element with maximum value row wise, the search will be steer column wise and that will make enable the final scheduling of remaining unallocated task in Mobile Computing. V. ALGORITHM 1. Start Algorithm 2. Read the number of task in m 3. Read the number of processor in n 4. Store task and Processing Reliability into Matrix PRM (,) n x m of order 5. While (All task! = Assigned) { i. Check if the matrix containing numbers of tasks are greater than or equal to numbers of processors (m>=n) then go to step (ii) else step (iv) ii. Search maximum value row wise in the matrix iii. Check if the column is previously selected for maximum value then GO TO step (ii) to find next maximum value for the row else Goto step (vi) to assign eligible task. iv. Search the maximum value column wise in the matrix v. Check if the row is previously selected for maximum value then GO TO step (iv) to find next maximum value for the column else Goto step (vi) to assign eligible task. vi. Assign the eligible tasks to available processors } 6. State the results 7. End of algorithm VI. IMPLEMENTATION This research paper consider Mobile Computing Domain which consist a set P of 3 processors {p 1, p 2, p 3} with different processing speed, and a set T of 7 tasks {t 1, t 2, t 3, t 4, t 5, t 6, t 7}. It is shown in the table 1. The processing reliability of each task varies for each processor in the domain, processing reliability are also known and mentioned in the processing reliability matrix namely PRM of order 3 x 7. Table 1: Processing Reliability Matrix PTM[3][8] t1 t2 t3 t4 t5 t6 t7 p p p Vol. 7, Issue 2, pp
4 As per the new task allocation algorithm, the approach will consider the maximum value for each row and will get the below stated results in Table 2. Table 2: Selecting maximum value row wise t4 t5 t7 PTM[3][8] p p p Since there are only three rows in the matrix that will schedule three tasks to the processors and scheduling table as mentioned in Table 3: Table 3: Scheduling Table Processor Task Processing Reliability p 1 t p 2 t p 3 t Hence the total numbers of tasks are 4 and still are greater than available numbers of processors (m>n), that will ensure repeat the same process and next three tasks will be scheduled again and now scheduling table is mentioned in Table 4: Table 4: Scheduling Table Processor Task Processing Reliability p 1 t 4* t * p 2 t 5* t * p 3 t 7* t * After repeating the same process of algorithm steps twice, still one task in the queue and gets remain unscheduled, here numbers of processors are greater than number of task (one) (m<n), now the element will be searched by column wise and that will ensure the last task will be allocated in the domain and the final scheduling table will be as stated in Table 5: Table 5: Scheduling Table Processor Task Processing Reliability p 1 t 4* t 1* t p 2 t 5* t p 3 t 7* t VII. CONCLUSION This research paper has considered m number of tasks needs to schedule to n number of processors where m is always greater than n in Mobile Computing. This research paper solves the problem task scheduling in such manner which would maximize the processing reliability of the task to the processors in Mobile Computing. In this research paper performance is measured in terms of processing reliability of the tasks that has been processed by the processor of the Mobile computing. The result as stated below of the given example here. Table 6: Final Scheduling Table Processor Task Processing Reliability p 1 t 4* t 1* t p 2 t 5* t p 3 t 7* t Total Processing Reliability The final task scheduling as mentioned in Table 6 is shown in Figure Vol. 7, Issue 2, pp
5 Figure 2: Final task assignment in Mobile Computing Domain Graphical representation of stated outcome of the given input as mentioned in Figure 3: Figure 3: Showing total processing reliability for various processors in mobile computing The technique stated in pseudo code applied on several sets of input data and that verified the objective of get maximum processing reliability for given tasks for their execution. The analysis of an algorithm mainly focuses on time complexity. The time complexity of above mentioned algorithm is O(m+n). By taking several input examples, the above algorithm returns results as mentioned in Table 3. VIII. Number of Processors (n) FUTURE WORK Table 4: Time Complexity Number of tasks (m) Complexity of algorithm [5] O(mn2) Complexity of present alogorithm O(m+n) This research paper employed static task scheduling model to optimize reliability of the Mobile computing. For future studies, dynamic task scheduling model can be designed for mobile computing or distributed network. Other future work may include develop some other routing techniques or task 639 Vol. 7, Issue 2, pp
6 assignment model to optimize cost, time and reliability of the distributed computing or mobile computing. REFERENCES [1]. AShajin Nargunam, M. P. Sebastian, 2007, Hierarchical Multicast Routing Scheme for Mobile Ad Hoc Network, Vol. 4873, pp [2]. Daeyong Jung, SungHo Chin, KwangSik Chung, Taeweon Suh, HeonChang Yu, JoonMin Gil, 2010, An Effective Job Replication Technique Based on Reliability and Performance in Mobile Grids, Lecture Notes in Computer Science, Vol. 6104, 2010, [3]. Faizul Navi Khan, Kapil Govil, 2013, Distributed Task Allocation Scheme for Performance Improvement in Mobile Computing Network, International Journal of Trends in Computer Science, vol: 2 issue: 3, pp: [4]. Faizul Navi Khan, Kapil Govil, Static Approach for Efficient Task Allocation in Distributed Environment. International Journal of Computer Applications, Vol. 81, Issue 81, [5]. Ilavarasan E, Manoharan R, 2010, High Performance and Energy Efficient Task Scheduling Algorithm for Heterogeneous Mobile Computing System, International Journal of Computer Science & Information Technology, Vol. 2, Issue 2, [6]. Kapil Govil and Dr. Avanish Kumar A modified and efficient algorithm for Static task assignment in Distributed Processing Environment. International Journal of Computer Applications, Vol. 23, Number 8, Article 1, 1 5, ISBN: , ISSN: [7]. Kovvur Ram Mohan Rao, Ramachandram S, Vijaya Kumar Kadappa,Govardhan A, 2011, A Reliable Distributed Grid Scheduler for Independent Tasks, IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 2, [8]. Lei Liu, Chunlin Li, 2010, Mobile Grid Task Scheduling Considering Resource Reliability, Computer Network and Multimedia Technology, ISBN: , 1-4 [9]. Mohammad Abdollahi Azgomi, Reza Entezari-Maleki, 2010, Task scheduling modelling and reliability evaluation of grid services using coloured Petri nets, Future Generation Computer Systems, Volume 26, Issue 8, [10]. Naif Aljabr, Fathy Eassa, 2013, Scheduling Manager for Mobile Cloud Using Multi-Agents, International Journal of Computer and Information Technology, Vol. 02, Issue 3, [11]. Pankaj Saxena, Kapil Govil, An Optimized Algorithm for Enhancement of Performance of Distributed Computing System. International Journal of Computer Applications, Vol. 64, Issue 2, [12]. Qin-Ma Kang, Hong He, Hui-Min Song, and Rong Den, 2010, Task allocation for maximizing reliability of distributed computing systems using honeybee mating optimization, Journal of Systems and Software, Volume 83, Issue 11, [13]. Rajesh D. Bharati, Vilas N. Jagtap, Omsagar C. Gupta, Shivanand S. Landge, 2013, Task Allocation for Maximizing Reliability of Distributed Computing Systems using Dynamic Greedy Heuristic, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 2, Issue 3, pp [14]. Raminder Kaur Introuduction to Mobile Computing. The Journal of Computer Science and Information Tehcnology, Vol. 4, Issue 1, [15]. S.C Shah, S.H. Chauhdary, A.K. Bashir, M.S.Park, 2010, A Centralized Location-Based Job Scheduling Algorithm for Inter-dependent Jobs in Mobile Ad Hoc Computational Grids, Journal of Applied Sciences, Vol. 10, Issue 3, [16]. Sayed Chhattan Shaha, Qurat-Ul-Ain Nizamanib, Sajjad Hussain Chauhdaryc, Myong-Soon Parkd, 2012, An effective and robust two-phase resource allocation scheme for interdependent tasks in mobile ad hoc computational Grids, Journal of Parallel and Distributed Computing, Vol. 72, Issue 12, [17]. Sri Chusri Haryanti, Riri Fitri Sari, 2014, Reliability of Resource Allocation in Mobile Ad Hoc Grid with Tasks Replication, Journal of Computers, Vol. 9, Issue 2, [18]. Thenmozhi, S, A. Tamilarasi, P.T. Vanathi, 2012, A Fault Tolerant Resource Allocation Architecture for Mobile Grid, Journal of Computer Science, Vol. 8, Issue 6, [19]. Wei Ming Lin Performance modeling and analysis of correlated parallel computations. Elsevier Inc. Vol. 34, Issue 9, [20]. Yan Maa, b, Bin Gonga, Ryo Sugiharab, Rajesh Guptab, 2012, Energy-efficient deadline scheduling for heterogeneous systems, Journal of Parallel and Distributed Computing, Vol. 72, Issue 12, Vol. 7, Issue 2, pp
7 AUTHORS BIOGRAPHY Faizul Navi Khan completed his Master in Computer Application from M.D. University Rohtak (Haryana) India in the year 2006, and currently pursuing Ph.D. in Computer Application from Teerthanker Mahaveer University Moradabad, UP, India. He has more than 7+ years of work experience in IT Industry. He is the author of more than 10 research papers published in various journals and conference proceedings. Kapil Govil received his Ph.D. from Bundelkhand University, Jhansi, Uttar Pradesh, India; He has more than 6+ years of work experience in R&D. He has been contributed more than 50 technical research papers, published in various journals and conference proceedings. 641 Vol. 7, Issue 2, pp
Reliability of Resource Allocation in Mobile Ad Hoc Grid with Tasks Replication
328 JOURNAL OF COMPUTERS, VOL. 9, NO. 2, FEBRUARY 2014 Reliability of Resource Allocation in Mobile Ad Hoc Grid with Tasks Replication Sri Chusri Haryanti and Riri Fitri Sari Department of Electrical Engineering,
More informationFair 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 informationAnalysis of Various Crosstalk Avoidance Techniques in Optical Multistage Interconnection Network
International Journal of P2P Network Trends and Technology- VolumeIssue2-2 Analysis of Various Crosstalk Avoidance Techniques in Optical Multistage Interconnection Network Sehajpal Kaur, Rajan Vohra 2,
More informationComparative Analysis of Load Balancing Algorithms in Cloud Computing
Comparative Analysis of Load Balancing Algorithms in Cloud Computing Anoop Yadav Department of Computer Science and Engineering, JIIT, Noida Sec-62, Uttar Pradesh, India ABSTRACT Cloud computing, now a
More informationImproved Hybrid Dynamic Load Balancing Algorithm for Distributed Environment
International Journal of Scientific and Research Publications, Volume 3, Issue 3, March 2013 1 Improved Hybrid Dynamic Load Balancing Algorithm for Distributed Environment UrjashreePatil*, RajashreeShedge**
More informationPerformance Analysis of AQM Schemes in Wired and Wireless Networks based on TCP flow
International Journal of Soft Computing and Engineering (IJSCE) Performance Analysis of AQM Schemes in Wired and Wireless Networks based on TCP flow Abdullah Al Masud, Hossain Md. Shamim, Amina Akhter
More informationKeywords Load balancing, Dispatcher, Distributed Cluster Server, Static Load balancing, Dynamic Load balancing.
Volume 5, Issue 7, July 2015 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com A Hybrid Algorithm
More informationAn Energy Efficient Server Load Balancing Algorithm
An Energy Efficient Server Load Balancing Algorithm Rima M. Shah 1, Dr. Priti Srinivas Sajja 2 1 Assistant Professor in Master of Computer Application,ITM Universe,Vadodara, India 2 Professor at Post Graduate
More informationGrid Computing Approach for Dynamic Load Balancing
International Journal of Computer Sciences and Engineering Open Access Review Paper Volume-4, Issue-1 E-ISSN: 2347-2693 Grid Computing Approach for Dynamic Load Balancing Kapil B. Morey 1*, Sachin B. Jadhav
More informationADAPTIVE 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 informationVarious Schemes of Load Balancing in Distributed Systems- A Review
741 Various Schemes of Load Balancing in Distributed Systems- A Review Monika Kushwaha Pranveer Singh Institute of Technology Kanpur, U.P. (208020) U.P.T.U., Lucknow Saurabh Gupta Pranveer Singh Institute
More informationKeywords Distributed Computing, On Demand Resources, Cloud Computing, Virtualization, Server Consolidation, Load Balancing
Volume 5, Issue 1, January 2015 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Survey on Load
More informationA Comparative Performance Analysis of Load Balancing Algorithms in Distributed System using Qualitative Parameters
A Comparative Performance Analysis of Load Balancing Algorithms in Distributed System using Qualitative Parameters Abhijit A. Rajguru, S.S. Apte Abstract - A distributed system can be viewed as a collection
More informationIMPROVEMENT OF RESPONSE TIME OF LOAD BALANCING ALGORITHM IN CLOUD ENVIROMENT
IMPROVEMENT OF RESPONSE TIME OF LOAD BALANCING ALGORITHM IN CLOUD ENVIROMENT Muhammad Muhammad Bala 1, Miss Preety Kaushik 2, Mr Vivec Demri 3 1, 2, 3 Department of Engineering and Computer Science, Sharda
More informationAbstract. 1. Introduction
A REVIEW-LOAD BALANCING OF WEB SERVER SYSTEM USING SERVICE QUEUE LENGTH Brajendra Kumar, M.Tech (Scholor) LNCT,Bhopal 1; Dr. Vineet Richhariya, HOD(CSE)LNCT Bhopal 2 Abstract In this paper, we describe
More informationA new Method on Resource Scheduling in grid systems based on Hierarchical Stochastic Petri net
A new Method on Resource Scheduling in grid systems based on Hierarchical Stochastic Petri net Mohammad Shojafar Msc. Computer Eng. Computer & Elec. Department Islamic Azad Universty of Qazvin Qazvin,Iran
More informationEfficient Data Replication Scheme based on Hadoop Distributed File System
, pp. 177-186 http://dx.doi.org/10.14257/ijseia.2015.9.12.16 Efficient Data Replication Scheme based on Hadoop Distributed File System Jungha Lee 1, Jaehwa Chung 2 and Daewon Lee 3* 1 Division of Supercomputing,
More informationInternational Journal of Computer Sciences and Engineering Open Access. Hybrid Approach to Round Robin and Priority Based Scheduling Algorithm
International Journal of Computer Sciences and Engineering Open Access Review Paper Volume-4, Issue-2 E-ISSN: 2347-2693 Hybrid Approach to Round Robin and Priority Based Scheduling Algorithm Garima Malik
More informationImplementation of an Efficient RBAC Technique of Cloud Computing in.net Environment
Implementation of an Efficient RBAC Technique of Cloud Computing in.net Environment Ruhi Gupta Department Of Computer Science, Punjabi University, Patiala, India Abstract: Cloud Computing is flourishing
More informationStudy of Various Load Balancing Techniques in Cloud Environment- A Review
International Journal of Computer Sciences and Engineering Open Access Review Paper Volume-4, Issue-04 E-ISSN: 2347-2693 Study of Various Load Balancing Techniques in Cloud Environment- A Review Rajdeep
More informationSTUDY AND SIMULATION OF A DISTRIBUTED REAL-TIME FAULT-TOLERANCE WEB MONITORING SYSTEM
STUDY AND SIMULATION OF A DISTRIBUTED REAL-TIME FAULT-TOLERANCE WEB MONITORING SYSTEM Albert M. K. Cheng, Shaohong Fang Department of Computer Science University of Houston Houston, TX, 77204, USA http://www.cs.uh.edu
More informationPerformance Analysis of VM Scheduling Algorithm of CloudSim in Cloud Computing
IJECT Vo l. 6, Is s u e 1, Sp l-1 Ja n - Ma r c h 2015 ISSN : 2230-7109 (Online) ISSN : 2230-9543 (Print) Performance Analysis Scheduling Algorithm CloudSim in Cloud Computing 1 Md. Ashifuddin Mondal,
More informationHow To Perform Load Balancing In Cloud Computing With An Agent
A New Approach for Dynamic Load Balancing in Cloud Computing Anjali 1, Jitender Grover 2, Manpreet Singh 3, Charanjeet Singh 4, Hemant Sethi 5 1,2,3,4,5 (Department of Computer Science & Engineering, MM
More informationEffective Load Balancing for Cloud Computing using Hybrid AB Algorithm
Effective Load Balancing for Cloud Computing using Hybrid AB Algorithm 1 N. Sasikala and 2 Dr. D. Ramesh PG Scholar, Department of CSE, University College of Engineering (BIT Campus), Tiruchirappalli,
More informationInternational Journal of Emerging Technologies in Computational and Applied Sciences (IJETCAS) www.iasir.net
International Association of Scientific Innovation and Research (IASIR) (An Association Unifying the Sciences, Engineering, and Applied Research) International Journal of Emerging Technologies in Computational
More informationBandwidth Management Framework for Multicasting in Wireless Mesh Networks
Bandwidth Management Framework for Multicasting in Wireless Mesh Networks Manaswi Saha and P. Venkata Krishna Abstract Wireless mesh networks (WMNs) provide a reliable and a scalable solution for multicasting.
More informationLoad Balancing of Web Server System Using Service Queue Length
Load Balancing of Web Server System Using Service Queue Length Brajendra Kumar 1, Dr. Vineet Richhariya 2 1 M.tech Scholar (CSE) LNCT, Bhopal 2 HOD (CSE), LNCT, Bhopal Abstract- In this paper, we describe
More informationA Hybrid Load Balancing Policy underlying Cloud Computing Environment
A Hybrid Load Balancing Policy underlying Cloud Computing Environment S.C. WANG, S.C. TSENG, S.S. WANG*, K.Q. YAN* Chaoyang University of Technology 168, Jifeng E. Rd., Wufeng District, Taichung 41349
More informationA Comparative Survey on Various Load Balancing Techniques in Cloud Computing
2015 IJSRSET Volume 1 Issue 6 Print ISSN : 2395-1990 Online ISSN : 2394-4099 Themed Section: Engineering and Technology A Comparative Survey on Various Load Balancing Techniques in Cloud Computing Patel
More informationA Maintenance Task Scheduling System based on priority and criticality factor
A Maintenance Task Scheduling System based on priority and criticality factor Balamurugan Balusamy #1, M S Ishwarya *2 #1 Email id: balamuruganb@vit.ac.in *2 Email id:ishwaryaseenu@gmail.com #1*2 School
More informationReview on Existing Load Balancing Techniques of Cloud Computing
Review on Existing Load Balancing Techniques of Cloud Computing #Suresh Kumar 1,M.Tech(CSE) #Ragavender 2, Associate Professor, CSE Department # Malla Reddy Engineering College, Hyderabad, TS State, INDIA
More informationENERGY-EFFICIENT TASK SCHEDULING ALGORITHMS FOR CLOUD DATA CENTERS
ENERGY-EFFICIENT TASK SCHEDULING ALGORITHMS FOR CLOUD DATA CENTERS T. Jenifer Nirubah 1, Rose Rani John 2 1 Post-Graduate Student, Department of Computer Science and Engineering, Karunya University, Tamil
More informationIMPROVED LOAD BALANCING MODEL BASED ON PARTITIONING 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 ISSN 2320 088X IJCSMC, Vol. 3, Issue.
More informationA Game Theory Based MapReduce Scheduling Algorithm
A Game Theory Based MapReduce Scheduling Algorithm Ge Song 1, Lei Yu 2, Zide Meng 3, Xuelian Lin 4 Abstract. A Hadoop MapReduce cluster is an environment where multi-users, multijobs and multi-tasks share
More informationInternational Journal of Computer Science Trends and Technology (IJCST) Volume 3 Issue 3, May-June 2015
RESEARCH ARTICLE OPEN ACCESS Ensuring Reliability and High Availability in Cloud by Employing a Fault Tolerance Enabled Load Balancing Algorithm G.Gayathri [1], N.Prabakaran [2] Department of Computer
More informationInternational Journal of Computer & Organization Trends Volume21 Number1 June 2015 A Study on Load Balancing in Cloud Computing
A Study on Load Balancing in Cloud Computing * Parveen Kumar * Er.Mandeep Kaur Guru kashi University,Talwandi Sabo Guru kashi University,Talwandi Sabo Abstract: Load Balancing is a computer networking
More informationA Proposed Framework for Ranking and Reservation of Cloud Services Based on Quality of Service
II,III A Proposed Framework for Ranking and Reservation of Cloud Services Based on Quality of Service I Samir.m.zaid, II Hazem.m.elbakry, III Islam.m.abdelhady I Dept. of Geology, Faculty of Sciences,
More informationIII. SCHEDULING MODEL A. Users: The user enters the jobs to be executed on processor in computational grid.
Volume 3, Issue 5, May 2013 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Job Scheduling Algorithm
More informationA Catechistic Method for Traffic Pattern Discovery in MANET
A Catechistic Method for Traffic Pattern Discovery in MANET R. Saranya 1, R. Santhosh 2 1 PG Scholar, Computer Science and Engineering, Karpagam University, Coimbatore. 2 Assistant Professor, Computer
More informationAn Efficient Checkpointing Scheme Using Price History of Spot Instances in Cloud Computing Environment
An Efficient Checkpointing Scheme Using Price History of Spot Instances in Cloud Computing Environment Daeyong Jung 1, SungHo Chin 1, KwangSik Chung 2, HeonChang Yu 1, JoonMin Gil 3 * 1 Dept. of Computer
More informationIdentifying More Efficient Ways of Load balancing the Web (http) Requests.
International Journal of Allied Practice, Research and Review Website: www.ijaprr.com (ISSN 2350-1294) Identifying More Efficient Ways of Load balancing the Web (http) Requests. Mukesh Negi Project Manager,
More informationSla Aware Load Balancing Algorithm Using Join-Idle Queue for Virtual Machines in Cloud Computing
Sla Aware Load Balancing Using Join-Idle Queue for Virtual Machines in Cloud Computing Mehak Choudhary M.Tech Student [CSE], Dept. of CSE, SKIET, Kurukshetra University, Haryana, India ABSTRACT: Cloud
More informationLoad Balancing in Cloud Computing using Observer's Algorithm with Dynamic Weight Table
Load Balancing in Cloud Computing using Observer's Algorithm with Dynamic Weight Table Anjali Singh M. Tech Scholar (CSE) SKIT Jaipur, 27.anjali01@gmail.com Mahender Kumar Beniwal Reader (CSE & IT), SKIT
More informationKeywords Ad hoc-network protocol, ad hoc cloud computing, performance analysis, simulation models, OPNET 14.5
Volume 6, Issue 4, April 2016 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Comparative Study
More informationDEVELOPMENT OF SMART FIREWALL LOAD BALANCING FRAMEWORK FOR MULTIPLE FIREWALLS WITH AN EFFICIENT HEURISTIC FIREWALL RULE SET
DEVELOPMENT OF SMART FIREWALL LOAD BALANCING FRAMEWORK FOR MULTIPLE FIREWALLS WITH AN EFFICIENT HEURISTIC FIREWALL RULE SET 1 R. BALA KRISHNAN, 2 Dr. N. K. SAKTHIVEL 1 School of Computing, SASTRA University,
More informationINVESTIGATION OF RENDERING AND STREAMING VIDEO CONTENT OVER CLOUD USING VIDEO EMULATOR FOR ENHANCED USER EXPERIENCE
INVESTIGATION OF RENDERING AND STREAMING VIDEO CONTENT OVER CLOUD USING VIDEO EMULATOR FOR ENHANCED USER EXPERIENCE Ankur Saraf * Computer Science Engineering, MIST College, Indore, MP, India ankursaraf007@gmail.com
More informationADVANCED APPLICATIONS OF ELECTRICAL ENGINEERING
Development of a Software Tool for Performance Evaluation of MIMO OFDM Alamouti using a didactical Approach as a Educational and Research support in Wireless Communications JOSE CORDOVA, REBECA ESTRADA
More informationAnalysis of Job Scheduling Algorithms in Cloud Computing
Analysis of Job Scheduling s in Cloud Computing Rajveer Kaur 1, Supriya Kinger 2 1 Research Fellow, Department of Computer Science and Engineering, SGGSWU, Fatehgarh Sahib, India, Punjab (140406) 2 Asst.Professor,
More informationInternational Journal of Computer Science Trends and Technology (IJCST) Volume 2 Issue 4, July-Aug 2014
RESEARCH ARTICLE An Efficient Service Broker Policy for Cloud Computing Environment Kunal Kishor 1, Vivek Thapar 2 Research Scholar 1, Assistant Professor 2 Department of Computer Science and Engineering,
More informationAdvances in Natural and Applied Sciences
AENSI Journals Advances in Natural and Applied Sciences ISSN:1995-0772 EISSN: 1998-1090 Journal home page: www.aensiweb.com/anas Clustering Algorithm Based On Hadoop for Big Data 1 Jayalatchumy D. and
More informationPerformance Analysis of Queuing Disciplines for Different Internet Service Protocols
Performance Analysis of Queuing Disciplines for Different Internet Service Protocols Neha Ghaisas Department of Computer Engineering, R.R Sedamkar Professor and Dean Academics, Rashmi Thakur Asst. Professor,
More informationA Novel Survey on an Intelligent and Efficient Load Balancing Techniques for Cloud Computing
A Novel Survey on an Intelligent and Efficient Load Balancing Techniques for Cloud Computing 1 Kamlesh Kumar, 2 Somil Kumar Gupta, 3 Govind Singh 1 Assistant Professor, Graphic Era Hill University, Bhimtal
More informationDesign and Analysis of Parallel AES Encryption and Decryption Algorithm for Multi Processor Arrays
IOSR Journal of VLSI and Signal Processing (IOSR-JVSP) Volume 5, Issue, Ver. III (Jan - Feb. 205), PP 0- e-issn: 239 4200, p-issn No. : 239 497 www.iosrjournals.org Design and Analysis of Parallel AES
More informationLBVFT: A Load Balancing Technique for Virtualization and Fault Tolerance in Cloud Computing
International Journal of omputer Applications (0975 8887) LBVF: A Load Balancing echnique for Virtualization and Fault olerance in loud omputing Pranesh as epartment of omputer Science and Engineering
More informationEfficient Scheduling Of On-line Services in Cloud Computing Based on Task Migration
Efficient Scheduling Of On-line Services in Cloud Computing Based on Task Migration 1 Harish H G, 2 Dr. R Girisha 1 PG Student, 2 Professor, Department of CSE, PESCE Mandya (An Autonomous Institution under
More informationSPY AGENT BASED SECURE DATA AGGREGATION IN WSN
ISSN: 2229-6948(ONLINE) ICTACT JOURNAL ON COMMUNICATION TECHNOLOGY, DECEMBER 214, VOLUME: 5, ISSUE: 4 SPY AGENT BASED SECURE DATA AGGREGATION IN WSN T. Lathies Bhasker 1 and G. Arul Jagan 2 1 Department
More informationSEED BLOCK ALGORITHM: A REMOTE SMART DATA BACK-UP TECHNIQUE FOR CLOUD COMPUTING
SEED BLOCK ALGORITHM: A REMOTE SMART DATA BACK-UP TECHNIQUE FOR CLOUD COMPUTING Vijayalaxmi V Kadlimatti 1, Ramesh Kumar H K 2 1 M.Tech Student, 2 Assistant Professor, Dept. of Computer Science and Engineering,
More informationEfficient 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 informationPERFORMANCE ANALYSIS OF HIGH RESOLUTION IMAGES USING INTERPOLATION TECHNIQUES IN MULTIMEDIA COMMUNICATION SYSTEM
PERFORMANCE ANALYSIS OF HIGH RESOLUTION IMAGES USING INTERPOLATION TECHNIQUES IN MULTIMEDIA COMMUNICATION SYSTEM Apurva Sinha 1, Mukesh kumar 2, A.K. Jaiswal 3, Rohini Saxena 4 Department of Electronics
More informationANN Based Fault Classifier and Fault Locator for Double Circuit Transmission Line
International Journal of Computer Sciences and Engineering Open Access Research Paper Volume-4, Special Issue-2, April 2016 E-ISSN: 2347-2693 ANN Based Fault Classifier and Fault Locator for Double Circuit
More informationCHARACTERIZING OF INFRASTRUCTURE BY KNOWLEDGE OF MOBILE HYBRID SYSTEM
INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ENGINEERING AND SCIENCE CHARACTERIZING OF INFRASTRUCTURE BY KNOWLEDGE OF MOBILE HYBRID SYSTEM Mohammad Badruzzama Khan 1, Ayesha Romana 2, Akheel Mohammed
More informationTECHNOLOGY ANALYSIS FOR INTERNET OF THINGS USING BIG DATA LEARNING
TECHNOLOGY ANALYSIS FOR INTERNET OF THINGS USING BIG DATA LEARNING Sunghae Jun 1 1 Professor, Department of Statistics, Cheongju University, Chungbuk, Korea Abstract The internet of things (IoT) is an
More informationA 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 informationImproving Cloud Security Using Data Partitioning And Encryption Technique
Improving Cloud Security Using Data Partitioning And Encryption Technique Mr. Akash Kanade Department of Computer Engineering JSPM s JSCOE Pune, India akash.kanade1@gmail.com Ms. Rohini Mule Department
More informationA Survey on Availability and Scalability Requirements in Middleware Service Platform
International Journal of Computer Sciences and Engineering Open Access Survey Paper Volume-4, Issue-4 E-ISSN: 2347-2693 A Survey on Availability and Scalability Requirements in Middleware Service Platform
More informationQUALITY OF SERVICE METRICS FOR DATA TRANSMISSION IN MESH TOPOLOGIES
QUALITY OF SERVICE METRICS FOR DATA TRANSMISSION IN MESH TOPOLOGIES SWATHI NANDURI * ZAHOOR-UL-HUQ * Master of Technology, Associate Professor, G. Pulla Reddy Engineering College, G. Pulla Reddy Engineering
More informationSurvey of Load Balancing Techniques in Cloud Computing
Survey of Load Balancing Techniques in Cloud Computing Nandkishore Patel 1, Ms. Jasmine Jha 2 1, 2 Department of Computer Engineering, 1, 2 L. J. Institute of Engineering and Technology, Ahmedabad, Gujarat,
More informationInternational Journal of Advance Research in Computer Science and Management Studies
Volume 3, Issue 6, June 2015 ISSN: 2321 7782 (Online) International Journal of Advance Research in Computer Science and Management Studies Research Article / Survey Paper / Case Study Available online
More informationDual Strategy based Negotiation for Cloud Service During Service Level Agreement
Dual Strategy based for Cloud During Level Agreement Lissy A Department of Information Technology Maharashtra Institute of Technology Pune, India lissyask@gmail.com Debajyoti Mukhopadhyay Department of
More informationScheduling Allowance Adaptability in Load Balancing technique for Distributed Systems
Scheduling Allowance Adaptability in Load Balancing technique for Distributed Systems G.Rajina #1, P.Nagaraju #2 #1 M.Tech, Computer Science Engineering, TallaPadmavathi Engineering College, Warangal,
More information6545(Print), ISSN 0976 6553(Online) Volume 4, Issue 2, March April (2013), IAEME & TECHNOLOGY (IJEET)
INTERNATIONAL International Journal of JOURNAL Electrical Engineering OF ELECTRICAL and Technology (IJEET), ENGINEERING ISSN 0976 & TECHNOLOGY (IJEET) ISSN 0976 6545(Print) ISSN 0976 6553(Online) Volume
More informationAN IMPROVED PERFORMANCE ANALYSIS OF PRIORITY SCHEDULING ALGORITHM IN MODIFIED AD HOC GRID LAYER
AN IMPROVED PERFORMANCE ANALYSIS OF PRIORITY SCHEDULING ALGORITHM IN MODIFIED AD HOC GRID LAYER R. Bhaskaran 1 and V.Parthasarathy 2 1 Department of Information Technology, PSNA College of Engg. and Technology,
More informationAn Effective Dynamic Load Balancing Algorithm for Grid System
An Effective Dynamic Load Balancing Algorithm for Grid System Prakash Kumar #1, Pradeep Kumar #2, Vikas Kumar *3 1,2 Department of CSE, NIET, MTU University, Noida, India 3 Linux Administrator, Eurus Internetworks
More informationProposal of Dynamic Load Balancing Algorithm in Grid System
www.ijcsi.org 186 Proposal of Dynamic Load Balancing Algorithm in Grid System Sherihan Abu Elenin Faculty of Computers and Information Mansoura University, Egypt Abstract This paper proposed dynamic load
More informationA Study on the Application of Existing Load Balancing Algorithms for Large, Dynamic, Heterogeneous Distributed Systems
A Study on the Application of Existing Load Balancing Algorithms for Large, Dynamic, Heterogeneous Distributed Systems RUPAM MUKHOPADHYAY, DIBYAJYOTI GHOSH AND NANDINI MUKHERJEE Department of Computer
More informationLoad Balancing Scheduling with Shortest Load First
, pp. 171-178 http://dx.doi.org/10.14257/ijgdc.2015.8.4.17 Load Balancing Scheduling with Shortest Load First Ranjan Kumar Mondal 1, Enakshmi Nandi 2 and Debabrata Sarddar 3 1 Department of Computer Science
More informationMinimize Response Time Using Distance Based Load Balancer Selection Scheme
Minimize Response Time Using Distance Based Load Balancer Selection Scheme K. Durga Priyanka M.Tech CSE Dept., Institute of Aeronautical Engineering, HYD-500043, Andhra Pradesh, India. Dr.N. Chandra Sekhar
More informationCOMPARATIVE ANALYSIS OF DIFFERENT QUEUING MECHANISMS IN HETROGENEOUS NETWORKS
COMPARATIVE ANALYSIS OF DIFFERENT QUEUING MECHANISMS IN HETROGENEOUS NETWORKS Shubhangi Rastogi 1, Samir Srivastava 2 M.Tech Student, Computer Science and Engineering, KNIT, Sultanpur, India 1 Associate
More informationGroup Based Load Balancing Algorithm in Cloud Computing Virtualization
Group Based Load Balancing Algorithm in Cloud Computing Virtualization Rishi Bhardwaj, 2 Sangeeta Mittal, Student, 2 Assistant Professor, Department of Computer Science, Jaypee Institute of Information
More informationKeywords: PDAs, VM. 2015, IJARCSSE All Rights Reserved Page 365
Volume 5, Issue 7, July 2015 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com Energy Adaptive
More information[Sathish Kumar, 4(3): March, 2015] ISSN: 2277-9655 Scientific Journal Impact Factor: 3.449 (ISRA), Impact Factor: 2.114
IJESRT INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY HANDLING HEAVY-TAILED TRAFFIC IN QUEUEING NETWORKS USING MAX WEIGHT ALGORITHM M.Sathish Kumar *, G.Sathish Kumar * Department
More informationPayment minimization and Error-tolerant Resource Allocation for Cloud System Using equally spread current execution load
Payment minimization and Error-tolerant Resource Allocation for Cloud System Using equally spread current execution load Pooja.B. Jewargi Prof. Jyoti.Patil Department of computer science and engineering,
More informationAutomated Model Based Testing for an Web Applications
Automated Model Based Testing for an Web Applications Agasarpa Mounica, Lokanadham Naidu Vadlamudi Abstract- As the development of web applications plays a major role in our day-to-day life. Modeling the
More informationA Survey on Carbon Emission Management and Intelligent System using Cloud
A Survey on Carbon Emission Management and Intelligent System using Cloud Dr.P EZHILARASU 1 (Associate Professor, Department of Computer Science and Engineering prof.p.ezhilarasu@gmail.com) S SARANYA 2
More informationSurvey on Load Rebalancing for Distributed File System in Cloud
Survey on Load Rebalancing for Distributed File System in Cloud Prof. Pranalini S. Ketkar Ankita Bhimrao Patkure IT Department, DCOER, PG Scholar, Computer Department DCOER, Pune University Pune university
More informationLoad Balancing in cloud computing
Load Balancing in cloud computing 1 Foram F Kherani, 2 Prof.Jignesh Vania Department of computer engineering, Lok Jagruti Kendra Institute of Technology, India 1 kheraniforam@gmail.com, 2 jigumy@gmail.com
More informationCloud 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 informationFLBVFT: A Fuzzy Load Balancing Technique for Virtualization and Fault Tolerance in Cloud
2015 (8): 131-135 FLBVFT: A Fuzzy Load Balancing Technique for Virtualization and Fault Tolerance in Cloud Rogheyeh Salehi 1, Alireza Mahini 2 1. Sama technical and vocational training college, Islamic
More informationA Review on Load Balancing In Cloud Computing 1
www.ijecs.in International Journal Of Engineering And Computer Science ISSN:2319-7242 Volume 4 Issue 6 June 2015, Page No. 12333-12339 A Review on Load Balancing In Cloud Computing 1 Peenaz Pathak, 2 Er.Kamna
More informationAN EFFICIENT STRATEGY OF AGGREGATE SECURE DATA TRANSMISSION
INTERNATIONAL JOURNAL OF REVIEWS ON RECENT ELECTRONICS AND COMPUTER SCIENCE AN EFFICIENT STRATEGY OF AGGREGATE SECURE DATA TRANSMISSION K.Anusha 1, K.Sudha 2 1 M.Tech Student, Dept of CSE, Aurora's Technological
More informationNetwork Selection Using TOPSIS in Vertical Handover Decision Schemes for Heterogeneous Wireless Networks
www.ijcsi.org 400 Network Selection Using TOPSIS in Vertical Handover Decision Schemes for Heterogeneous Wireless Networks K.Savitha 1, DR.C.Chandrasekar 2 1 Research Scholar, Periyar University Salem,
More informationLoad Balancing for Improved Quality of Service in the Cloud
Load Balancing for Improved Quality of Service in the Cloud AMAL ZAOUCH Mathématique informatique et traitement de l information Faculté des Sciences Ben M SIK CASABLANCA, MORROCO FAOUZIA BENABBOU Mathématique
More informationMultilevel Communication Aware Approach for Load Balancing
Multilevel Communication Aware Approach for Load Balancing 1 Dipti Patel, 2 Ashil Patel Department of Information Technology, L.D. College of Engineering, Gujarat Technological University, Ahmedabad 1
More informationIMPLEMENTATION OF SOURCE DEDUPLICATION FOR CLOUD BACKUP SERVICES BY EXPLOITING APPLICATION AWARENESS
IMPLEMENTATION OF SOURCE DEDUPLICATION FOR CLOUD BACKUP SERVICES BY EXPLOITING APPLICATION AWARENESS Nehal Markandeya 1, Sandip Khillare 2, Rekha Bagate 3, Sayali Badave 4 Vaishali Barkade 5 12 3 4 5 (Department
More informationCost Estimation in Heterogeneous Cloud Environment using Fault Tolerance Services
Cost Estimation in Heterogeneous Cloud Environment using Fault Tolerance Services 1 K. Chitra, 2 Dr. Sivaprakasam, 1 Research Scholar, Mother Teresa Women s University, Kodaikanal, INDIA 2 Associate Professor,
More informationA 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 informationUtilizing Round Robin Concept for Load Balancing Algorithm at Virtual Machine Level in Cloud Environment
Utilizing Round Robin Concept for Load Balancing Algorithm at Virtual Machine Level in Cloud Environment Stuti Dave B H Gardi College of Engineering & Technology Rajkot Gujarat - India Prashant Maheta
More informationA Dynamic Load Balancing Algorithm For Web Applications
Computing For Nation Development, February 25 26, 2010 Bharati Vidyapeeth s Institute of Computer Applications and Management, New Delhi A Dynamic Load Balancing Algorithm For Web Applications 1 Sameena
More informationEnhanced Load Balancing in Clustered Cloud-based Multimedia System
Enhanced Load Balancing in Clustered Cloud-based Multimedia System Suresh Babu Kuntumalla 1, Lakshumaiah Maddigalla 2 1 M.Tech Scholar (Software Engineering), 2 Working as Assistant Professor and Head
More informationHow To Balance Network Load In A Wireless Sensor Network
Balancing Network Traffic Load in Geographic Hash Table (GHT) R. Asha, V.Manju, Meka Sindhu & T. Subha Department of Information Technology, Sri Sai Ram Engineering College, Chennai. E-mail : ashaniteesh@gmail.com,
More information