Cloud Based E-Learning Platform Using Dynamic Chunk Size
|
|
- Ambrose Owen
- 8 years ago
- Views:
Transcription
1 Cloud Based E-Learning Platform Using Dynamic Chunk Size Dinoop M.S #1, Durga.S*2 PG Scholar, Karunya University Assistant Professor, Karunya University Abstract: E-learning is a tool which has the potential to enhance and support the traditional education method. This paper present and design the novel approach for the e-learning video on demand service using the new innovating technology, cloud computing. For providing the fast down loading and uploading of videos, high security to the data, less consumption of band width proposed approach using the dynamic chunk size method. I.INTRODUCTION Structured learning[1] that is carried out over an electronic platform is called e-learning. E- learning services can be divided in to Synchronous and Asynchronous e-learning services[2]. In synchronous e-learning system the students need to be online at predefined time. Asynchronous e- learning service can be accessed by the students whenever they want. Four main components needed for effective e-learning system are the participants, facilitator, course design and technology support. E- learning service is provided for complete training or to provide just in time information and expert guidance. This paper describes a synchronous e- learning system in which the students must be present at the class time to get the streaming video tutorial online.[3]video on demand is one of the advancements in the area of multimedia service using which user can select and view the selected video. Examples of applications of video on demand are movies on Demand, E-Ecommerce, Interactive advertisement etc. there are three types of playing methods. They are download mode, streaming and progressive download or pseudo streaming. In download mode the downloaded video is played only after the complete download of the video. In Streaming mode the video is downloaded in parts andeach part is decoded and played before the complete video is downloaded. In progressive download the video is downloaded as in download mode but the user can play the video if the download speed is sufficiently greater than the playingrate.main issues in video on demand service are providing sufficient bandwidth with low cost and security of video content[4].there are many technologies that can be used to provide e-learning video on demand through internet. They can be traditional web based technology, grid technology and cloud technology. Connecting and integrating ideal system resources with the application of proper operating system and software are called grid computing technology. By using this technique collection of sufficient computing power for a super computer is generated. [5]Providing computational power to a remote place through a tcp/ip network such as internet is called cloud computing. The main features of cloud computing are location independent access, competitively low deployment cost, scalability etc. So this provides an effective system for providing e- learning video on demand. The challenges in providing an e-learning system are Timing, Security, Bandwidth, Storage, Quality of service etc. As explained in a synchronous video on demand learning system the timing of students and staffs are important. Security of video content is important to avoid piracy. Sufficient bandwidth is needed for an e-learning system. The problem is we should expect scalability as the number of students may ramp up any time. Application of cloud technology can reduce this problem. Storage space can be reduced by light ISSN: Page 406
2 weight storage and using efficient video compression technique. The quality of service can be reduced by the usage of Content Delivery Network (CDN). The novel approach is based on the progressive -learning, here we introduce the cloudbased e-learning for the increase of performance,security,and less bandwidth consumption. II. RELATED WORKS There are mainly three types of well-known web based approaches. They are multi thread based, RMI based and service oriented based. In 2011 DimitrisKarakasilisand et al.[6] proposed a method in which python threads running over the server carries out the functions of the video on demand system. We can use a remote procedure from a remote place to activate the video streaming. P.Seethalakshmi and et al [7].proposed an RMI based method. The clients can access the media server at any time they want. Then a multimedia environment is created by the server. This is done by summing up the contents for each request and starting a new thread for each of different content. Valerie monfort and et al. proposed [8]a service oriented architecture for e-learning. This created interoperability between remote and local homogenous and heterogeneous applications by using reusable service logic. This provides a standardization. Kong Feng and et al. and Chao Tung and et al. proposed[9] two different architectures for grid based e-learning video on demand methods. This method reduces the draw back in traditional web based approach that is a highly loaded server. This uses data grid and computational grid to fulfil the needs for video on demand systems. This technology integrates many video on demand nodes which solves the storage as well as the computational needs of the system. Information service, file management, resource scheduling, grid portal and content storage are different components used in these systems to provide a video on demand distribution algorithm. The advantages of the system are efficient usage of resources and delivery of high computational power and storage. The main disadvantages of these systems are there are no interactive job submission and grid software standards are still evolving. III. PROPOSED WORK Novel approach is brings the traditional way of learning in the new world in the new manner with the help of cloud computing. The novel approach is based on the progressive e-learning,here we introduce the cloud-based e-learning for the increase of performance,security,and less bandwidth consumption. The performance cloud based e-learning video on demand system can be increased by two techniques. First Adaptive chunk size[10] and Second Applying a light weight cloud storage engine. From the performance analyses it is proved that if the chunk size is increased then the upload time of the video is decreased. So instead of using a fixed chunk size we can calculate the server load and adaptively change the chunk size. If the server load is high then the chunk size is decreased and also if the server load is low then the chunk size is increased. Video capture Video capture is the first step in the e- learning. High definition quality cameras are used to capture the sound and video. Thus they create a virtual class room. The class room may be anywhere in the world, the users of e-learning only require the browser which support the internet connection. The videos can upload only the register members of cloud. In order to ensure the security and access control to the data, clouds provide the biometric authentication mechanism to the users. The following diagram explains how the users can upload their data in to cloud. ISSN: Page 407
3 To upload the data to the cloud, Server load calculator first calculate the dynamic load of the server. Then they divide the file size in to different size of chunks according to the load of the server. The different size of chunks is uploaded in to the server. Dynamic chunk size of the file helps to effectively store the data without the wastage of storage. Fig 1: Basic credential diagram For uploading data to the cloud first the user registers their details in to the cloud and obtains the credentials for the further usage. Then the cloud provider is stored the values on the database. When the users want to upload the data in to the cloud first they submit the value to the database. The cloud provider is verifying that whether they submitted value and the derived value are equal. If both the values are equal then they allow uploading the value in to the database. Uploading Video uploading can be done using the cloud system. To provide the efficient storage of cloud, our techniques using dynamic chunk size method. The diagram shows the dynamic chunk size method. The files are stored using the blob concept. In blob data are stored in the binary format. To provide the integrity to the data for each blob storage value s high security factor (HSF) is calculated and stored with the files. The HSF is calculated by first setting the middle factor value of the each row, then xoring the first and last values for each row. Down loading The users for attending the class also register with the cloud provider. The clod providers give the credentials to the users. These are the second category of the users in the e-learning, they are attending the classes. The cloud provider update the time of the class to the users. The videos are streamed to the user s machine and they can easily watch and users got the feeling that they are attending the real classes without any interception.during the time of streaming they check the HSF value of the blobs. If the derived value of HSF is same as that of the previous calculated value then the data stored in the storage is the correct one and the integrity is maintained. Otherwise the the data may be corrupted. Analysis of Result This section analysis the result of proposed scheme with the fixed chunk sizes. In the fixed chunk scheme the file is divided in to fixed size and stored in the destination while in the dynamic loads the files are stored on the basis of server loads. Fig 2: Cloud Implementation diagram ISSN: Page 408
4 The diagram shows the download time analysis of fixed and dynamic chunk sizes. The dynamic chunk size has the less down load time compared with the fixed one. The figure, shows for fixed size of 32,64kb. The download time is less than of 800 ms for various workloads. The down load time graph is similar to the upload graph. Fig 3: Upload time for 32Kb The diagram shows the comparison between the proposed system and the fixed chunk size. In fixed chunk size the files are divided in to 32 kb and uploaded. It takes higher time compared to the proposed techniques. Whatever may be the file size it have the increased upload time for the previous method. The following diagram shows when we divide the file in to fixed size of 64 kb. Fixed chunk also have the same performance degradation compared to the proposed method. Fig 5: Download time for 32Kb On the analysis of above graph clearly we can found that the Dynamic chunk size having the less down load time but the one problem is that it has greater down load time when we upload the 25kb file in the case of file divided with the 64kb sizes. But for the 32kb fixed chunk size the proposed scheme has the lesser down load time. Fig 4: Upload time for 64 Kb ISSN: Page 409
5 IV. CONCLUSION In this paper we havedesign, implemented and presented the e-learning approach using Dynamic chunk size. This method having the less download, upload time.server load calculation is helpful to know the dynamic load of the system. When compared this approach to other method it provide the services to the users. V. REFERENCE Scalability Fig 6: Download time for 64 Kb Scalability in cloud computing is the ability to accommodate the increase number of users. In e- learning using dynamic chunk size able to provide the services to the number of users. Proposed e- learning method accommodate the increased number of users with the higher security, performance etc. [1]Franc Kozamernik, media streaming over internet an overview of delivery technologies. ebu technical review october 2002 [2] Di Niu, Hong Xu, Baochun Li and Shuqiao Zhao, Quality-Assured Cloud Bandwidth Auto-Scaling for Videoon-Demand Applications [3] Chao-Tung Yang and Hsin-ChuanHo, An e-learning Platform Based on Grid Architecture, journal of information science and engineering 21, (2005) [4]R. Lavanya, and V. Ramachandran, Cloud based video ondemand model with performance enhancement.,malaysianjournal of Computer Science, Vol. 24(2), 2011 [5] S MohanaSaranya, Dr M Vijayalakshmi, interactive mobile live video learning system in cloud environment,ieeeinternational conference on recent tents in informationtechnology, June 3-5,2011 [6] DimitrisKarakasilis, FotisGeorgatos, TheodorosAlexopoulos, Application of Live Video Streaming over GRID and Cloud infrastructures, th IEEE [7]p.Seethalakshmi and V Ramachandran RMI based load sharing and caching for media on demand international conference on Digital Aided Modeling and Simulation DAMS 2003 january [8] Valerie monfortanemahakhemaja Using SAAs and Cloud computing For On Demand E-learning service IEEE 10 th international conference on Advanced Learning Technologies 2010 [9] Kong Feng, Yang Xudong, A Study on Grid-based VODSystem in the E-Learning,2009 International Forum oninformation Technology and Applications [10] LavanyaRajendran and RamachandranVeilumuthu, A Cost- Effective Cloud Service for E-Learning Video on Demand, European Journal of Scientific Research ISSN X Vol.55 No.4 (2011), pp Fig 7: Scalability The diagram shows the number of users v/s performance degradation. For the dynamic chunk size the performance degradation is less compared with 32kb fixed size. ISSN: Page 410
Secure & Encrypted Accessing and Sharing of Data in Distributed Virtual Cloud
Secure & Encrypted Accessing and Sharing of Data in Distributed Virtual Cloud Ashish G. Ahuja 1, Prof. Komal B. Bijwe 2 1. M.E. Scholar, Dept Of CSE 2. Asst. Prof. Dept. Of CSE at P.R.P.C.E& M, Amravati
More informationImplementation 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 informationVirtualization Technology using Virtual Machines for Cloud Computing
International OPEN ACCESS Journal Of Modern Engineering Research (IJMER) Virtualization Technology using Virtual Machines for Cloud Computing T. Kamalakar Raju 1, A. Lavanya 2, Dr. M. Rajanikanth 2 1,
More informationA Novel Load Balancing Optimization Algorithm Based on Peer-to-Peer
A Novel Load Balancing Optimization Algorithm Based on Peer-to-Peer Technology in Streaming Media College of Computer Science, South-Central University for Nationalities, Wuhan 430074, China shuwanneng@yahoo.com.cn
More informationCHAPTER 8 CLOUD COMPUTING
CHAPTER 8 CLOUD COMPUTING SE 458 SERVICE ORIENTED ARCHITECTURE Assist. Prof. Dr. Volkan TUNALI Faculty of Engineering and Natural Sciences / Maltepe University Topics 2 Cloud Computing Essential Characteristics
More informationIMPROVING QUALITY OF VIDEOS IN VIDEO STREAMING USING FRAMEWORK IN THE CLOUD
IMPROVING QUALITY OF VIDEOS IN VIDEO STREAMING USING FRAMEWORK IN THE CLOUD R.Dhanya 1, Mr. G.R.Anantha Raman 2 1. Department of Computer Science and Engineering, Adhiyamaan college of Engineering(Hosur).
More informationIntelligent Content Delivery Network (CDN) The New Generation of High-Quality Network
White paper Intelligent Content Delivery Network (CDN) The New Generation of High-Quality Network July 2001 Executive Summary Rich media content like audio and video streaming over the Internet is becoming
More informationDATA SECURITY IN CLOUD USING ADVANCED SECURE DE-DUPLICATION
DATA SECURITY IN CLOUD USING ADVANCED SECURE DE-DUPLICATION Hasna.R 1, S.Sangeetha 2 1 PG Scholar, Dhanalakshmi Srinivasan College of Engineering, Coimbatore. 2 Assistant Professor, Dhanalakshmi Srinivasan
More informationContent Distribution Scheme for Efficient and Interactive Video Streaming Using Cloud
Content Distribution Scheme for Efficient and Interactive Video Streaming Using Cloud Pramod Kumar H N Post-Graduate Student (CSE), P.E.S College of Engineering, Mandya, India Abstract: Now days, more
More informationProof of Retrivability: A Third Party Auditor Using Cloud Computing
Proof of Retrivability: A Third Party Auditor Using Cloud Computing Vijayaraghavan U 1, Madonna Arieth R 2, Geethanjali K 3 1,2 Asst. Professor, Dept of CSE, RVS College of Engineering& Technology, Pondicherry
More informationDynamic Query Updation for User Authentication in cloud Environment
Dynamic Query Updation for User Authentication in cloud Environment Gaurav Shrivastava 1, Dr. S. Prabakaran 2 1 Research Scholar, Department of Computer Science, SRM University, Kattankulathur, Tamilnadu,
More informationAUTOMATED 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 informationAn Approach Towards Customized Multi- Tenancy
I.J.Modern Education and Computer Science, 2012, 9, 39-44 Published Online September 2012 in MECS (http://www.mecs-press.org/) DOI: 10.5815/ijmecs.2012.09.05 An Approach Towards Customized Multi- Tenancy
More informationA Survey on Load Balancing and Scheduling in Cloud Computing
IJIRST International Journal for Innovative Research in Science & Technology Volume 1 Issue 7 December 2014 ISSN (online): 2349-6010 A Survey on Load Balancing and Scheduling in Cloud Computing Niraj Patel
More informationAN IMPLEMENTATION OF E- LEARNING SYSTEM IN PRIVATE CLOUD
AN IMPLEMENTATION OF E- LEARNING SYSTEM IN PRIVATE CLOUD M. Lawanya Shri 1, Dr. S. Subha 2 1 Assistant Professor,School of Information Technology and Engineering, Vellore Institute of Technology, Vellore-632014
More informationTutorial on Client-Server Architecture
Tutorial on Client-Server Architecture SEEM3430 Information Systems Analysis and Design Pengfei Liu Department of Systems Engineering and Engineering Management The Chinese University of Hong Kong March
More informationCS423 Spring 2015 MP4: Dynamic Load Balancer Due April 27 th at 9:00 am 2015
CS423 Spring 2015 MP4: Dynamic Load Balancer Due April 27 th at 9:00 am 2015 1. Goals and Overview 1. In this MP you will design a Dynamic Load Balancer architecture for a Distributed System 2. You will
More informationPACK: PREDICTION-BASED CLOUD BANDWIDTH AND COST REDUCTION SYSTEM
PACK: PREDICTION-BASED CLOUD BANDWIDTH AND COST REDUCTION SYSTEM Abstract: In this paper, we present PACK (Predictive ACKs), a novel end-to-end traffic redundancy elimination (TRE) system, designed for
More informationDeveloping Microsoft Azure Solutions
Course 20532A: Developing Microsoft Azure Solutions Page 1 of 7 Developing Microsoft Azure Solutions Course 20532A: 4 days; Instructor-Led Introduction This course is intended for students who have experience
More informationTIME EFFICIENT DISTRIBUTED FILE STORAGE AND SHARING USING P2P NETWORK IN CLOUD
TIME EFFICIENT DISTRIBUTED FILE STORAGE AND SHARING USING P2P NETWORK IN CLOUD Sapana Kapadnis 1,Prof. Ranjana Dahake 2 Department of Computer Engineering, MET BKC, Adgoan ABSTRACT In cloud computing most
More informationInternet Video Streaming and Cloud-based Multimedia Applications. Outline
Internet Video Streaming and Cloud-based Multimedia Applications Yifeng He, yhe@ee.ryerson.ca Ling Guan, lguan@ee.ryerson.ca 1 Outline Internet video streaming Overview Video coding Approaches for video
More information2. Research and Development on the Autonomic Operation. Control Infrastructure Technologies in the Cloud Computing Environment
R&D supporting future cloud computing infrastructure technologies Research and Development on Autonomic Operation Control Infrastructure Technologies in the Cloud Computing Environment DEMPO Hiroshi, KAMI
More informationAccelerating Cloud Based Services
Accelerating Cloud Based Services A White Paper February 2011 1.1 Replify 2011 Table of Contents Executive Summary... 3 Introduction... 4 The Network a Barrier to Cloud Adoption... 4 Current Solutions...
More informationData Integrity by Aes Algorithm ISSN 2319-9725
Data Integrity by Aes Algorithm ISSN 2319-9725 Alpha Vijayan Nidhiya Krishna Sreelakshmi T N Jyotsna Shukla Abstract: In the cloud computing, data is moved to a remotely located cloud server. Cloud will
More informationExecutive Brief for Sharing Sites & Digital Content Providers. Leveraging Hybrid P2P Technology to Enhance the Customer Experience and Grow Profits
Executive Brief for Sharing Sites & Digital Content Providers Leveraging Hybrid P2P Technology to Enhance the Customer Experience and Grow Profits Executive Summary The Opportunity/Challenge The revenue
More informationOverview. Timeline Cloud Features and Technology
Overview Timeline Cloud is a backup software that creates continuous real time backups of your system and data to provide your company with a scalable, reliable and secure backup solution. Storage servers
More informationOn Cloud Computing Technology in the Construction of Digital Campus
2012 International Conference on Innovation and Information Management (ICIIM 2012) IPCSIT vol. 36 (2012) (2012) IACSIT Press, Singapore On Cloud Computing Technology in the Construction of Digital Campus
More informationEnergy Conscious Virtual Machine Migration by Job Shop Scheduling Algorithm
Energy Conscious Virtual Machine Migration by Job Shop Scheduling Algorithm Shanthipriya.M 1, S.T.Munusamy 2 ProfSrinivasan. R 3 M.Tech (IT) Student, Department of IT, PSV College of Engg & Tech, Krishnagiri,
More informationCloud 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 informationTowards Cloud Streaming: architecture, mechanism and deployments
outline Towards Cloud Streaming: architecture, mechanism and deployments IETF-78, Clouds bar BoF, July 2010 Xiaogang Wei (arojoy@forcetech.net) Lisa Dewar (lisamariedewar@googlemail.com) About ForceTech
More informationHYBRID ACO-IWD OPTIMIZATION ALGORITHM FOR MINIMIZING WEIGHTED FLOWTIME IN CLOUD-BASED PARAMETER SWEEP EXPERIMENTS
HYBRID ACO-IWD OPTIMIZATION ALGORITHM FOR MINIMIZING WEIGHTED FLOWTIME IN CLOUD-BASED PARAMETER SWEEP EXPERIMENTS R. Angel Preethima 1, Margret Johnson 2 1 Student, Computer Science and Engineering, Karunya
More informationA Survey on Load Balancing Techniques Using ACO Algorithm
A Survey on Load Balancing Techniques Using ACO Algorithm Preeti Kushwah Department of Computer Science & Engineering, Acropolis Institute of Technology and Research Indore bypass road Mangliya square
More informationSecurity Analysis of Cloud Computing: A Survey
Security Analysis of Cloud Computing: A Survey Kamaljeet Pakhre 1, Navdeep Singh 2, Sanket Mani Tiwari 3 1,2,3 Research Scholar, M. Tech. (CSE), Galgotias University, Greater Noida, India. Abstract Now
More informationMulti-level Metadata Management Scheme for Cloud Storage System
, pp.231-240 http://dx.doi.org/10.14257/ijmue.2014.9.1.22 Multi-level Metadata Management Scheme for Cloud Storage System Jin San Kong 1, Min Ja Kim 2, Wan Yeon Lee 3, Chuck Yoo 2 and Young Woong Ko 1
More informationLoad balancing as a strategy learning task
Scholarly Journal of Scientific Research and Essay (SJSRE) Vol. 1(2), pp. 30-34, April 2012 Available online at http:// www.scholarly-journals.com/sjsre ISSN 2315-6163 2012 Scholarly-Journals Review Load
More informationTwo Dimensional Array Based Overlay Network for Balancing Load of Peer-to-Peer Live Video Streaming
Two Dimensional Array Based Overlay Network for Balancing Load of Peer-to-Peer Live Video Streaming Abdullah Faruq Ibn Ibrahimy, Islam Md. Rafiqul, Farhat Anwar and Muhammad Ibn Ibrahimy Department of
More informationCloud Computing in Medical Diagnosis for improving Health Care Environment
Cloud Computing in Medical Diagnosis for improving Health Care Environment Dr.V.Jeyabalaraja 1,Dr.M.S.Josephine 2 1 Professor, Velammal Engineering College, 2 Professor, Dr.MGR University, jeyabalaraja@gmail.com,
More informationCloud 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 informationISSN 2319-8885 Vol.04,Issue.19, June-2015, Pages:3633-3638. www.ijsetr.com
ISSN 2319-8885 Vol.04,Issue.19, June-2015, Pages:3633-3638 www.ijsetr.com Refining Efficiency of Cloud Storage Services using De-Duplication SARA BEGUM 1, SHAISTA NOUSHEEN 2, KHADERBI SHAIK 3 1 PG Scholar,
More informationIDENTIFYING AND OPTIMIZING DATA DUPLICATION BY EFFICIENT MEMORY ALLOCATION IN REPOSITORY BY SINGLE INSTANCE STORAGE
IDENTIFYING AND OPTIMIZING DATA DUPLICATION BY EFFICIENT MEMORY ALLOCATION IN REPOSITORY BY SINGLE INSTANCE STORAGE 1 M.PRADEEP RAJA, 2 R.C SANTHOSH KUMAR, 3 P.KIRUTHIGA, 4 V. LOGESHWARI 1,2,3 Student,
More informationParametric Analysis of Mobile Cloud Computing using Simulation Modeling
Parametric Analysis of Mobile Cloud Computing using Simulation Modeling Arani Bhattacharya Pradipta De Mobile System and Solutions Lab (MoSyS) The State University of New York, Korea (SUNY Korea) StonyBrook
More informationLoad Balancing in Fault Tolerant Video Server
Load Balancing in Fault Tolerant Video Server # D. N. Sujatha*, Girish K*, Rashmi B*, Venugopal K. R*, L. M. Patnaik** *Department of Computer Science and Engineering University Visvesvaraya College of
More informationCLOUD COMPUTING AND BENEFITS OF PRIVATE CLOUD IN E-LEARNING SOLUTIONS
CLOUD COMPUTING AND BENEFITS OF PRIVATE CLOUD IN E-LEARNING SOLUTIONS SHRINIVAS ADHYAPAK DEPARTMENT OF MCA, BLDEA S COLLEGE OF ENGINEERING & TECHNOLOGY, ASHRAM ROAD, BIJAPUR,shrinivasadhyapak@gmail.com
More informationA Dynamic Resource Management with Energy Saving Mechanism for Supporting Cloud Computing
A Dynamic Resource Management with Energy Saving Mechanism for Supporting Cloud Computing Liang-Teh Lee, Kang-Yuan Liu, Hui-Yang Huang and Chia-Ying Tseng Department of Computer Science and Engineering,
More informationAnalysis and Design of Mobile Cloud Computing for Online Banking Application System
Analysis and Design of Mobile Cloud Computing for Online Banking Application System M.Sasi, Dr.L.Larance 1 Research Scholar, 2 Assistant Professor, Department of Computer Science Engineering, Birla Institute
More informationLoad Balancing in the Cloud Computing Using Virtual Machine Migration: A Review
Load Balancing in the Cloud Computing Using Virtual Machine Migration: A Review 1 Rukman Palta, 2 Rubal Jeet 1,2 Indo Global College Of Engineering, Abhipur, Punjab Technical University, jalandhar,india
More informationIndex Terms : Load rebalance, distributed file systems, clouds, movement cost, load imbalance, chunk.
Load Rebalancing for Distributed File Systems in Clouds. Smita Salunkhe, S. S. Sannakki Department of Computer Science and Engineering KLS Gogte Institute of Technology, Belgaum, Karnataka, India Affiliated
More informationDistributed Management for Load Balancing in Prediction-Based Cloud
Distributed Management for Load Balancing in Prediction-Based Cloud T.Vijayakumar 1, Dr. D. Chitra 2 P.G. Student, Department of Computer Engineering, P.A. College of, Pollachi, Tamilnadu, India 1 Professor
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 informationCAME: Cloud-Assisted Motion Estimation for Mobile Video Compression and Transmission
CAME: Cloud-Assisted Motion Estimation for Mobile Video Compression and Transmission Yuan Zhao yza173@sfu.ca Jiangchuan Liu jcliu@sfu.ca Lei Zhang lza70@sfu.ca Hongbo Jiang Department of EIE Huazhong University
More informationEncryption and Decryption for Secure Communication
Encryption and Decryption for Secure Communication Charu Rohilla Rahul Kumar Yadav Sugandha Singh Research Scholar, M.TECH CSE Dept. Asst. Prof. IT Dept. Asso. Prof. CSE Dept. PDMCE, B.Garh PDMCE, B.Garh
More informationA Novel Way of Deduplication Approach for Cloud Backup Services Using Block Index Caching Technique
A Novel Way of Deduplication Approach for Cloud Backup Services Using Block Index Caching Technique Jyoti Malhotra 1,Priya Ghyare 2 Associate Professor, Dept. of Information Technology, MIT College of
More informationThe Construction of Seismic and Geological Studies' Cloud Platform Using Desktop Cloud Visualization Technology
Send Orders for Reprints to reprints@benthamscience.ae 1582 The Open Cybernetics & Systemics Journal, 2015, 9, 1582-1586 Open Access The Construction of Seismic and Geological Studies' Cloud Platform Using
More informationDesign and Analysis of Mobile Learning Management System based on Web App
, pp. 417-428 http://dx.doi.org/10.14257/ijmue.2015.10.1.38 Design and Analysis of Mobile Learning Management System based on Web App Shinwon Lee Department of Computer System Engineering, Jungwon University,
More informationWeb Interface using HTML5 for Interaction between Mobile Device & Cloud- Services
Web Interface using HTML5 for Interaction between Mobile Device & Cloud- Services Nimit S Modi,Proff.Yask Patel Computer Department,PIET, Baroda. IT Department,PIET,Baroda Abstract Mobile cloud computing
More informationInternational 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 informationAssessing the tests, homework & projects
Volume 4, Issue 4, April 2014 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com A Study of E-Learning
More informationFile. Sharing. File. sharing
ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: P2P Video Delivery with SURFNET For Fast Search Prof. Anuja Zade
More informationREVIEW PAPER ON PERFORMANCE OF RESTFUL WEB SERVICES
REVIEW PAPER ON PERFORMANCE OF RESTFUL WEB SERVICES Miss.Monali K.Narse 1,Chaitali S.Suratkar 2, Isha M.Shirbhate 3 1 B.E, I.T, JDIET, Yavatmal, Maharashtra, India, monalinarse9990@gmail.com 2 Assistant
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 informationEfficient Qos Based Resource Scheduling Using PAPRIKA Method for Cloud Computing
Efficient Qos Based Resource Scheduling Using PAPRIKA Method for Cloud Computing Hilda Lawrance* Post Graduate Scholar Department of Information Technology, Karunya University Coimbatore, Tamilnadu, India
More informationVolume 3, Issue 6, June 2015 International Journal of Advance Research in Computer Science and Management Studies
Volume 3, Issue 6, June 2015 International Journal of Advance Research in Computer Science and Management Studies Research Article / Survey Paper / Case Study Available online at: www.ijarcsms.com Image
More informationAn Architecture Model of Sensor Information System Based on Cloud Computing
An Architecture Model of Sensor Information System Based on Cloud Computing Pengfei You, Yuxing Peng National Key Laboratory for Parallel and Distributed Processing, School of Computer Science, National
More informationA Review on Leaders in Cloud Computing Service Providers and Cloud SQL a Case Study
Research Journal of Applied Sciences, Engineering and Technology 4(17): 2926-2933, 2012 ISSN: 2040-7467 Maxwell Scientific Organization, 2012 Submitted: December 16, 2011 Accepted: January 13, 2012 Published:
More informationHow To Balance In Cloud Computing
A Review on Load Balancing Algorithms in Cloud Hareesh M J Dept. of CSE, RSET, Kochi hareeshmjoseph@ gmail.com John P Martin Dept. of CSE, RSET, Kochi johnpm12@gmail.com Yedhu Sastri Dept. of IT, RSET,
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 informationDoS: Attack and Defense
DoS: Attack and Defense Vincent Tai Sayantan Sengupta COEN 233 Term Project Prof. M. Wang 1 Table of Contents 1. Introduction 4 1.1. Objective 1.2. Problem 1.3. Relation to the class 1.4. Other approaches
More informationA Comparative Study of cloud and mcloud Computing
A Comparative Study of cloud and mcloud Computing Ms.S.Gowri* Ms.S.Latha* Ms.A.Nirmala Devi* * Department of Computer Science, K.S.Rangasamy College of Arts and Science, Tiruchengode. s.gowri@ksrcas.edu
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 informationRESOURCE MANAGEMENT IN CLOUD COMPUTING ENVIRONMENT
RESOURCE MANAGEMENT IN CLOUD COMPUTING ENVIRONMENT A.Chermaraj 1, Dr.P.Marikkannu 2 1 PG Scholar, 2 Assistant Professor, Department of IT, Anna University Regional Centre Coimbatore, Tamilnadu (India)
More informationHeterogeneous Workload Consolidation for Efficient Management of Data Centers in Cloud Computing
Heterogeneous Workload Consolidation for Efficient Management of Data Centers in Cloud Computing Deep Mann ME (Software Engineering) Computer Science and Engineering Department Thapar University Patiala-147004
More informationResearch and Improvement on A Lightweight VOD Cloud Storage Engine
Journal of Computational Information Systems 8: 2 (2012) 683 694 Available at http://www.jofcis.com Research and Improvement on A Lightweight VOD Cloud Storage Engine Chang SHU, Xingming ZHANG School of
More informationIntroduction: Why do we need computer networks?
Introduction: Why do we need computer networks? Karin A. Hummel - Adapted slides of Prof. B. Plattner, plattner@tik.ee.ethz.ch - Add-on material included of Peterson, Davie: Computer Networks February
More informationObject Request Reduction in Home Nodes and Load Balancing of Object Request in Hybrid Decentralized Web Caching
2012 2 nd International Conference on Information Communication and Management (ICICM 2012) IPCSIT vol. 55 (2012) (2012) IACSIT Press, Singapore DOI: 10.7763/IPCSIT.2012.V55.5 Object Request Reduction
More informationA Slow-sTart Exponential and Linear Algorithm for Energy Saving in Wireless Networks
1 A Slow-sTart Exponential and Linear Algorithm for Energy Saving in Wireless Networks Yang Song, Bogdan Ciubotaru, Member, IEEE, and Gabriel-Miro Muntean, Member, IEEE Abstract Limited battery capacity
More informationCloud 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 informationA Survey Study on Monitoring Service for Grid
A Survey Study on Monitoring Service for Grid Erkang You erkyou@indiana.edu ABSTRACT Grid is a distributed system that integrates heterogeneous systems into a single transparent computer, aiming to provide
More informationNew Cloud Computing Network Architecture Directed At Multimedia
2012 2 nd International Conference on Information Communication and Management (ICICM 2012) IPCSIT vol. 55 (2012) (2012) IACSIT Press, Singapore DOI: 10.7763/IPCSIT.2012.V55.16 New Cloud Computing Network
More informationRole of Cloud Computing in Big Data Analytics Using MapReduce Component of Hadoop
Role of Cloud Computing in Big Data Analytics Using MapReduce Component of Hadoop Kanchan A. Khedikar Department of Computer Science & Engineering Walchand Institute of Technoloy, Solapur, Maharashtra,
More informationCLOUDDMSS: CLOUD-BASED DISTRIBUTED MULTIMEDIA STREAMING SERVICE SYSTEM FOR HETEROGENEOUS DEVICES
CLOUDDMSS: CLOUD-BASED DISTRIBUTED MULTIMEDIA STREAMING SERVICE SYSTEM FOR HETEROGENEOUS DEVICES 1 MYOUNGJIN KIM, 2 CUI YUN, 3 SEUNGHO HAN, 4 HANKU LEE 1,2,3,4 Department of Internet & Multimedia Engineering,
More informationABC s OF CLOUD COMPUTING
ABC s OF CLOUD COMPUTING All about Cloud Computing Because it works better Can Cloud Computing help my business? ALL ABOUT CLOUD COMPUTING Cloud Computing is a new technology development based on an existing
More informationCLOUD COMPUTING USABILITY IN MOBILE COMMUNICATION NETWORK
BEST: International Journal of Management, Information Technology and Engineering (BEST: IJMITE) ISSN 2348-0513 Vol. 2, Issue 3, Mar 2014, 105-110 BEST Journals CLOUD COMPUTING USABILITY IN MOBILE COMMUNICATION
More informationSCHEDULING IN CLOUD COMPUTING
SCHEDULING IN CLOUD COMPUTING Lipsa Tripathy, Rasmi Ranjan Patra CSA,CPGS,OUAT,Bhubaneswar,Odisha Abstract Cloud computing is an emerging technology. It process huge amount of data so scheduling mechanism
More informationAuthentication. Authorization. Access Control. Cloud Security Concerns. Trust. Data Integrity. Unsecure Communication
Volume 4, Issue 6, June 2014 ISSN: 2277 128X International Journal of Advanced Research in Computer Science and Software Engineering Research Paper Available online at: www.ijarcsse.com A Three Layered
More informationOCRP 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 informationCHAPTER 7 SUMMARY AND CONCLUSION
179 CHAPTER 7 SUMMARY AND CONCLUSION This chapter summarizes our research achievements and conclude this thesis with discussions and interesting avenues for future exploration. The thesis describes a novel
More informationOverview of Offloading in Smart Mobile Devices for Mobile Cloud Computing
Overview of Offloading in Smart Mobile Devices for Mobile Cloud Computing Roopali, Rajkumari Dep t of IT, UIET, PU Chandigarh, India Abstract- The recent advancement in cloud computing is leading to an
More informationWeb Application Hosting Cloud Architecture
Web Application Hosting Cloud Architecture Executive Overview This paper describes vendor neutral best practices for hosting web applications using cloud computing. The architectural elements described
More informationINTRODUCTION TO CLOUD COMPUTING CEN483 PARALLEL AND DISTRIBUTED SYSTEMS
INTRODUCTION TO CLOUD COMPUTING CEN483 PARALLEL AND DISTRIBUTED SYSTEMS CLOUD COMPUTING Cloud computing is a model for enabling convenient, ondemand network access to a shared pool of configurable computing
More informationLOAD BALANCING AS A STRATEGY LEARNING TASK
LOAD BALANCING AS A STRATEGY LEARNING TASK 1 K.KUNGUMARAJ, 2 T.RAVICHANDRAN 1 Research Scholar, Karpagam University, Coimbatore 21. 2 Principal, Hindusthan Institute of Technology, Coimbatore 32. ABSTRACT
More informationPreamble: Remote Storage in Android Using SCTP
Preamble: Remote Storage in Android Using SCTP Mr. Nikhil Vijay Patil 1, Prof.Sandeep Khanna 2 1 M.E.Second Year Student, Padm.Dr.V.B.Kolte College of Engineering, Malkapur Dist.Buldhana (M.S.) India.
More informationRole of Cloud Computing in Education
Role of Cloud Computing in Education Kiran Yadav Assistant Professor, Dept. of Computer Science. Govt. College for Girls, Gurgaon, India ABSTRACT: Education plays an important role in maintaining the economic
More informationTCP/IP Network Communication in Physical Access Control
TCP/IP Network Communication in Physical Access Control The way it's done: The security industry has adopted many standards over time which have gone on to prove as solid foundations for product development
More informationSystem Models for Distributed and Cloud Computing
System Models for Distributed and Cloud Computing Dr. Sanjay P. Ahuja, Ph.D. 2010-14 FIS Distinguished Professor of Computer Science School of Computing, UNF Classification of Distributed Computing Systems
More informationCopyright IEEE. Citation for the published paper:
Copyright IEEE. Citation for the published paper: This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of BTH's products
More informationMove from traditional IT Solutions to Cloud Computing. Mauritius Telecom your partner for Cloud services
Move from traditional IT Solutions to Cloud Computing In today s global business arena, innovation is important for business growth. To innovate, your business depends on IT efficiency, reliability and
More informationA 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 informationHIGH-SPEED BRIDGE TO CLOUD STORAGE
HIGH-SPEED BRIDGE TO CLOUD STORAGE Addressing throughput bottlenecks with Signiant s SkyDrop 2 The heart of the Internet is a pulsing movement of data circulating among billions of devices worldwide between
More information