A System for Task Scheduling and Task Migration in Cloud Environment
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 2
Abstract
Abstract: Large scale data processing is increasingly common in cloud computing systems in recent years. In these systems, files are split into many small blocks and all blocks are replicated over several servers. To process files efficiently, each job is divided into many tasks and each task is allocated to a server to deals with a file block. If the current server is busy, then it migrates the small block of task to another free server. Task Scheduling and task migration are the techniques for increasing flexibility and scalability in cloud computing. These techniques are used to perform different goals like balancing and load sharing, reducing response time and improvement of Quality of Service. In this paper we expect the idealised system for task scheduling and migration in cloud environment in which an initial task will be just a chunk of programming code that will be converted into executable program
Authors and Affiliations
Haimantee Mahato, , Anjali Munjal, , Shreya Chinchalikar. Guided , Prof. S. C. Chaudhari
Keywords
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- EP ID EP142082
- DOI 10.9790/0661-1629115118
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