A System for Task Scheduling and Task Migration in Cloud Environment

Haimantee Mahato, Anjali Munjal, Shreya Chinchalikar
2014 IOSR Journal of Computer Engineering  
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
more » ... niques 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.
doi:10.9790/0661-1629115118 fatcat:mkak6masxrbrlf7v2moc5jkzxq