The On Cloud Computing, A Core And Challenging Issue Is Job Scheduling

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Abstract-- In cloud computing, a core and challenging issue is job scheduling. The job execution time in cloud environment is impossible to predict. Hence the scheduler must be dynamic. The execution of each job needs efficient and proper utilization of cloud resources so that the optimum performances of the cloud system may be achieved. In this paper we have analysed the various parallel job scheduling algorithms like Conservative Migration supported BackFilling (CMBF), Aggressive Migration supporting BackFilling (AMBF) and Improved Modified Backfill Algorithm (IMBA) to achieve QOS. The important issue to attain a high node utilization by maintaining the level of responsiveness of parallel jobs. Many of the existing parallel scheduling …show more content…

Various virtualized platform that helps user to accomplish their jobs with minimum response time and minimum completion time that are provided by cloud computing environment. There are three types of services in the cloud, they are Infrastructure as a Service (Iaas), Platform as a Service (Paas), Software as a service (SaaS). The characteristics of cloud computing are resources polling, elasticity, on demand services, broad network access and middleware capabilities from provider of delivering Iaas and Paas in the form of datacenter, above services provide by deployment models such as Public cloud, Private cloud, community cloud and hybrid cloud that are used by the cloud provider. Job Scheduling has the main goal to achieve a high performances computing and best system throughput. The important issues in scheduling are Priority of job because some jobs should be serviced earlier than other those jobs cannot wait for a long time in the system. Priority of jobs must be considered by a suitable job scheduling algorithm. To address this problem some of the priority of jobs scheduling algorithm must be considered. The role of Virtual Machine’s (VMs) is an important issue because, through virtualization technology, it makes the infrastructure of cloud computing to be scalable. Therefore the important issue is to develop on optimal scheduling of virtual machine. To improve the quality of services and maintaining the efficiency and fairness among the jobs the scheduler

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