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The cloud environment provides a cluster of interconnected virtualized systems which are progressively provisioned and recognized as pooled computing resources. The primary objective of job scheduling in cloud is to accomplish a framework that achieve foremost system throughput. The adequacy of cloud ...
In cloud computing, fair job scheduling is most important. We proposed a priority-based scheduling technique to ensure fair job scheduling. Finally, the open research questions raised in this article will create a path for the implementation of an effective job scheduling strategy....
关键词: 云计算; Hadoop 集群; 作业调度; 排队论; 反馈机制中图分类号: TP311文献标志码: A文章编号: 0253—987X(2014)07一0 077一0 6DynamicFeedbackJobSchedulingAlgorithminCloudComputingMALil,TANGShanchen92,WANGJin91,ZHAOAnxin3(1.SchoolofCommunicationandInfomation,Xi’anUniversityofScienceandTechn0109y,...
in cloud computing to meet data and communication needs for Internet of Things (IoT) devices. However, the vital challenges in this system are job scheduling, which is solved by examining the makespan, minimizing energy depletion and proper resource allocation. In this paper, we introduced a ...
The idea of cloud computing encourages the working of a simple computer to work together and form super computer. The scheduling of jobs in cloud environment is done by choosing the finest and most appropriate resource available for completion of jobs or to distribute computer equipments to jobs ...
The scheduling of massive multimedia flows is a complicated task in the mobile cloud environment. The goal of this paper is to propose a model for job-oriented resource scheduling in a mobile cloud computing environment. The workflow is allocated or scheduled to the process which gives the ...
One of the critical challenges facing the cloud computing industry today is to increase the profitability of cloud services. In this paper, we deal with the problem of scheduling parallelizable batch type jobs in commercial data centers to maximize cloud providers' profit. We propose a novel and ...
Job scheduling determines which job should go next, and task scheduling orders tasks in a job. In Hadoop MapReduce, the JT schedules both jobs and tasks, although job schedulers are pluggable, that is, not part of the JT code. Task schedulers, on the other hand, are integrated in the ...
An Efficient Multi Queue Job Scheduling for Cloud Computing Cloud computing is one of the well developing field in Computer Science and Information Technology. The efficient job scheduling increases the client satis... AV Karthick,E Ramaraj,RG Subramanian - Computing & Communication Technologies 被引...