2011
DOI: 10.1007/978-3-642-20539-2_10
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A Load-Balance Based Resource-Scheduling Algorithm under Cloud Computing Environment

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Cited by 26 publications
(9 citation statements)
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“…In this paper, depends on dynamic load balance the author has proposed a resource-scheduling algorithm. S.Cavic, Vesna, and E. Kuhn [18] author discussed in this paper about the advanced methods that develop speedily and their complication is a crucial concern. The promising way to cope with improved intricacy is to enlist a self-coordinating strategy.…”
Section: Literature Surveymentioning
confidence: 99%
“…In this paper, depends on dynamic load balance the author has proposed a resource-scheduling algorithm. S.Cavic, Vesna, and E. Kuhn [18] author discussed in this paper about the advanced methods that develop speedily and their complication is a crucial concern. The promising way to cope with improved intricacy is to enlist a self-coordinating strategy.…”
Section: Literature Surveymentioning
confidence: 99%
“…In the above figure , makespan time i.e. the total length of the schedule is displayed for the Hyper-Heuristic Scheduling Algorithm and Improved Hyper-Heuristic Scheduling Algorithm for the dataset taken [7,4,6,9] here 7 are the datacenters, 4 are brokers ,6 are virtual machines and 9 are cloudlets. In the above figure, comparison bar chart of makesapn time is displayed for HHSA and Improved HHSA for all the three datasets i.e.…”
Section: Problem Formulationmentioning
confidence: 99%
“…In the above figure, comparison bar chart of makesapn time is displayed for HHSA and Improved HHSA for all the three datasets i.e. [5,3,4,6] ; [6,4,7,10] and [7,4,6,9]. Table 1 shows the comparison of Improved Hyper-Heuristic Scheduling Algorithm with the Hyper-Heuristic Scheduling Algorithm in terms of least optimized makespan time , by taking dataset [5,6,7] of data centers, dataset [3,4,4] of brokers , dataset [4,7,6] of virtual machines and dataset [6,10,9] of jobs as inputs to virtual environment for solving job scheduling problem (JSP).…”
Section: Problem Formulationmentioning
confidence: 99%
“…For example, from the view of service types, cloud computing can be divided into infrastructure cloud, platform and application of cloud [2], and according to different service mode, cloud computing can be divided into public cloud, private cloud and hybrid cloud [3]. Although a variety of cloud computing have differences in the system structure and service mode, general cloud computing architecture still needs hardware layer, resource virtualization layer and service layer [4].…”
Section: Introductionmentioning
confidence: 99%