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21 results for “Makespan”
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Research ArticleOpen accessIn the abstractLocation-Aware Energy-Efficient Workload Allocation in Geo Distributed Cloud EnvironmentSoha Rawas, Ahmed ZekriThe proliferation of cloud computing relied on the virtualization of the compute and storage resources and provisioning them dynamically according to users’ needs on a pay-per-use model. Massive cloud providers have geo-distributed cloud data centers to ensure service reliability, availability and satisfy user’s need. Therefore, cloud management systems are necessary to increase the profit of cloud providers and to improve … …Journal of Computer Science, Vol. 14, Issue 3 · 13 Mar 2018 · 8,034 accessesView PDFCite
Research ArticleOpen accessIn the abstractRESOURCE BROKER MANAGEMENT BY ADOPTING SELF-ADAPTIVE MULTI-INSTANCE BROKER SCHEDULING IN GRID COMPUTINGBakri Yahaya, Rohaya Latip, Azizol Abdullah, Mohamed OthmanA grid resource broker seeks to assign the appropriate jobs to the appropriate resources as part of resource management in the multi-grid environment. Multi instances of the broker system provides multiple instances of brokers to simultaneously process jobs between multiple resources in a hierarchical cluster grid environment. In this study, the multi-instance broker is developed using grid resource broker taxonomy … …Journal of Computer Science, Vol. 10, Issue 12 · 29 Dec 2014 · 8,873 accessesView PDFCite
Research ArticleOpen accessIn the abstractIMPROVING FAULT TOLERANT RESOURCE OPTIMIZED AWARE JOB SCHEDULING FOR GRID COMPUTINGK. Nirmala Devi, A. TamilarasiWorkflow brokers of existing Grid Scheduling Systems are lack of cooperation mechanism which causes inefficient schedules of application distributed resources and it also worsens the utilization of various resources including network bandwidth and computational cycles. Furthermore considering the literature, all of these existing brokering systems primarily evolved around models of centralized hierarchical or client/server. In such models, vital responsibility such … …Journal of Computer Science, Vol. 10, Issue 5 · 4 Jan 2014 · 6,896 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Study of Scheduling Al-gorithms in Cloud Computing EnvironmentIsam Azawi MohialdeenAn essential requirement in cloud computing environment is scheduling the current jobs to be executed with the given constraints. The scheduler should order the jobs in a way where balance between improving the quality of services and at the same time maintaining the efficiency and fairness among the jobs. Thus, evaluating the performance of scheduling algorithms is crucial towards realizing … …Journal of Computer Science, Vol. 9, Issue 2 · 11 Apr 2013 · 7,206 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Efficient Fault Tolerant Scheduling Approach for Computational GridP. Keerthika, N. KasthuriGrid computing serves as an important technology to facilitate distributed computation computational grids solve large scale scientific problems using heterogeneous geographically distributed resources. Problems like dispatching and scheduling of tasks are considered as major issues in computational grid environment. The Grid Scheduler must select proper resources for executing the tasks with less response time. There are various reasons such as … …American Journal of Applied Sciences, Vol. 9, Issue 12 · 5 Jan 2013 · 6,995 accessesView PDFCite
Research ArticleOpen accessIn the abstractNovel Adaptive Job Scheduling Algorithm on Heterogeneous Grid ResourcesG. K. Kamalam, V. Murali BhaskaranGrid provides an infrastructure for sharing geographically distributed heterogeneous resources to process many applications and mainly used for solving scientific problems that requires more computation time. Problem statement: Grid is a dynamic environment, where the resources may join or leave the environment at any time and the jobs also arrives at different intervals of time. To meet the demands and … …American Journal of Applied Sciences, Vol. 9, Issue 8 · 6 Jul 2012 · 6,851 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Optimal Load Sharing Technique For Grid ComputingD. Ramesh, A. KrishnanProblem statement: Grid and Cloud Computing is the fast growing industry, in which the grid computing shares the resources in the organization in an effective manner. Resource sharing requires more optimized algorithmic structure, otherwise the waiting time and response time are increased and the resource utilization is reduced. Approach: In order to avoid such reduction in the performances of the … …American Journal of Applied Sciences, Vol. 9, Issue 7 · 29 May 2012 · 6,965 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntegration of Genetic Algorithm with Tabu Search for Job Shop Scheduling with Unordered Subsequence Exchange CrossoverR. Thamilselvan, P. BalasubramanieProblem statement: The problem of scheduling n jobs on m machines with each job having specific machine route has been researched over the decade. The Job Shop Scheduling (JSS) is one of the hardest combinatorial optimization problems. Each resource can process at most one job at a time. Approach: This study proposes a new approach to solve a Job Shop … …Journal of Computer Science, Vol. 8, Issue 5 · 24 Feb 2012 · 6,650 accessesView PDFCite
Research ArticleOpen accessIn the abstractImpatient Task Mapping in Elastic Cloud using Genetic AlgorithmNawfal A. Mehdi, Ali Mamat, Hamidah Ibrahim, Shamala K. SubramaniamProblem statement: Task scheduling is the main factor that determines the performance of any distributed system. Cloud computing comes with a paradigm of distributed datacenters. Each datacenter consists of physical machines that host virtual machines to execute customers’ tasks. Resources allocation on the cloud is different from other paradigms and the mapping algorithms need to be adapted to the new … …Journal of Computer Science, Vol. 7, Issue 6 · 14 Jun 2011 · 8,034 accessesView PDFCite
Research ArticleOpen accessIn the abstractLoad Allocation Model for Scheduling Divisible Data Grid ApplicationsMonir Abdullah, Mohamed Othman, Hamidah Ibrahim, Shamala SubramaniamProblem statement: In many data grid applications, data can be decomposed into multiple independent sub-datasets and distributed for parallel execution and analysis. Approach: This property had been successfully employed by using Divisible Load Theory (DLT), which had been proved as a powerful tool for modeling divisible load problems in data-intensive grid. Results: There were some scheduling models had been studied … …Journal of Computer Science, Vol. 5, Issue 10 · 31 Oct 2009 · 6,900 accessesView PDFCite