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40 articles for “Dynamic Scheduling”
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Research ArticleOpen accessIn the abstractScheduling Jobs through Gap Filling and Optimization Techniques in Computational GridOmar Dakkak, Shahrudin Awang Nor, Suki ArifDue to the heterogeneity and complexity in grid computing, classical algorithms may not be able to deal with dynamic jobs properly. In the dynamic mode, incoming jobs reach the scheduler arbitrary. Therefore, scheduling the jobs using simple policy alone deteriorates the performance of the scheduler. Thus, a policy that can handle the dynamicity efficiently is indispensable. This paper presents the … …Journal of Computer Science, Vol. 13, Issue 5 · 17 May 2017 · 7,418 accessesView PDFCite
Research ArticleOpen accessIn the abstractMULTI-LEVEL PRIORITY-BASED SCHEDULING MODEL IN HETEROGENEOUS CLOUDSiti Fajar Jalal, Masnida HussinCloud has emerged into another enhancement that manipulates the diversity of resources in order to expand the ability of Cloud facility. Cloud is no longer being seen as one-type service provider. The advantages of the heterogeneous Cloud give great benefits to the users and have business potential in service market. To cope with the dynamic nature of heterogeneous Cloud, the … …Journal of Computer Science, Vol. 10, Issue 12 · 5 Jan 2015 · 7,966 accessesView PDFCite
Research ArticleOpen accessIn the abstractStatic Batch Mode Heuristic Algorithm for Mapping Independent Tasks in Computational GridR. Vijayalakshmi, V. VasudevanGrid computing plays an important role in solving large-scale computational problems in a high performance computing environment. Scheduling of tasks to efficient and best suitable resource is one of the most challenging phase in grid computing systems. Grid environment reveals several challenges in efficient scheduling of complex applications because of its heterogeneity, dynamic behavior and shared resources. Scheduling of independent … …Journal of Computer Science, Vol. 11, Issue 1 · 22 Sep 2014 · 7,429 accessesView PDFCite
Research ArticleOpen accessIn the abstractLOW COMPLEXITY CONSTRAINTS FOR ENERGY AND PERFORMANCE MANAGEMENT OF HETEROGENEOUS MULTICORE PROCESSORS USING DYNAMIC OPTIMIZATIONA. S. Radhamani, E. BaburajOptimization in multicore processor environment is significant in real world dynamic applications, as it is crucial to find and track the change effectively over time, which requires an optimization algorithm. In massively parallel processing multicore processor architectures, like other population based metaheuristics Constraint based Bacterial Foraging Particle Swarm Optimization (CBFPSO) scheduling can be effectively implemented. In this study we discuss … …Journal of Computer Science, Vol. 10, Issue 8 · 3 Apr 2014 · 6,645 accessesView PDFCite
Research ArticleOpen accessIn the abstractA SURVEY: PARTICLE SWARM OPTIMIZATION-BASED ALGORITHMS FOR GRID COMPUTING SCHEDULING SYSTEMSFaruku Umar Ambursa, Rohaya LatipBio-inspired heuristics have been promising in solving complex scheduling optimization problems. Several researches have been conducted to tackle the problems of task scheduling for the heterogeneous and dynamic grid systems using different bio-inspired mechanisms such as Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO). PSO has been proven to have a relatively more promissing performance in dealing … …Journal of Computer Science, Vol. 9, Issue 12 · 25 Nov 2013 · 6,656 accessesView PDFCite
Research ArticleOpen accessIn the abstractMACHINE LEARNING APPROACHES IN IMPROVING SERVICE LEVEL AGREEMENT-BASED ADMISSION CONTROL FOR A SOFTWARE-AS-A-SERVICE PROVIDER IN CLOUDR. S. Mohana, P. ThangarajSoftware as a Service (SaaS) offers reliable access to software applications to the end users over the Internet without direct investment in infrastructure and software. SaaS providers utilize resources of internal data centres or rent resources from a public Infrastructure as a Service (IaaS) provider in order to serve their customers. Internal hosting can ample cost of administration and maintenance … …Journal of Computer Science, Vol. 9, Issue 10 · 5 Sep 2013 · 6,956 accessesView PDFCite
Research ArticleOpen accessIn the abstractINJECT AN ELASTIC GRID COMPUTING TECHNIQUES TO OPTIMAL RESOURCE MANAGEMENT TECHNIQUE OPERATIONSR. Surendran, B. Parvatha VarthiniEvaluation of sharing on the Internet well- developed from energetic technique of grid computing. Dynamic Grid Computing is Resource sharing in large level high performance computing networks at worldwide. Existing systems have a Limited innovation for resource management process. In proposed work, Grid Computing is an Internet based computing for Optimal Resource Management Technique Operations (ORMTO). ORMTO are Elastic scheduling … …Journal of Computer Science, Vol. 9, Issue 8 · 9 Jul 2013 · 6,736 accessesView PDFCite
Research ArticleOpen accessIn the abstractPriority Based Congestion Detection and Avoidance in Wireless Sensor NetworksR. Beulah Jayakumari, V. Jawahar SenthilkumarThe primary objective of event driven wireless sensor networks is to route the detected or monitored data at the earliest to the base station depending on their degree of priority since the data generated in a sensor network has different importance. In order to avoid indiscriminate dropping of data during congestion we propose a novel congestion protocol named priority based … …Journal of Computer Science, Vol. 9, Issue 3 · 26 Apr 2013 · 6,732 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 abstractA Dynamic Resource Allocation Method for Parallel DataProcessing in Cloud ComputingV. Venkatesa Kumar, S. PalaniswamiProblem statement: One of the Cloud Services, Infrastructure as a Service (IaaS) provides a Compute resourses for demand in various applications like Parallel Data processing. The computer resources offered in the cloud are extremely dynamic and probably heterogeneous. Nephele is the first data processing framework to explicitly exploit the dynamic resource allocation offered by today’s IaaS clouds for both, task … …Journal of Computer Science, Vol. 8, Issue 5 · 1 Mar 2012 · 7,422 accessesView PDFCite