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94 results for “scheduling problem”
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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 abstractSIMULATED ANNEALING APPROACH TO COST-BASED MULTI- QUALITY OF SERVICE JOB SCHEDULING IN CLOUD COMPUTING ENVIROMENTMonir Abdullah, Mohamed OthmanCloud computing environments facilitate applications by providing visualized resources that can be provisioned dynamically. The advent of cloud computing as a new model of service provisioning in distributed systems, encourages researchers to investigate its benefits and drawbacks in executing scientific applications such as workflows. One of the fundamental issues in this environment is related to task scheduling. Cloud task scheduling … …American Journal of Applied Sciences, Vol. 11, Issue 6 · 18 Mar 2014 · 7,651 accessesView PDFCite
Research ArticleOpen accessIn the abstractA NEW-THRESHOLD BASED JOB SCHEDULING FOR GRID SYSTEML. RamaparvathyIn heterogeneous distributed systems, utility grids have emerged as a new model of service. In this service, workflow scheduling is one of the challenging problems for satisfying user’s quality requirements. One of the main issues in work flow scheduling is to minimize the workflow execution cost in terms of time and makespan. In this study, we propose a new workflow … …Journal of Computer Science, Vol. 10, Issue 6 · 3 Feb 2014 · 6,785 accessesView PDFCite
Research ArticleOpen accessIn the abstractQUANTITATIVE EVALUATION OF JOB AND RESOURCES FOR BETTER SELECTION TO IMPROVE MAKESPAN IN GRID SCHEDULINGKrishnamoorthy Natarajan, Asokan Ramasamy, Sangeetha SubramanianThis study presents the Priority based ranking of jobs and resources to improve the Makespan in the grid scheduling problem. Grid environment’s effectiveness largely depends on scheduler’s effectiveness/efficiency as they act as local resource brokers. The scheduler is responsible to select resources/scheduling jobs so that users/application requirements are met regarding overall execution time (throughput) and the resources use cost. The … …Journal of Computer Science, Vol. 10, Issue 5 · 4 Jan 2014 · 6,554 accessesView PDFCite
Research ArticleOpen accessIn the abstractAPPLICATION OF A FUZZY-SIMULATION MODEL OF SCHEDULING ROBOTIC FLEXIBLE ASSEMBLY CELLSKhalid Abd, Kazem Abhary, Romeo MarianThis study describes the application of the developed model to the scheduling of the Robotic Flexible Assembly Cells (RFACs). The present study is a continuation of the paper titled “Development of a Fuzzy-Simulation Model of Scheduling Robotic Flexible Assembly Cells”. This new model for multi-objective scheduling problems in RFACs was based on combining a fuzzy-based mathematical model with simulation software … …Journal of Computer Science, Vol. 9, Issue 12 · 25 Nov 2013 · 6,738 accessesView PDFCite
Research ArticleOpen accessIn the abstractDEVELOPMENT OF A FUZZY-SIMULATION MODEL OF SCHEDULING ROBOTIC FLEXIBLE ASSEMBLY CELLSKhalid Abd, Kazem Abhary, Romeo MarianDue to the complexity of scheduling flexible manufacturing systems, the generation of production schedules requires an intelligent technique. Many artificial intelligence techniques such as fuzzy logic, genetic algorithms and neural networks have been successfully applied to the scheduling of advanced manufacturing systems. One such system is Robotic Flexible Assembly Cells (RFACs). Few studies have addressed the problem of scheduling RFACs. … …Journal of Computer Science, Vol. 9, Issue 12 · 25 Nov 2013 · 6,791 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 abstractADAPTIVE RESOURCE CONTROL MECHANISM THROUGH REPUTATION-BASED SCHEDULING IN HETEROGENEOUS DISTRIBUTED SYSTEMSMasnida Hussin, Rohaya LatipThe service-oriented distributed systems such as Grids and Clouds are unified computing platform that connect and share heterogeneous resources including computation resource, storage resource, information resource and knowledge resource. While these systems provide a vast amount of computing power their reliability are often hard to be guaranteed. It is due to the increased complexity of processing (e.g., overhead, latency) that … …Journal of Computer Science, Vol. 9, Issue 12 · 25 Nov 2013 · 7,047 accessesView PDFCite
Research ArticleOpen accessIn the abstractCOMPARISON USING PARTICLE SWARM OPTIMIZATION AND GENETIC ALGORITHM FOR TIMETABLE SCHEDULINGDennise AdriantoLecturer timetable scheduling is an important part in the resource allocation planning. Due to the large amount of transactions and various related constraints have to be taken into account in timetable scheduling process, resource manager team shall need a lot of time to the solve the problem. This research is aimed to discuss the application of Particle Swarm Optimization (PSO) … …Journal of Computer Science, Vol. 10, Issue 2 · 20 Nov 2013 · 7,027 accessesView PDFCite
Research ArticleOpen accessIn the abstractFUZZY ROUND ROBIN CPU SCHEDULING ALGORITHMBashir AlamOne problem in Round Robin CPU Scheduling is that if the time required for the running process is slightly more than time quantum even by a fraction value, then process gets preempted and context switch occurs. This causes more waiting time for that process and more overheads due to unnecessary context switch. Another problem with RR scheduling is the value … …Journal of Computer Science, Vol. 9, Issue 8 · 9 Jul 2013 · 7,909 accessesView PDFCite