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113 articles for “scheduling algorithm”
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Research ArticleOpen accessEvery word in the titleThree Algorithms for Flexible Flow-shop SchedulingTzung-Pei Hong, Pei-Ying Huang, Gwoboa Horng, Chan-Lon WangScheduling is an important process widely used in manufacturing, production, management, computer science, and so on. Appropriate scheduling can reduce material handling costs and time. Finding good schedules for given sets of jobs can thus help factory supervisors effectively control job flows and provide solutions for job sequencing. In simple flow shop problems, each machine operation center includes just one … …American Journal of Applied Sciences, Vol. 4, Issue 11 · 30 Nov 2007 · 6,969 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCOMPARISON 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 accessEvery word in the titleScheduling of Automated Guided Vehicle and Flexible Jobshop using Jumping Genes Genetic AlgorithmP. Paul Pandian, S. Saravana Sankar, S. G. Ponnambalam, M. Victor RajProblem statement: Now a day’s many researchers try Genetic algorithm based optimization to find near optimal solution for flexible job shop. It is a global search. In Our study in the GA, some changes are made to search locally and globally by adding jumping genes operation. A typical flexible job shop model is considered for this research study. For that … …American Journal of Applied Sciences, Vol. 9, Issue 10 · 25 Aug 2012 · 7,306 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEnhancing Electric Vehicle Charging Demand Prediction Using a Novel SAE-DNN Neural Network Model for Probabilistic ForecastingNaga Raju Hari Manikyam, A. Thangam, J. Murugachandravel et al.The rapid growth and widespread adoption of Electric Vehicles (EVs) play a crucial role in the progress of intelligent transportation systems, resulting in a significant decrease in environmentally damaging greenhouse gas emissions. The increase in EV usage has made it crucial to develop charging infrastructure to keep up with the growing demand. Precisely predicting EV charging demand is crucial to … …Journal of Computer Science, Vol. 21, Issue 10 · 11 Dec 2025 · 3,536 accessesView PDFCite
Research ArticleOpen accessIn the keywordsApplication of Viral System Algorithm in Load Balancing of Cloud EnvironmentDamodar Tiwari, Shailendra Singh, Sanjeev SharmaAs the cloud computing technology is gaining popularity with time, more and more users and applications are shifting towards it. This is why clouds are experiencing high load, which demands for load balancing of user tasks submitted to cloud for execution. This makes load balancing of non-preemptive tasks a key issue in cloud computing. Superior task scheduling leads to balanced … …Journal of Computer Science, Vol. 14, Issue 7 · 14 Jul 2018 · 8,406 accessesView PDFCite
Research ArticleOpen accessIn the keywordsScheduling Strategies in Cloud Computing: Methods and ImplementationsAida Abou-Elseoud Nasr, Sheren Ahmed ElboozA Cloud computing allows to users to get computing resources and services over the internet in the form of an on-demand service using virtualization technology. While cloud resources are built in different locations so they need new strategies to manage the running of them. These strategies may contain more than one algorithm. In cloud computing system, scheduling system is the … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 2 · 4 Apr 2018 · 8,795 accessesView PDFCite
Research ArticleOpen accessIn the keywordsComparative 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 keywordsA Genetic Based Neuro Fuzzy Technique for Process Grain Sized Scheduling of Parallel JobsSadasivam Vijayakumar Sudha, Keppanagowder ThanushkodiProblem statement: In this study, we present the development of genetic algorithm based neuro fuzzy technique for process grain sized in scheduling of parallel jobs with the help of real lIfe workload data. Approach: The study uses the rule based scheduling strategy for the scheduling and classIfies all possible scheduling strategies. The rule bases are developed with the help of … …Journal of Computer Science, Vol. 8, Issue 1 · 26 Oct 2011 · 7,339 accessesView PDFCite
Research ArticleOpen accessIn the keywordsImpatient 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 keywordsPerformance Analysis of Resource Selection Algorithms in Grid Computing EnvironmentMalarvizhi Nandagopal, Rhymend UthariarajProblem statement: Meta- scheduling has become important due to increased number of jobs and resources in the area of grid computing to achieve the objectives of grid users and grid resources. Approach: A variety of factors need to be considered for effective scheduling of resources in such environments such as total time job spend in the grid system, global and … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 6,899 accessesView PDFCite