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40 results for “Dynamic Scheduling”
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Research ArticleOpen accessIn the keywordsADAPTIVE 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 keywordsSelf-Adjustment Time Quantum in Round Robin Algorithm Depending on Burst Time of the Now Running ProcessesRami J. MatarnehProblem statement: The performance and efficiency of multitasking operating systems mainly depends on the used CPU scheduling algorithm where the CPU is one of the primary computer resources and as round robin scheduling algorithm is considered most widely used scheduling algorithms in this research a new proposed variant of this algorithm presented, discussed in detail, tested and verified. Approach: The … …American Journal of Applied Sciences, Vol. 6, Issue 10 · 31 Oct 2009 · 8,934 accessesView PDFCite
Research ArticleOpen accessIn the abstractMCWDRL: Multi-Cloud Workflow Scheduling Using Deep Reinforcement Learning and Improved Workflow Segmentation for Multi-Cloud EnvironmentsS. Gowri, A. SumathiThe rapid growth of cloud computing has led to complex workflow scheduling challenges in multi-cloud environments, where efficient resource utilization, minimized makespan, and reduced costs are paramount. Traditional scheduling algorithms often struggle to adapt to the dynamic nature of cloud resources and workflows, leading to suboptimal performance. To overcome this issue, the paper proposed a novel Multi-Cloud Workflow Scheduling using … …Journal of Computer Science, Vol. 22, Issue 6 · 1 Jul 2026 · 933 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Resource Allocation and Task Scheduling in a Cloud Computing Environment using Swarm IntelligencePanuganti Hanumantha Rao, Rajakumar Subramanian, Geetha SomanThe new age of network-based computing, known as "cloud computing," is characterized by the distribution and sharing of resources over a network. These resources are available to anyone through the Internet on a pay-per-use basis. Any service that anybody uses can generate massive amounts of data. Therefore, in this scenario, there will be a significant cost associated with transferring data … …Journal of Computer Science, Vol. 20, Issue 12 · 7 Nov 2024 · 4,716 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Assessment of CPU Scheduling Algorithms: A Scenario-Based Approach with FCFS, RR, and SJFOlaa Hajjar, Escelle Mekhallalati, Nada Annwty et al.This study presents an extensive examination of CPU scheduling algorithms, focusing on the First-Come, First-Served (FCFS), Round-Robin (RR), and Shortest-Job-First (SJF) strategies through a carefully designed scenario-based approach. By deploying a Java-based simulation to dynamically generate random process arrival and burst times, this study simulates a variety of operational conditions to test these scheduling algorithms’ adaptability and performance in environments … …Journal of Computer Science, Vol. 20, Issue 9 · 16 Jun 2024 · 9,091 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Simulator Based on Meta-Heuristic for FMS and AGV Systems Design and ControlSlim Ben Saoud, Amel Jaoua, Narjès Bellamine-Ben SaoudFlexible Manufacturing Systems (FMS) based on Automated Guided Vehicles (AGV) have emerged as highly competitive manufacturing technologies of the last decade. However, their design and control are complex tasks since the decision problems related to the different system parameters such as sizing and scheduling are usually shown as NP-hard. Nowadays, computer simulation is one of the most commonly used methods … …Journal of Computer Science, Vol. 1, Issue 1 · 1 Dec 2020 · 5,949 accessesView PDFCite
Research ArticleOpen accessIn the abstractFeasibility Analysis of Non-Preemptive Periodic Systems from Infeasibility PerspectiveNasro Min-AllahDue to simple implementation, non-preemptive scheduling has the advantage over preemptive counterpart when it comes to deployment of real-time systems. Accordingly, many feasibility techniques have been established to answer schedulability of the task set for non-preemptive case. The time complexity of exact condition for non-preemptive under dynamic priority assignment is of pseud-polynomial nature. Recently, efforts are made to decrease the … …Journal of Computer Science, Vol. 15, Issue 9 · 9 Sep 2019 · 7,617 accessesView PDFCite
Research ArticleOpen accessIn the abstractTask Scheduling in Real Time Systems with Energy Harvesting and Energy MinimizationArvind Kumar, Bashir AlamEnergy is a major concern in battery operated real time devices (e.g. sensor nodes situated in remote areas) as battery life is solely responsible for the functioning of such devices. For such systems to work continuously and successively a regular source of energy is required. The lifetime of such systems can be increased by reducing the energy consumption and increasing … …Journal of Computer Science, Vol. 14, Issue 8 · 15 Aug 2018 · 8,287 accessesView PDFCite
Research ArticleOpen accessIn the abstractCost Effective Expa-Max-Min Scientific Workflow Allocation and Load Balancing Strategy in Cloud ComputingJames Kok Konjaang, Fahrul Hakim Ayob, Abdullah MuhammedThe rise in demand for cloud resources (network, hardware and software) requires cost effective scientific workflow scheduling algorithm to reduce cost and balance load of all jobs evenly for a better system throughput. Getting multiple scientific workflows scheduled with a reduced makespan and cost in a dynamic cloud computing environment is an attractive research area which needs more attention. Scheduling … …Journal of Computer Science, Vol. 14, Issue 5 · 13 Jan 2018 · 8,585 accessesView PDFCite
Research ArticleOpen accessIn the abstractFramework for Enhancing the Performance of Data Intensive MPI based HPC applications on CloudAshwini Janagal Padmanabha, Sanjay Harogolige AdimurthyCloud computing is a new technology which is revolutionizing the current business model with pay-per-usage resource provisioning method. This model proves to be more profitable compared to traditional resource procurement and maintenance model. Data intensive High performance applications (HPC Application) handles large scale data sets on cluster/grid environment for enhanced performance. Most of these applications belong to the MPI category, … …Journal of Computer Science, Vol. 13, Issue 8 · 7 Aug 2017 · 7,253 accessesView PDFCite