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11 articles for “Makespan and Cost”
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Research ArticleOpen accessIn the keywordsMCWDRL: 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 keywordsAdvanced Grasshopper Optimization Scheduling Algorithm (AGOSA) for Multi-Cloud EnvironmentsS. Gowri, A. SumathiThe multi-cloud scheduling problem refers to the challenging task of efficiently allocating and managing resources across multiple cloud environments, involving the optimization of task scheduling, resource allocation to minimize makespan, reduce resource costs, and handle the complexity of multi-cloud environments while making optimal scheduling decisions. To overcome this issue. The paper proposes a novel scheduling algorithm, the Advanced Grasshopper Optimization … …Journal of Computer Science, Vol. 21, Issue 10 · 24 Nov 2025 · 2,646 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCost 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 abstractHybrid Fog Resource Provisioning and Resource Allocation using MKFCM and FPANagarjun E, Dharamendra Chouhan, Dilip Kumar SMThe expansion of Internet of Things (IoT) deployments has motivated the Fog Computing (FC) paradigm, which brings mobile-edge and cloud resources together under a single model. Allocating and provisioning application tasks across such environments poses challenges due to constrained resource capabilities, heterogeneity, mobility, network hierarchy, and unpredictability. This paper addresses the need for additional computing devices that prioritize delay-sensitive applications … …Journal of Computer Science, Vol. 22, Issue 10 · 6 Oct 2026 · 462 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimized Cloud Load Balancing Using Deep Q-Learning With Inverted S-Shaped Hierarchical Reverse Superb Fairy-Wren OptimizationB. R. Yogeetha, S. P. AnandarajCloud computing offers a scalable and cost-effective platform by providing on-demand access to shared computational resources. However, effective load balancing is essential to maintain optimal performance and maximize resource utilization for ensuring even distribution of network traffic across servers, preventing overload, improving response time and enhancing the system reliability. This manuscript proposes the Deep Q-Network with Inverted S-shaped Hierarchical Reverse … …Journal of Computer Science, Vol. 22, Issue 6 · 4 Jun 2026 · 1,497 accessesView PDFCite
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 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 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 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