Articles with "workflow scheduling" as a keyword



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Cost-effective workflow scheduling approach on cloud under deadline constraint using firefly algorithm

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Published in 2021 at "Applied Intelligence"

DOI: 10.1007/s10489-020-01875-1

Abstract: Cloud computing, a novel and promising methodology in the distributed computing domain, provides a pay-per-use framework to solve large-scale scientific and business workflow applications. These workflow applications have a constraint that each of them must… read more here.

Keywords: cost; deadline constraint; cost effective; workflow scheduling ... See more keywords
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A new whale optimizer for workflow scheduling in cloud computing environment

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Published in 2021 at "Journal of Ambient Intelligence and Humanized Computing"

DOI: 10.1007/s12652-020-01678-9

Abstract: Cloud computing environments enable real time applications on virtualized resources that can be provisioned dynamically. It is one of the efficient platform service which permits to enable the various applications based on cloud infrastructure. Nowadays… read more here.

Keywords: cloud computing; whale optimizer; optimizer workflow; new whale ... See more keywords
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An improved Monte Carlo Tree Search approach to workflow scheduling

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Published in 2022 at "Connection Science"

DOI: 10.1080/09540091.2022.2052265

Abstract: Workflow computing has become an essential part of many scientific and engineering fields, while workflow scheduling has long been a well-known NP-complete research problem. Major previous works can be classified into two categories: heuristic-based and… read more here.

Keywords: monte carlo; carlo tree; search; tree search ... See more keywords
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Multi-Objective Workflow Scheduling With Deep-Q-Network-Based Multi-Agent Reinforcement Learning

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Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2902846

Abstract: Cloud Computing provides an effective platform for executing large-scale and complex workflow applications with a pay-as-you-go model. Nevertheless, various challenges, especially its optimal scheduling for multiple conflicting objectives, are yet to be addressed properly. The… read more here.

Keywords: objective workflow; deep network; workflow scheduling; multi ... See more keywords
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A Hybrid Algorithm for Multi-Objective Scientific Workflow Scheduling in IaaS Cloud

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Published in 2019 at "IEEE Access"

DOI: 10.1109/access.2019.2939294

Abstract: With the increase in deployment of scientific workflow applications on an IaaS cloud computing environment, the distribution of workflow tasks to particular cloud instances to decrease runtime and cost has emerged as an important challenge.… read more here.

Keywords: iaas cloud; scientific workflow; algorithm; workflow scheduling ... See more keywords
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Multi-Swarm PSO Algorithm for Static Workflow Scheduling in Cloud-Fog Environments

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3220239

Abstract: Scientific workflow scheduling involves the allocation of workflow tasks to particular computational resources. The generation of optimal solutions to reduce run-time, cost, and energy consumption, as well as ensuring proper load balancing, remains a major… read more here.

Keywords: cloud fog; fog environments; multi swarm; pso algorithm ... See more keywords
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Evolutionary Multi-Objective Workflow Scheduling for Volatile Resources in the Cloud

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Published in 2022 at "IEEE Transactions on Cloud Computing"

DOI: 10.1109/tcc.2020.2993250

Abstract: The cloud has been widely used as a distributed computing platform for running scientific workflow applications. Most of the cloud providers encourage the use of their underutilized resources as spot instances for much cheaper prices… read more here.

Keywords: multi objective; objective workflow; volatile resources; scheduling volatile ... See more keywords
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Multiobjective Cloud Workflow Scheduling: A Multiple Populations Ant Colony System Approach

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Published in 2019 at "IEEE Transactions on Cybernetics"

DOI: 10.1109/tcyb.2018.2832640

Abstract: Cloud workflow scheduling is significantly challenging due to not only the large scale of workflow but also the elasticity and heterogeneity of cloud resources. Moreover, the pricing model of clouds makes the execution time and… read more here.

Keywords: optimization; colony; cloud workflow; approach ... See more keywords
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Deadline-Constrained Cost Optimization Approaches for Workflow Scheduling in Clouds

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Published in 2017 at "IEEE Transactions on Parallel and Distributed Systems"

DOI: 10.1109/tpds.2017.2735400

Abstract: Nowadays it is becoming more and more attractive to execute workflow applications in the cloud because it enables workflow applications to use computing resources on demand. Meanwhile, it also challenges traditional workflow scheduling algorithms that… read more here.

Keywords: deadline constrained; constrained cost; optimization; cost ... See more keywords
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Multi-Swarm Co-Evolution Based Hybrid Intelligent Optimization for Bi-Objective Multi-Workflow Scheduling in the Cloud

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Published in 2022 at "IEEE Transactions on Parallel and Distributed Systems"

DOI: 10.1109/tpds.2021.3122428

Abstract: Many scientific applications can be well modelled as large-scale workflows. Cloud computing has become a suitable platform for hosting and executing them. Workflow scheduling has gained much attention in recent years. However, since cloud service… read more here.

Keywords: multi swarm; multi; evolution based; workflow scheduling ... See more keywords
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Cost-Efficient Workflow Scheduling Algorithm for Applications With Deadline Constraint on Heterogeneous Clouds

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Published in 2022 at "IEEE Transactions on Parallel and Distributed Systems"

DOI: 10.1109/tpds.2021.3134247

Abstract: In recent years, more and more large-scale data processing and computing workflow applications run on heterogeneous clouds. Such cloud applications with precedence-constrained tasks are usually deadline-constrained and their scheduling is an essential problem faced by… read more here.

Keywords: problem; cost; task; heterogeneous clouds ... See more keywords