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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…
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Keywords:
cost;
deadline constraint;
cost effective;
workflow scheduling ... See more keywords
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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…
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Keywords:
cloud computing;
whale optimizer;
optimizer workflow;
new whale ... See more keywords
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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…
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Keywords:
monte carlo;
carlo tree;
search;
tree search ... See more keywords
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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…
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Keywords:
objective workflow;
deep network;
workflow scheduling;
multi ... See more keywords
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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.…
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Keywords:
iaas cloud;
scientific workflow;
algorithm;
workflow scheduling ... See more keywords
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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…
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Keywords:
cloud fog;
fog environments;
multi swarm;
pso algorithm ... See more keywords
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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…
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Keywords:
multi objective;
objective workflow;
volatile resources;
scheduling volatile ... See more keywords
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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…
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Keywords:
optimization;
colony;
cloud workflow;
approach ... See more keywords
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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…
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Keywords:
deadline constrained;
constrained cost;
optimization;
cost ... See more keywords
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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…
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Keywords:
multi swarm;
multi;
evolution based;
workflow scheduling ... See more keywords
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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…
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Keywords:
problem;
cost;
task;
heterogeneous clouds ... See more keywords