A Hybrid Task Scheduling Algorithm for Efficient Task Management in Multi-cloud Environment

Roy, Asmita; Midya, Sadip; Hazra, Debojyoti; Majumder, Koushik; Phadikar, Santanu

doi:10.1007/978-981-13-1544-2_5

Cited by 3 publications

(2 citation statements)

References 12 publications

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“…Roy et al [105] believed that the multi-cloud environment was more suitable for solving largescale tasks. The author takes the reduction of the maximum completion time and the delay as the optimization objectives.…”

Section: Independent Task Scheduling Methodsmentioning

confidence: 99%

“…10. Journal of Network and Computer Applications [129] Information Systems Frontiers 2018 Springer [103,104] Arabian Journal for Science and Engineering [105] Advances in Intelligent Systems and Computing [110,132] Journal of Supercomputing Springer [107] Cluster Computing-The Journal of Networks Software Tools and Applications 2019 [109] Information Systems Frontiers [133,134] IEEE ACCESS 2020 IEEE [116] Soft Computing Springer [118] DISTRIBUTED AND PARALLEL DATABASES [138] Journal of Ambient Intelligence and Humanized Computing [136] Journal of Supercomputing 2021 [117] IEEE-CAA Journal of Automatica Sinica IEEE [120] IEEE Internet of Things Journal [135] IEEE Transactions on Cloud Computing [137] Journal of Tongji University Tongji University [121] Computer Networks Elsevier GLOBECOM 2019 IEEE [112] NOMS 2020-2020 IEEE/IFIP Network Operations and Management Symposium [114] 2020 International Multi-Conference on: Organization of Knowledge and Advanced Technologies (OCTA) 2020 IEEE [113] ICONIP 2020 Springer [115] HIS 2020 [119] ICACCS 2021 2021 IEEE In order to facilitate readers to have a more intuitive view of the source of the reference mentioned above. We classify the literatures analyzed in Table 5 according to their publishers.…”

Section: Summary and Classificationmentioning

confidence: 99%

See 1 more Smart Citation

Survey on Task Scheduling Optimization Strategy under Multi-Cloud Environment

Zhang¹,

Geng²,

Cai³

2023

Computer Modeling in Engineering &Amp; Sciences

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Cloud computing technology is favored by users because of its strong computing power and convenient services. At the same time, scheduling performance has an extremely efficient impact on promoting carbon neutrality. Currently, scheduling research in the multi-cloud environment aims to address the challenges brought by business demands to cloud data centers during peak hours. Therefore, the scheduling problem has promising application prospects under the multi-cloud environment. This paper points out that the currently studied scheduling problems in the multi-cloud environment mainly include independent task scheduling and workflow task scheduling based on the dependencies between tasks. This paper reviews the concepts, types, objectives, advantages, challenges, and research status of task scheduling in the multi-cloud environment. Task scheduling strategies proposed in the existing related references are analyzed, discussed, and summarized, including research motivation, optimization algorithm, and related objectives. Finally, the research status of the two kinds of task scheduling is compared, and several future important research directions of multi-cloud task scheduling are proposed.

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Section: Independent Task Scheduling Methodsmentioning

confidence: 99%