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Authors: Dalia Kamal A. A. Rizk 1 ; Hoda M. Hosny 1 ; El-Sayed M. El-Horbaty 2 and Abdel-Badeeh M. Salem 2

Affiliations: 1 Faculty of Computer Science, The American University in Cairo, Egypt ; 2 Faculty of Computer & Info. Sciences, Ain Shams University, Egypt

Keyword(s): Task Scheduling, Cloud Computing, Grid Computing, Fog Computing, Workflow-based, Static Tasks, Makespan.

Abstract: Nowadays, task scheduling is the central point of attraction with respect to cloud computing. Retrieve, store, or compute /analyse data on the cloud are typical types of such tasks. Due to the huge amount of data that are found on the cloud and the need for deep analysis and heavy computation; the importance of task scheduling in an appropriate way for execution increases. In this paper, we present diverse types of algorithms for task scheduling on different environments namely: cloud, grid, and fog under the two widely known types of task representations (task-based and workflow-based).

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Paper citation in several formats:
Rizk, D.; Hosny, H.; El-Horbaty, E. and Salem, A. (2021). A Survey Study and Analysis of Task Scheduling Approaches for the Major Computing Environments. In Proceedings of the 17th International Conference on Web Information Systems and Technologies - WEBIST; ISBN 978-989-758-536-4; ISSN 2184-3252, SciTePress, pages 412-421. DOI: 10.5220/0010711300003058

@conference{webist21,
author={Dalia Kamal A. A. Rizk. and Hoda M. Hosny. and El{-}Sayed M. El{-}Horbaty. and Abdel{-}Badeeh M. Salem.},
title={A Survey Study and Analysis of Task Scheduling Approaches for the Major Computing Environments},
booktitle={Proceedings of the 17th International Conference on Web Information Systems and Technologies - WEBIST},
year={2021},
pages={412-421},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010711300003058},
isbn={978-989-758-536-4},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 17th International Conference on Web Information Systems and Technologies - WEBIST
TI - A Survey Study and Analysis of Task Scheduling Approaches for the Major Computing Environments
SN - 978-989-758-536-4
IS - 2184-3252
AU - Rizk, D.
AU - Hosny, H.
AU - El-Horbaty, E.
AU - Salem, A.
PY - 2021
SP - 412
EP - 421
DO - 10.5220/0010711300003058
PB - SciTePress

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