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Authors: Feifei Zhang ; Jidong Ge ; Zhongjin Li ; Chuanyi Li ; Zifeng Huang ; Li Kong and Bin Luo

Affiliation: Nanjing University, China

Keyword(s): Mobile Cloud Computing, Scientific Workflow, Genetic Algorithm, Task Offloading.

Abstract: Scientific applications are typically data-intensive, which feature complex DAG-structured workflows comprised of tasks with intricate inter-task dependencies. Mobile cloud computing (MCC) provides significant opportunities in enhancing computation capability and saving energy of smart mobile devices (SMDs) by offloading computation-intensive and data-intensive tasks from resource limited SMDs onto the resource-rich cloud. However, finding a proper way to assist SMDs in executing such applications remains a crucial concern. In this paper, we offer three entry points for the problem solving: first, a cost model based on the pay-as-you-go manner of IaaS Cloud is proposed; then, we investigate the problem of mapping strategy of scientific workflows to minimize the monetary cost and energy consumption of SMDs simultaneously under deadline constraints; furthermore, we consider dataset placement issue during the offloading and mapping process of the workflows. A genetic algorithm (GA) base d offloading method is proposed by carefully modifying parts of GA to suit the needs for the stated problem. Numerical results corroborate that the proposed algorithm can achieve near-optimal energy and monetary cost reduction with the application completion time and dataset placement constraint satisfied. (More)

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Paper citation in several formats:
Zhang, F.; Ge, J.; Li, Z.; Li, C.; Huang, Z.; Kong, L. and Luo, B. (2017). Task Offloading for Scientific Workflow Application in Mobile Cloud. In Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security - IoTBDS; ISBN 978-989-758-245-5; ISSN 2184-4976, SciTePress, pages 136-148. DOI: 10.5220/0006364501360148

@conference{iotbds17,
author={Feifei Zhang. and Jidong Ge. and Zhongjin Li. and Chuanyi Li. and Zifeng Huang. and Li Kong. and Bin Luo.},
title={Task Offloading for Scientific Workflow Application in Mobile Cloud},
booktitle={Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security - IoTBDS},
year={2017},
pages={136-148},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006364501360148},
isbn={978-989-758-245-5},
issn={2184-4976},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security - IoTBDS
TI - Task Offloading for Scientific Workflow Application in Mobile Cloud
SN - 978-989-758-245-5
IS - 2184-4976
AU - Zhang, F.
AU - Ge, J.
AU - Li, Z.
AU - Li, C.
AU - Huang, Z.
AU - Kong, L.
AU - Luo, B.
PY - 2017
SP - 136
EP - 148
DO - 10.5220/0006364501360148
PB - SciTePress