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Fault-Tolerant Scheduling for Scientific Workflow with Task Replication Method in Cloud

Topics: IaaS, PaaS and SaaS quality of service (QoS), security, reliability, availability, service bus mechanisms; IaaS, PaaS and SaaS, Big Data and Analytics demonstrations and Research Discussions from Computing Scientists, Business IS Academics and Industrial Consultants

Authors: Zhongjin Li 1 ; Jiacheng Yu 1 ; Haiyang Hu 1 ; Jie Chen 1 ; Hua Hu 1 ; Jidong Ge 2 and Victor Chang 3

Affiliations: 1 Hangzhou Dianzi University, China ; 2 Nanjing University, China ; 3 Xi'an Jiaotong-Liverpool University, China

Keyword(s): Cloud Computing, Fault-tolerant, Scientific Workflow Scheduling.

Abstract: Cloud computing has become a revolutionary paradigm by provisioning on-demand and low cost computing resources for customers. As a result, scientific workflow, which is the big data application, is increasingly prone to adopt cloud computing platforms. However, internal failure (host fault) is inevitable in such large distributed computing environment. It is also well studied that cloud data center will experience malicious attacks frequently. Hence, external failure (failure by malicious attack) should also be considered when scheduling scientific workflows. In this paper, a fault-tolerant scheduling (FTS) algorithm is proposed for scientific workflow in cloud computing environment, the aim of which is to minimize the workflow cost with the deadline constraint even in the presence of various failures. The FTS algorithm is based on tasks replication method which is one of the widely used fault tolerant mechanisms. The experimental results in terms of real-world scientific workflow ap plications demonstrate the effectiveness and practicality of our proposed algorithm. (More)

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Paper citation in several formats:
Li, Z.; Yu, J.; Hu, H.; Chen, J.; Hu, H.; Ge, J. and Chang, V. (2018). Fault-Tolerant Scheduling for Scientific Workflow with Task Replication Method in Cloud. In Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security - IoTBDS; ISBN 978-989-758-296-7; ISSN 2184-4976, SciTePress, pages 95-104. DOI: 10.5220/0006687300950104

@conference{iotbds18,
author={Zhongjin Li. and Jiacheng Yu. and Haiyang Hu. and Jie Chen. and Hua Hu. and Jidong Ge. and Victor Chang.},
title={Fault-Tolerant Scheduling for Scientific Workflow with Task Replication Method in Cloud},
booktitle={Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security - IoTBDS},
year={2018},
pages={95-104},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006687300950104},
isbn={978-989-758-296-7},
issn={2184-4976},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security - IoTBDS
TI - Fault-Tolerant Scheduling for Scientific Workflow with Task Replication Method in Cloud
SN - 978-989-758-296-7
IS - 2184-4976
AU - Li, Z.
AU - Yu, J.
AU - Hu, H.
AU - Chen, J.
AU - Hu, H.
AU - Ge, J.
AU - Chang, V.
PY - 2018
SP - 95
EP - 104
DO - 10.5220/0006687300950104
PB - SciTePress

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