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A survey of cloud resource management for complex engineering applications

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Abstract

Traditionally, complex engineering applications (CEAs), which consist of numerous components (software) and require a large amount of computing resources, usually run in dedicated clusters or high performance computing (HPC) centers. Nowadays, Cloud computing system with the ability of providing massive computing resources and customizable execution environment is becoming an attractive option for CEAs. As a new type on Cloud applications, CEA also brings the challenges of dealing with Cloud resources. In this paper, we provide a comprehensive survey of Cloud resource management research for CEAs. The survey puts forward two important questions: 1) what are the main challenges for CEAs to run in Clouds? and 2) what are the prior research topics addressing these challenges? We summarize and highlight the main challenges and prior research topics. Our work can be probably helpful to those scientists and engineers who are interested in running CEAs in Cloud environment.

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Authors and Affiliations

  1. Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China

    Haibao Chen, Song Wu & Hai Jin

  2. Institute of High Performance Computing, Tsinghua University, Beijing, 100084, China

    Wenguang Chen & Jidong Zhai

  3. School of Electronics Engineering and Computer Science, Peking University, Beijing, 100871, China

    Yingwei Luo & Xiaolin Wang

  4. School of Computer and Information Engineering, Chuzhou University, Chuzhou, 239000, China

    Haibao Chen

Authors
  1. Haibao Chen
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  2. Song Wu
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  3. Hai Jin
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  4. Wenguang Chen
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  5. Jidong Zhai
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  6. Yingwei Luo
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  7. Xiaolin Wang
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Correspondence to Song Wu.

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Haibao Chen is currently working toward the PhD degree in Service Computing Technology and System Lab (SCTS) and Cluster and Grid Lab (CGCL) at Huazhong University of Science and Technology, China. He is also with the Big Data and Cloud Lab, School of Computer and information engineering, Chuzhou University, China. His research interests include parallel and distributed computing, virtualization, and resource scheduling on cloud computing.

Song Wu is a professor of computer science and engineering at Huazhong University of Science and Technology (HUST), China. He received his PhD from HUST in 2003. His current research interests include cloud computing, system virtualization, datacenter management, storage system, in-memory computing and so on.

Hai Jin received the PhD degree in computer engineering from Huazhong University of Science and Technology, China in 1994. He is the chief scientists of National 973 Basic Research Program Project of Virtualization Technology of Computing System, and Cloud Security. His research interests include computer architecture, virtualization technology, cluster computing and cloud computing, peerto- peer computing, network storage, and network security.

Wenguang Chen received the BS and PhD degrees in computer science from Tsinghua University, China in 1995 and 2000 respectively. He is a professor in Department of Computer Science and Technology, Tsinghua University. His research interest is in parallel and distributed computing, and programming model.

Jidong Zhai received his PhD degree from Tsinghua University, China in 2010. He is an assistant professor at the Department of Computer Science and Technology, Tsinghua University, China. His research focuses on high performance computing, especially performance analysis and optimization for large-scale parallel applications and performance evaluation for computer systems.

Yingwei Luo received his BS degree from Zhejiang University, China in 1993, and his MS and PhD degrees from Peking University, China in 1996 and 1999 respectively. He is currently a professor in Peking University, China. His research interests include virtualization technologies, distributed computing and geographic information system, etc.

Xiaolin Wang received his BS and PhD degrees from Peking University, China in 1996 and 2001 respectively. He is an associate professor in Peking University. His research interests include virtualization technologies, distributed computing and geographic information system, etc.

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Chen, H., Wu, S., Jin, H. et al. A survey of cloud resource management for complex engineering applications. Front. Comput. Sci. 10, 447–461 (2016). https://doi.org/10.1007/s11704-015-4207-x

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