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Challenges and Opportunities in High Performance Cloud Computing

Challenges and Opportunities in High Performance Cloud Computing

Manoj Himmatrao Devare
ISBN13: 9781799853398|ISBN10: 179985339X|EISBN13: 9781799853404
DOI: 10.4018/978-1-7998-5339-8.ch096
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MLA

Devare, Manoj Himmatrao. "Challenges and Opportunities in High Performance Cloud Computing." Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing, edited by Information Resources Management Association, IGI Global, 2021, pp. 1989-2018. https://doi.org/10.4018/978-1-7998-5339-8.ch096

APA

Devare, M. H. (2021). Challenges and Opportunities in High Performance Cloud Computing. In I. Management Association (Ed.), Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing (pp. 1989-2018). IGI Global. https://doi.org/10.4018/978-1-7998-5339-8.ch096

Chicago

Devare, Manoj Himmatrao. "Challenges and Opportunities in High Performance Cloud Computing." In Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing, edited by Information Resources Management Association, 1989-2018. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-5339-8.ch096

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Abstract

The scientist, engineers, and researchers highly need the high-performance computing (HPC) services for executing the energy, engineering, environmental sciences, weather, and life science simulations. The virtual machine (VM) or docker-enabled HPC Cloud service provides the advantages of consolidation and support for multiple users in public cloud environment. Adding the hypervisor on the top of bare metal hardware brings few challenges like the overhead of computation due to virtualization, especially in HPC environment. This chapter discusses the challenges, solutions, and opportunities due to input-output, VMM overheads, interconnection overheads, VM migration problems, and scalability problems in HPC Cloud. This chapter portrays HPC Cloud as highly complex distributed environment consisting of the heterogeneous types of architectures consisting of the different processor architectures, inter-connectivity techniques, the problems of the shared memory, distributed memory, and hybrid architectures in distributed computing like resilience, scalability, check-pointing, and fault tolerance.

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