Skip to Main Content
 

Global Search Box

 
 
 
 

Files

File List


Jamaliannasrabadi, Saba 2.pdf (1.49 MB)

ETD Abstract Container

Abstract Header

High Performance Computing as a Service in the Cloud Using Software-Defined Networking

Jamaliannasrabadi, Saba
http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1433963448

Abstract Details

2015, Master of Science (MS), Bowling Green State University, Computer Science.
Benefits of Cloud Computing (CC) such as scalability, reliability, and resource pooling have attracted scientists to deploy their High Performance Computing (HPC) applications on the Cloud. Nevertheless, HPC applications can face serious challenges on the cloud that could undermine the gained benefit, if care is not taken. This thesis targets to address the shortcomings of the Cloud for the HPC applications through a platform called HPC as a Service (HPCaaS). Further, a novel scheme is introduced to improve the performance of HPC task scheduling on the Cloud using the emerging technology of Software-Defined Networking (SDN). The research introduces “ASETS: A SDN-Empowered Task Scheduling System” as an elastic platform for scheduling HPC tasks on the cloud. In addition, a novel algorithm called SETSA is developed as part of the ASETS architecture to manage the scheduling task of the HPCaaS platform. The platform monitors the network bandwidths to take advantage of the changes when submitting tasks to the virtual machines. The experiments and benchmarking of HPC applications on the Cloud identified the virtualization overhead, cloud networking, and cloud multi-tenancy as the primary shortcomings of the cloud for HPC applications. A private Cloud Test Bed (CTB) was set up to evaluate the capabilities of ASETS and SETSA in addressing such problems. Subsequently, Amazon AWS public cloud was used to assess the scalability of the proposed systems. The obtained results of ASETS and SETSA on both private and public cloud indicate significant performance improvement of HPC applications can be achieved. Furthermore, the results suggest that proposed system is beneficial both to the cloud service providers and the users since ASETS performs better the degree of multi-tenancy increases. The thesis also proposes SETSAW (SETSA Window) as an improved version of SETSA algorism. Unlike other proposed solutions for HPCaaS which have either optimized the cloud to make it more HPC-friendly, or required adjusting HPC applications to make them more cloud-friendly, ASETS tends to provide a platform for existing cloud systems to improve the performance of HPC applications.
Hassan Rajaei, Ph.D (Advisor)
Robert Green, Ph.D (Committee Member)
Jong Kwan Lee, Ph.D (Committee Member)
87 p.
Computer Engineering; Computer Science; Technology
High Performance Computing; HPC; Cloud Computing; Scientific Computing; HPCaaS; Software Defined Networking; SDN; Cloud Networking; Virtualization

Recommended Citations

Citations

  • Jamaliannasrabadi, S. (2015). High Performance Computing as a Service in the Cloud Using Software-Defined Networking [Master's thesis, Bowling Green State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1433963448

    APA Style (7th edition)

  • Jamaliannasrabadi, Saba. High Performance Computing as a Service in the Cloud Using Software-Defined Networking. 2015. Bowling Green State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1433963448.

    MLA Style (8th edition)

  • Jamaliannasrabadi, Saba. "High Performance Computing as a Service in the Cloud Using Software-Defined Networking." Master's thesis, Bowling Green State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1433963448

    Chicago Manual of Style (17th edition)

bgsu1433963448
3,327
© 2015, all rights reserved.
This open access ETD is published by Bowling Green State University and OhioLINK.