NDLI: Data-Intensive HPC Tasks Scheduling with SDN to Enable HPC-as-a-Service

Content Provider	IEEE Xplore Digital Library
Author	Jamalian, S. Rajaei, H.
Copyright Year	2015
Description	Author affiliation: Dept. of Comput. Sci., Bowling Green State Univ., Bowling Green, OH, USA (Jamalian, S.; Rajaei, H.)
Abstract	Advances in Cloud Computing attracted scientists to deploy their HPC applications to the cloud to benefit from the flexibility of the platform such as scalability and on-demand services. Nevertheless, HPC programs can face serious challenges in the cloud that could undermine the gained benefits. This paper first compares the performance of several HPC benchmarks on a commodity cluster and Amazon public cloud to illustrate the confronted challenges. To mitigate the problem, we have introduced a novel approach called ASETS, "A SDN Empowered Task Scheduling System", to schedule data-intensive High Performance Computing (HPC) tasks in a Cloud environment. In this paper, we focus on the implementation and performance analysis of ASETS and its first algorithm called SETSA, (SDN Empowered Task Scheduling Algorithm). ASETS uses the "bandwidth awareness" capability of SDN to better utilize the bandwidths when assigning tasks to virtual machines. This approach aims to improve the performance of HPC programs and provides an efficient HPC-as-a-Service (HPCaaS) platform. The paper briefly describes the architecture and the algorithm, and then focuses on the details of the implementation and performance analysis of ASETS and SETSA. Preliminary results indicate that ASETS delivers substantial performance improvement for HPCaaS as the degree of multi-tenancy increases. This result is significant since it indicates both the users and the cloud service providers can benefit from ASETS.
Starting Page	596
Ending Page	603
File Size	435031
Page Count	8
File Format	PDF
ISSN	21596190
e-ISBN	9781467372879
DOI	10.1109/CLOUD.2015.85
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cloud computing Scheduling algorithms Cloud Computing Software-Defined Netwokring Bandwidth Task Scheduling Benchmark testing Virtual machining HPCaaS Virtualization
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

ASETS: A SDN Empowered Task Scheduling System for HPCaaS on the Cloud

Data-Intensive HPC Tasks Scheduling with SDN to Enable HPC-as-a-Service

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