NDLI: A Cooperative Two-Tier Energy-Aware Scheduling for Real-Time Tasks in Computing Clouds

Content Provider	IEEE Xplore Digital Library
Author	Hosseinimotlagh, S. Khunjush, F. Hosseinimotlagh, S.
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. Sci., Eng. & IT, Shiraz Univ., Shiraz, Iran (Hosseinimotlagh, S.; Khunjush, F.; Hosseinimotlagh, S.)
Abstract	Customers in a cloud would like to receive the results of their task as soon as possible while paying less. On the other hand, cloud providers aim to mitigate the operational cost of cloud environments. In other words, a limited budget makes providers create efficient cloud systems that utilize the computational powers of the clouds while minimizing their energy consumptions and environmental footprints. One of the prevalent techniques in mitigating the total energy consumptions of data-centers is through using consolidation of virtual machines (VMs). However, it incurs significant overheads on both computing resources and network infrastructure of a cloud. Furthermore, it causes tasks to be accomplished later or even it might lead to System Level Agreement (SLA) violations. To address the aforementioned challenges, we propose a cooperative two-tier task scheduling approach to benefit both cloud providers and their customers. It regulates the execution speeds of real-time tasks in a way that a host reaches the optimum level of utilization instead of migrating its tasks to other hosts. We also propose several predictive global task scheduling policies to map arrived tasks to feasible VMs. The simulation results show that the proposed task scheduling approach not only reduces the total energy consumption of a cloud by 41%, but also has profound impacts on turnaround times of real-time tasks by 85%.
Sponsorship	IBM
Starting Page	178
Ending Page	182
File Size	318917
Page Count	5
File Format	PDF
ISBN	9781479927296
ISSN	10666192
DOI	10.1109/PDP.2014.91
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-02-12
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Energy consumption Cloud computing Prediction algorithms Dynamic scheduling Scheduling algorithms Real-time Tasks Task Scheduling SLA DVFS
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
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in