NDLI: A Strategy for Server Management to Improve Cloud Service QoS

Content Provider	IEEE Xplore Digital Library
Author	Binh Minh Nguyen Dang Tran Quynh Nguyen
Copyright Year	2015
Description	Author affiliation: Sch. of Inf. & Commun. Technol., Hanoi Univ. Sci. & Technol., Hanoi, Vietnam (Binh Minh Nguyen; Dang Tran; Quynh Nguyen)
Abstract	According to [1], cloud computing is one of ICT core areas in the next five years. The computing paradigm also is a research trend that has attracted strongly scientist community. Until now, there are many studies, which have focused on saving energy for servers in cloud systems. During the operation process of cloud data center, idle servers bring about power waste phenomenon. In order to overcome the problem, turning off idle servers is the popular solution applied in most researches. However, the turn on/off processes often affect significantly to quality of service (QoS) of cloud services because the server turning on always takes a long time and thus reduces the capability of quick response of services that run on these servers. In this paper, we present a strategy for effective server management. The strategy is developed based on a novel three-state model for physical servers belonging to cloud data centers. Our proposed model with an intermediate state will decrease the waiting service time for cloud appliances deployed on server machines. As a result, the approach will improve the cloud service QoS. We use CloudSim [2] to experiment and evaluate the solution. We also consider the power consumption of our model to examine its effectiveness.
Starting Page	120
Ending Page	127
File Size	306883
Page Count	8
File Format	PDF
ISSN	15506525
e-ISBN	9781467378222
DOI	10.1109/DS-RT.2015.14
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Servers Cloud computing Markov processes Data models Switches Mathematical model Quality of service saving energy cloud computing green computing queue theory Markov chain Cloud Sim
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

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