NDLI: Effective technique for allocating servers to support cloud using GPS and GIS

Content Provider	IEEE Xplore Digital Library
Author	Ismaeel, A.G.
Copyright Year	2013
Description	Author affiliation: Dept. of Inf. Syst. Eng., Hawler Polytech. Univ., Erbil, Iraq (Ismaeel, A.G.)
Abstract	Cloud must be provided services to customers in all circumstances with high quality because it associated with market's applications that cannot be delayed, postponed for another time, etc because that will lead to considerable material losses. Under the cloud there is group of servers (data centers) may work as distributed system (like Google Apps engine, Amazon, etc) these servers can support each other rapidly and effective cost at peak time, failure, backup, etc to offer continuously services to clients. A big problem appears when there is not idle server in the same data center, which has source server need the support, in this case need to decide any server from outside the data center site will allocate to that source server (which needed the support) in cloud rapidly with effective cost. This paper proposed a new technique for allocating servers to support cloud, i.e. determine the available servers which relatively have a higher idle (not busy) to support source servers using queue model at the same time employs GIS and GPS techniques via algorithm of Haversine equation to select the idle server which closer to satisfy lowest cost and reach the optimal throughput (performance). Implement and applying this proposed technique shows may not allocated the server which has the highest rate idle but may allocate the server with lowest rate idle to support the source server, and that will not cause a big difference/changing because all those idle servers in cloud are supercomputers with higher resources, reaching the aim of this new technique means an effective cost with optimal throughput when select the idle server (lowest busy relatively), which is closer to source server.
Starting Page	934
Ending Page	939
File Size	955992
Page Count	6
File Format	PDF
ISBN	9780989319300
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-07
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	The Science and Information Organization
Subject Keyword	Google Cloud Computing Computational modeling Steady State Queuing Model Haversine Equation Distributed databases Data center GPS and GIS Servers Mathematical model Resource management Equations
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
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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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