NDLI: Analyzing incoming workload in Cloud business services

Content Provider	IEEE Xplore Digital Library
Author	Tankovic, N. Bogunovic, N. Grbac, T.G. Zagar, M.
Copyright Year	2015
Description	Author affiliation: Fac. of Electr. Eng. & Comput., Univ. of Zagreb, Zagreb, Croatia (Bogunovic, N.; Zagar, M.) \|\| Superius d.o.o., Pula, Croatia (Tankovic, N.) \|\| Fac. of Eng., Univ. of Rijeka, Rijeka, Croatia (Grbac, T.G.)
Abstract	A recent trend, movement of software applications to Cloud, provides among numerous benefits, an important model for infrastructure cost reduction using the pay-as-you-go concept. In our experiments, we noticed that software distribution may significantly influence cost benefits achieved in Cloud. Software distribution optimization requires a continuous information influx on key metrics characterizing incoming workload. In this paper we propose a method for modeling workloads of business applications characterized by nonuniform distribution over the day. Two important properties are described: (1) modeling and forecasting repeatable patterns observed in the business context, and (2) modeling the inter-arrival time distribution of service requests. While former is important for constructing automated capacity planning controllers, latter is required for describing the amount of traffic variability. We analyzed these properties on a two-month workload collected from a production business services used by several thousand customers in retail domain in Croatia. Based on this analysis, we propose a high-level design of a quality of service controller applicable to business services in cloud environment.
Starting Page	300
Ending Page	304
File Size	381486
Page Count	5
File Format	PDF
ISBN	9789532900569
DOI	10.1109/SOFTCOM.2015.7314068
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-16
Publisher Place	Croatia
Access Restriction	Subscribed
Rights Holder	University of Split, FESB
Subject Keyword	Cloud computing Computational modeling Time series analysis Predictive models Forecasting Business
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
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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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