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Pregled bibliografske jedinice broj: 784749

Analyzing Incoming Workload in Cloud Business Services

Tanković, Nikola; Bogunović, Nikola; Galinac Grbac, Tihana; Žagar, Mario
Analyzing Incoming Workload in Cloud Business Services // Software, Telecommunications and Computer Networks (SoftCOM), 2015 23rd International Conference on / Rožić, Nikola ; Begušić, Dinko ; Šarić, Matko ; Šolić, Petar (ur.).
Split: Institute of Electrical and Electronics Engineers (IEEE), 2015. str. 300-304 doi:10.1109/SOFTCOM.2015.7314068 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

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Naslov
Analyzing Incoming Workload in Cloud Business Services

Autori
Tanković, Nikola ; Bogunović, Nikola ; Galinac Grbac, Tihana ; Žagar, Mario

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Software, Telecommunications and Computer Networks (SoftCOM), 2015 23rd International Conference on / Rožić, Nikola ; Begušić, Dinko ; Šarić, Matko ; Šolić, Petar - Split : Institute of Electrical and Electronics Engineers (IEEE), 2015, 300-304

Skup
2015 23rd International Conference on Software, Telecommunications and Computer Networks (SoftCOM)

Mjesto i datum
Split, Hrvatska, 16.09.2015. - 18.09.2015

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Cloud Computing ; Incoming Workload ; Software-as-a-Service

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb,
Sveučilište Jurja Dobrile u Puli

Profili:

Avatar Url Nikola Bogunović (autor)

Avatar Url Mario Žagar (autor)

Avatar Url Nikola Tanković (autor)

Avatar Url Tihana Galinac Grbac (autor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada doi

Citiraj ovu publikaciju:

Tanković, Nikola; Bogunović, Nikola; Galinac Grbac, Tihana; Žagar, Mario
Analyzing Incoming Workload in Cloud Business Services // Software, Telecommunications and Computer Networks (SoftCOM), 2015 23rd International Conference on / Rožić, Nikola ; Begušić, Dinko ; Šarić, Matko ; Šolić, Petar (ur.).
Split: Institute of Electrical and Electronics Engineers (IEEE), 2015. str. 300-304 doi:10.1109/SOFTCOM.2015.7314068 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Tanković, N., Bogunović, N., Galinac Grbac, T. & Žagar, M. (2015) Analyzing Incoming Workload in Cloud Business Services. U: Rožić, N., Begušić, D., Šarić, M. & Šolić, P. (ur.)Software, Telecommunications and Computer Networks (SoftCOM), 2015 23rd International Conference on doi:10.1109/SOFTCOM.2015.7314068.
@article{article, author = {Tankovi\'{c}, Nikola and Bogunovi\'{c}, Nikola and Galinac Grbac, Tihana and \v{Z}agar, Mario}, year = {2015}, pages = {300-304}, DOI = {10.1109/SOFTCOM.2015.7314068}, keywords = {Cloud Computing, Incoming Workload, Software-as-a-Service}, doi = {10.1109/SOFTCOM.2015.7314068}, title = {Analyzing Incoming Workload in Cloud Business Services}, keyword = {Cloud Computing, Incoming Workload, Software-as-a-Service}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {Split, Hrvatska} }
@article{article, author = {Tankovi\'{c}, Nikola and Bogunovi\'{c}, Nikola and Galinac Grbac, Tihana and \v{Z}agar, Mario}, year = {2015}, pages = {300-304}, DOI = {10.1109/SOFTCOM.2015.7314068}, keywords = {Cloud Computing, Incoming Workload, Software-as-a-Service}, doi = {10.1109/SOFTCOM.2015.7314068}, title = {Analyzing Incoming Workload in Cloud Business Services}, keyword = {Cloud Computing, Incoming Workload, Software-as-a-Service}, publisher = {Institute of Electrical and Electronics Engineers (IEEE)}, publisherplace = {Split, Hrvatska} }

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