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Control strategies for predictable brownouts in cloud applications
Lund University.ORCID-id: 0000-0002-1143-1127
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.ORCID-id: 0000-0003-0106-3049
Lund University.
2014 (Engelska)Ingår i: IFAC PAPERSONLINE, 2014, Vol. 47, s. 689-694Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Cloud computing is an application hosting model providing the illusion of infinite computing power. However, even the largest datacenters have finite computing capacity, thus cloud infrastructures have experienced overload due to overbooking or transient failures. The topic of this paper is the comparison of different control strategies to mitigate overload for datacenters, that assume that the running cloud applications are cooperative and help the infrastructure in recovering from critical events. Specifically, the paper investigates the behavior of different controllers when they have to keep the average response time of a cloud application below a certain threshold by acting on the probability of serving requests with optional computations disabled, where the pressure exerted by each request on the infrastructure is diminished, at the expense of user experience.

Ort, förlag, år, upplaga, sidor
2014. Vol. 47, s. 689-694
Serie
IFAC PAPERSONLINE, ISSN 2405-8963
Nyckelord [en]
Computer systems, Feedback loops, Model-based control, Multiprocessor systems, Probabilitstic models, Queuing theory
Nationell ämneskategori
Datorsystem Reglerteknik
Forskningsämne
reglerteknik; administrativ databehandling
Identifikatorer
URN: urn:nbn:se:umu:diva-84211ISI: 000391107100112OAI: oai:DiVA.org:umu-84211DiVA, id: diva2:680474
Konferens
19th World Congress of the International-Federation-of-Automatic-Control (IFAC), AUG 24-29, 2014, Cape Town, SOUTH AFRICA
Forskningsfinansiär
ELLIIT - The Linköping‐Lund Initiative on IT and Mobile CommunicationseSSENCE - An eScience CollaborationEU, FP7, Sjunde ramprogrammet, 257019Vetenskapsrådet, C0590801Linnaeus research environment CADICS
Anmärkning

Issue: 3

Tillgänglig från: 2013-12-18 Skapad: 2013-12-18 Senast uppdaterad: 2018-06-08Bibliografiskt granskad

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Maggio, MartinaKlein, Cristian

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