Webbläsaren som du använder stöds inte av denna webbplats. Alla versioner av Internet Explorer stöds inte längre, av oss eller Microsoft (läs mer här: * https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Var god och använd en modern webbläsare för att ta del av denna webbplats, som t.ex. nyaste versioner av Edge, Chrome, Firefox eller Safari osv.

Control-theoretical load-balancing for cloud applications with brownout

In English

Författare

  • Jonas Dürango
  • Manfred Dellkrantz
  • Martina Maggio
  • Cristian Klein
  • Alessandro Vittorio Papadopoulos
  • Francisco Hernández-Rodriguez
  • Erik Elmroth
  • Karl-Erik Årzén

Summary, in English

Cloud applications are often subject to unexpected events like flash crowds and hardware failures. Without a predictable behaviour, users may abandon an unresponsive application. This problem has been partially solved on two separate fronts: first, by adding a self-adaptive feature called brownout inside cloud applications to bound response times by modulating user experience, and, second, by introducing replicas -- copies of the applications having the same functionalities -- for redundancy and adding a load-balancer to direct incoming traffic. However, existing load-balancing strategies interfere with brownout self-adaptivity. Load-balancers are often based on response times, that are already controlled by the self-adaptive features of the application, hence they are not a good indicator of how well a replica is performing. In this paper, we present novel load-balancing strategies, specifically designed to support brownout applications. They base their decision not on response time, but on user experience degradation. We implemented our strategies in a self-adaptive application simulator, together with some state-of-the-art

solutions. Results obtained in multiple scenarios show that the proposed strategies bring significant improvements when compared to the state-of-the-art ones.

Publiceringsår

2014

Språk

Engelska

Sidor

5320-5327

Publikation/Tidskrift/Serie

2014 IEEE 53rd Annual Conference on Decision and Control (CDC 2014)

Dokumenttyp

Konferensbidrag

Förlag

IEEE - Institute of Electrical and Electronics Engineers Inc.

Ämne

  • Control Engineering

Conference name

53rd IEEE Conference on Decision and Control

Conference date

2014-12-15

Conference place

Los Angeles, CA, United States

Status

Published

Projekt

  • EIT_VR CLOUD Cloud Control

Forskningsgrupp

  • LCCC

ISBN/ISSN/Övrigt

  • ISBN: 978-1-4799-7746-8