Which cloud auto-scaler should i use for my application? Benchmarking auto-scaling algorithms: [Poster paper]

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceeding

Abstract

Rapid elasticity is one of the essential characteristics of cloud computing identified by NIST [17]. Elasticity allows resources to be provisioned and released to scale rapidly out ward and in ward according to demand. Tens - if not hundreds - of algorithms have been proposed in the literature to automatically achieve elastic provisioning [15, 23, 14, 21, 13, 20, 6, 12, 16, 10]. These algorithms are typically referred to as elasticity algorithms, dynamic provisioning techniques or autoscalers. While trying to solve the same problem, sometimes with differing assumption, many of these algorithms are either compared to static provisioning or to a predefined QoS target, e.g., predefined response time target, with very little - or no - comparison to previously published work. This reduces the ability of an application owner or a cloud operator to choose and deploy a suitable algorithm from the literature. Many of these algorithms have been tested with one single - real or synthetic -workload in a specific use-case [13, 14, 10]. While all published algorithms are shown to work in the specific use-case they were designed for with the, typically short, workloads tested with, it is seldom the case that the real scenarios will be any thing close to the test cases for which the algorithms are shown to work. Bursts occur in workloads occasionally. Workload dynamics change over time and the load-mix of an application significantly affects how provisioning should be done [21].

Detaljer

Författare
  • Ahmed Ali-Eldin
  • Alexey Ilyushkin
  • Bogdan Ghit
  • Nikolas Roman Herbst
  • Alessandro Papadopoulos
  • Alexandru Iosup
Enheter & grupper
Externa organisationer
  • Umeå University
  • Delft University of Technology
  • Julius Maximilian University of Würzburg
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Data- och informationsvetenskap
Originalspråkengelska
Titel på värdpublikationICPE 2016 - Proceedings of the 7th ACM/SPEC International Conference on Performance Engineering
FörlagAssociation for Computing Machinery (ACM)
Sidor131-132
Antal sidor2
ISBN (elektroniskt)9781450340809
StatusPublished - 2016 mar 12
PublikationskategoriForskning
Peer review utfördJa
Evenemang7th ACM/SPEC International Conference on Performance Engineering, ICPE 2016 - Delft, Nederländerna
Varaktighet: 2016 mar 122016 mar 16

Konferens

Konferens7th ACM/SPEC International Conference on Performance Engineering, ICPE 2016
LandNederländerna
OrtDelft
Period2016/03/122016/03/16