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Online Spike Detection in Cloud Workloads

In English

Författare

  • Amardeep Mehta
  • Jonas Dürango
  • Johan Tordsson
  • Erik Elmroth

Summary, in English

We investigate methods for detection of rapid workload increases (load spikes) for cloud workloads. Such rapid and unexpected workload spikes are a main cause for poor performance or even crashing applications as the allocated cloud resources become insufficient. To detect the spikes early is fundamental to perform corrective management actions, like allocating additional resources, before the spikes become large enough to cause problems. For this, we propose a number of methods for early spike detection, based on established techniques from adaptive signal processing. A comparative evaluation shows, for example, to what extent the different methods manage to detect the spikes, how early the detection is made, and how frequently they falsely report spikes.

Publiceringsår

2015

Språk

Engelska

Sidor

446-451

Publikation/Tidskrift/Serie

[Host publication title missing]

Dokumenttyp

Konferensbidrag

Förlag

IEEE - Institute of Electrical and Electronics Engineers Inc.

Ämne

  • Control Engineering

Nyckelord

  • cloud
  • cloud workload
  • workload spike
  • spike detection

Conference name

2nd IEEE Workshop on Cloud Analytics

Conference date

2015-03-12

Conference place

Tempe, AZ, United States

Status

Published

Projekt

  • EIT_VR CLOUD Cloud Control

Forskningsgrupp

  • LCCC