Special Issue on Autonomic Clouds

Javier Diaz-Montes, Ioan Petri, Omer Rana, Manish Parashar

Research output: Contribution to specialist publicationArticle

Abstract

Cloud computing continues to grow in complexity due to both the increasing availability of configuration options from public cloud providers and the increasing variability and types of application instances that can be deployed on such platforms. This complexity is also evident in the enterprise-scale datacenters that dominate computing infrastructures in industry, leading to complex business applications and workflows. Autonomic computing enables self-management of systems and applications. The underlying concepts and mechanisms of autonomics can be applied to each component within a cloud (resource manager/scheduler, power manager, and so on) as well as to the cloud as a whole, or they can be applied within an application that makes use of such a cloud. Additionally, autonomics can play a critical role as applications explore dynamic federations of cloud infrastructure and services. This special issue explores the role of autonomic computing concepts and practices in managing cloud infrastructure and applications.

Original languageEnglish (US)
Pages26-29
Number of pages4
Volume3
No3
Specialist publicationIEEE Cloud Computing
DOIs
StatePublished - May 1 2016

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)
  • Software
  • Computer Science Applications
  • Computer Networks and Communications

Keywords

  • autonomics
  • cloud computing
  • self-management
  • self-managing systems

Fingerprint

Dive into the research topics of 'Special Issue on Autonomic Clouds'. Together they form a unique fingerprint.

Cite this