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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
