Title
Self-organizing System for the Autonomic Management of Collaborative Cloud Applications
Abstract
Cloud computing has become an integral technology both for the day-to-day running of corporations, as well as for people life as more services are offered which use a back-end cloud. For the cloud providers, the ability to maintain the systems' Service Level Agreements and prevent service outages is paramount since long periods of failures can open them to large liabilities from their customers. These are the problems that autonomic management systems attempt to solve. Autonomic computing systems are capable of self-managing themselves by self-configuring, self-healing, self-optimizing, and self-protecting themselves, together known as self-CHOP. In this paper, an autonomic computing system which manages the self-optimizing function of a cloud collaborative application is presented. The autonomic control system itself uses self-organizing algorithms based on the leaky bucket flow model inspired from network congestion control.
Year
DOI
Venue
2014
10.1007/978-3-319-18296-4_38
SOFT COMPUTING APPLICATIONS, (SOFA 2014), VOL 1
Field
DocType
Volume
Autonomic computing,Service level,Virtual machine,Computer science,Computer security,Networking hardware,Service-level agreement,Leaky bucket,Artificial intelligence,Management system,Machine learning,Cloud computing
Conference
356
ISSN
Citations 
PageRank 
2194-5357
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Bogdan Solomon1476.54
Dan Ionescu2377.58
Cristian Gadea3378.40