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A Self-Organizing Architecture for Cloud by means of Infrastructure Performance and Event Data


Martin Serrano, Manfred Hauswirth, Nikos Kefalakis, John Soldatos

Publication Type: 
Refereed Conference Meeting Proceeding
The management performance of cloud systems is measured by the capacity of the cloud for controlling virtual infrastructures and their capability to run parallel-computing applications and distributed-processing services independently. The challenge about how this management performance can be done more dynamically (self-organization) by means of distributed user data and application data demands is yet an area to explore. This paper introduces first a functional architecture design, following the principles for cloud-based service lifecycle control and service composition in cloud, and second an in-house approach enabling self-organization for cloud services controlling the installation of virtual machines by using event-driven management operations acting as a proof of concept implementation. From a management point of view in cloud, enabling control of virtual infrastructures as a response to performance protocols by means of event(s) data processing is fundamental. Likewise managing cloud services lifecycle by enabling scalable applications and using distributed information systems and linked data processing, guarantee the self-organizing feature for cloud systems. Finally multiple advantages arise when infrastructure performance and end user data are used in cloud service management as it is discussed in this paper.
Conference Name: 
2013 IEEE International Conference on Cloud Computing Technology and Science (IEEE Cloudcom 2013)
2013 IEEE International Conference on Cloud Computing Technology and Science (IEEE Cloudcom 2013)
Digital Object Identifer (DOI):
Publication Date: 
Conference Location: 
United Kingdom (excluding Northern Ireland)
Research Group: 
National University of Ireland, Galway (NUIG)
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