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2013 IEEE 5th International Conference on Cloud Computing Technology and Science (2013)
Bristol, United Kingdom United Kingdom
Dec. 2, 2013 to Dec. 5, 2013
pp: 481-486
ABSTRACT
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.
INDEX TERMS
Cloud computing, Data models, Computer architecture, Service-oriented architecture, Adaptation models, Distributed databases, Data processing,Cloud Monitoring, Cloud Computing, Cloud Performance, Infrastructure Management, Policy-Based Management
CITATION
Martin Serrano, Manfred Hauswirth, Nikos Kefalakis, John Soldatos, "A Self-Organizing Architecture for Cloud by Means of Infrastructure Performance and Event Data", 2013 IEEE 5th International Conference on Cloud Computing Technology and Science, vol. 01, no. , pp. 481-486, 2013, doi:10.1109/CloudCom.2013.70
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