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Facilitating self-adaptable inter-cloud management

Kecskemeti, G, Maurer, M, Brandic, I, Kertesz, A, Nemeth, Z and Dustdar, S (2012) Facilitating self-adaptable inter-cloud management. In: 2012 20th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2012 . pp. 575-582. (2012 20th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2012, 15-17th Feb 2012, Garching).

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Abstract

Cloud Computing infrastructures have been developed as individual islands, and mostly proprietary solutions so far. However, as more and more infrastructure providers apply the technology, users face the inevitable question of using multiple infrastructures in parallel. Federated cloud management systems offer a simplified use of these infrastructures by hiding their proprietary solutions. As the infrastructure becomes more complex underneath these systems, the situations (like system failures, handling of load peaks and slopes) that users cannot easily handle, occur more and more frequently. Therefore, federations need to manage these situations autonomously without user interactions. This paper introduces a methodology to autonomously operate cloud federations by controlling their behavior with the help of knowledge management systems. Such systems do not only suggest reactive actions to comply with established Service Level Agreements (SLA) between provider and consumer, but they also find a balance between the fulfillment of established SLAs and resource consumption. The paper adopts rule-based techniques as its knowledge management solution and provides an extensible rule set for federated clouds built on top of multiple infrastructures. © 2012 IEEE.

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Computer Science & Mathematics
Publisher: IEEE
Date Deposited: 04 Aug 2016 13:18
Last Modified: 13 Apr 2022 15:14
DOI or ID number: 10.1109/PDP.2012.41
URI: https://researchonline.ljmu.ac.uk/id/eprint/3992
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