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A Cloud Scheduler Assisted by a Fuzzy Affinity-Aware Engine
University of Castilla-La Mancha, Spain.
University of Castilla-La Mancha, Spain.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2015 (English)In: 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) / [ed] Adnan Yazici, Nikhil R.Pal, Uzay Kaymak, Trevor Martin, Hisao Ishibuchi, Chin-Teng Lin, Joao M. C. Sousa and Bulent Tutmez, IEEE Computer Society, 2015, 1-8 p.Conference paper (Refereed)
Abstract [en]

Recent advances on declarative paradigms have introduced expressive resources based on fuzzy logic. These are very useful for increasing the flexibility of the so-called fuzzy logicprogramming paradigm, resulting in highly expressive languages where the treatment of uncertainty and approximate reasoning is performed in a natural, efficient way. Therefore, making it extremely useful for decision-making scenarios dealing with highlevels of uncertainty. One such scenario is capacity management in cloud environments, where the amount of resources that users will request is unknown and can vary significantly overtime, usually leading to poor resource utilization. Overbooking techniques allow cloud providers to increase utilization, but the risk of degrading application performance due to exhausting resources also increases as applications need to share the servers. Fuzzy logic programming can be used to decide how cloud applications should be co-located with each other, minimizing the interference among them. Therefore, we propose a newscheduling mechanism based on fuzzy logic cores clustering, and applications–cores affinity estimation to decide which applications to co-locate reducing the interference. An experimental evaluation confirms that our affinity-aware fuzzy logic assisted scheduler minimizes the interference among applications, enabling a moresafe overbooking and consequently higher cloud provider revenue.

Place, publisher, year, edition, pages
IEEE Computer Society, 2015. 1-8 p.
, IEEE International Fuzzy Systems Conference Proceedings, ISSN 1544-5615
Keyword [en]
Cloud Computing, Clustering, Fuzzy Logic Programming, In-Server Scheduling, Overbooking
National Category
Computer Systems
URN: urn:nbn:se:umu:diva-108292DOI: 10.1109/FUZZ-IEEE.2015.7337931ISI: 000370288300132OAI: diva2:852175
IEEE International Conference on Fuzzy Systems (FUZZIEEE), 02 Aug - 05 Aug 2015,KADIR HAS UNIVERSITY ADIR HAS CAD. CIBALI, ISTANBUL, Turkey
Available from: 2015-09-08 Created: 2015-09-08 Last updated: 2016-03-29Bibliographically approved

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