DocumentCode :
3435333
Title :
Merkat: A Market-Based SLO-Driven Cloud Platform
Author :
Costache, Stefania ; Parlavantzas, N. ; Morin, Christine ; Kortas, Samuel
Author_Institution :
EDF R&D, Paris, France
Volume :
1
fYear :
2013
fDate :
2-5 Dec. 2013
Firstpage :
403
Lastpage :
410
Abstract :
Cloud computing brings new service models that offer users more flexibility and better resource control promising to improve the user´s satisfaction in terms of Quality of Service. However, current cloud solutions, in particular above the Infrastructure-as-a-Service layer, don´t provide automated solutions that address the Quality of Service users may want for their applications. In this paper we present Merkat, a platform that is capable to dynamically share cloud resources between the different application types using a market-based resource allocation mechanism. Merkat provides fair and maximum resource utilization by allocating fine-grained resource amounts to users proportionally to their communicated value. In the same time, autonomous controllers provide Service Level Objective support by applying elasticity rules to scale the application demand according to user performance objectives. Our experiments show that Merkat is able to efficiently react to changes in application load and user requirements, leading to better user satisfaction.
Keywords :
cloud computing; quality of service; resource allocation; Merkat; autonomous controllers; cloud computing; dynamic cloud resource sharing; fine-grained resource allocation; infrastructure-as-a-service layer; market-based SLO-driven cloud platform; market-based resource allocation mechanism; quality of service; resource control; service level objective; service models; user satisfaction; Cloud computing; Equations; Load management; Measurement; Monitoring; Organizations; Resource management; PaaS; cloud computing; high performance computing; resource management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Computing Technology and Science (CloudCom), 2013 IEEE 5th International Conference on
Conference_Location :
Bristol
Type :
conf
DOI :
10.1109/CloudCom.2013.59
Filename :
6753824
Link To Document :
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