Quality of Service Management for Service Oriented Applications in a Cloud Architecture

International Journal of P2P Network Trends and Technology (IJPTT)          
© 2016 by IJPTT Journal
Volume - 6 Issue - 6
Year of Publication : 2016
Authors : Mohamed-K Hussein, Mohamed-H Mousa


Mohamed-K Hussein, Mohamed-H Mousa "Quality of Service Management for Service Oriented Applications in a Cloud Architecture". International Journal of P2P Network Trends and Technology (IJPTT), V6(6):12-19 Nov - Dec 2016, ISSN:2249-2615, www.ijpttjournal.org, Published by Seventh Sense Research Group.


The cloud computing technology proliferate the IT infrastructures with plethora of services ranging from software services to hardware services. The service oriented application is based on the composition of a set of aggregated web services offered by the cloud as Software as a Services (SaaS). The SaaS provider requires the cloud hardware services, known as the Infrastructure as a Service (IaaS), to host the SaaS. The SaaS provider is either using internal data centers as private IaaS infrastructure or rented from a public IaaS provider. The shared computing resources of the public IaaS provider impact the Quality of Services (QoSs) of the web services, such as response time, which are defined in the Service Level Agreement (SLA). The SLA management of aggregated set of web services is a non-trivial and a challenging problem, called Service Consolidation Problem (SCP). In this paper, an efficient service consolidation algorithm is proposed for SLA management in a cloud environment. The proposed algorithm is a scheduling algorithm for the SaaS provider which aims to: (1) reduce the cost of the SaaS provider resulting from renting computing resources from public IaaS provider by effectively utilizing the number of the initiated virtual machines, (2) minimize the response time of web services by effectively mapping the web services to the required virtual machines which do not violate the SLA. Extensive evaluations is conducted on the CloudSim simulation using various configurations, scales and workloads. Further, empirical comparisons with various algorithms from the literature are performed to prove the effectiveness and robustness of the proposed algorithm. Simulation results show that the proposed algorithm outperform the reference algorithms, up to 15% improvement.


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Cloud computing, Service Oriented Architecture, Web services, service aggregation, Software as a Service, Infrastructure as a Service.