Quality of Service and Service Level Agreements for Cloud Environments: Issues and Challenges

Inderveer Chana,Sukhpal Singh

doi:10.1007/978-3-319-10530-7_3

Inderveer Chana, Sukhpal Singh

https://doi.org/10.1007/978-3-319-10530-7_3

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The increasing use of Cloud computing makes the development of high-quality Cloud-based applications a vital research area. Cloud computing, which provides inexpensive computing resources on the pay-as-you-go basis, is promptly gaining momentum as a substitute for traditional information technology (IT)-based organizations. As more and more users migrate their applications to Cloud environments, service level agreements (SLAs) between clients and Cloud providers become a key element to consider. Due to the dynamic nature of the Cloud, endless supervision of quality of service (QoS) attributes is necessary to honor the SLAs. Thus, Cloud computing faces the challenge of QoS, especially in relation to how a service provider can ensure appropriate QoS for its Cloud services. QoS is an inherent element, part of service-oriented architecture (SOA), to direct nonfunctional quality attributes of a service, such as the response time, price, or the supported security rules. Consequently, there is a requirement to grow architectures in order to respond correctly to the QoS requirements. The architecture should be able to change dynamically the amount of resources made available to the applications it hosts. Optimal resource utilization should be attained by providing (and maintaining at run time) each hosted application with the number of resources which is adequate to guarantee that the application SLA will not be violated. This chapter reflects the essential perceptions behind the QoS provision in the Cloud, identifies current and innovative quality attributes based on customers’ desires associated with SLA and identifies metrics to measure the deviation of QoS from predictables, with possible resolution in the outline of architecture for spontaneous supervision of QoS without violation of SLA. The existing intent of Cloud SLAs is inspected with a focus on QoS and customer requirements. Further, foremost research problems and scientific challenges in Cloud SLAs have been considered with possible reasons. Autonomic management architecture for dynamic provisioning of resources based on users QoS requirements to maximize efficiency and automatic fulfillment of SLA has also been proposed.

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