Monitoring and Management of Service Level Agreements in Cloud Computing

Abstract

Cloud computing environment consists of various interactive entities like cloud service providers, cloud service brokers, cloud customers and end-users with different objectives and expectations. Service Level Agreements (SLAs) manage the relationship among cloud service providers and cloud consumers by defining the terms of the agreement for the participating entities and provide the basic ground for interactions among both the parties. In this work we proposed a framework to efficiently monitor and analyze the SLA parameters and tried to find out the possibility of occurrence of SLA violations. Also we implemented an adaptive resource allocation system by utilizing the results of predicted SLA violations. Our adaptive resource allocation system allocates computing resources to cloud applications and tries to reduce the occurrence of SLA violations, by allocating additional resources on the detection of possibility of occurrence of a violation. The experimental studies show that our proposed system works well in private cloud computing environment and gives more efficient results.