Autonomous Intelligent Agent Indemnification in Sla (IAIS) Architecture for Effortless Monitoring of SLA Violations

Increasing demand for cloud computing is the reason for its ubiquitous growth in today's world. Enterprise consumers from large organization to small organization are preferring the services such as IaaS, SaaS and PaaS for their business growth with minimal cost because of on demand pay model. To employ such services for their organization, the cloud consumer and cloud service providers(CSP) has to consensus a agreement between them popularly known as Service Level Agreement(SLA). These SLA usually contains the type of service,Target Period, Quality of Service (QOS) properties, and Penalties called Service Level Objective (SLO) that has to be maintained during the service provision. This necessitates for the need to continuously monitor SLA violation to enforce penalties on the wronged one. Often this SLA management such as SLA monitoring and reporting is usually done by third party entity. But often these third party entities failed to ensure trust and compliance among the cloud consumers and CSPs. Henceforth in this paper, we propose a use of Intelligent Agent to monitor the SLO on behalf of the cloud consumers and report them of any discrepancies. We propose an Intelligent Agent Indemnification in SLA (IAIS) Architecture where the SLA management is entrusted to the dynamic, autonomous intelligent agent which is considered to be a substitute for human. We also measure some of the Key Performance Indicators and establish a threshold value to identify SLA violation based on threat threshold and will verify the same using simulation for effortless and efficient performance of the proposed framework.