Managing SLA Violation in the cloud using Fuzzy re-SchdNeg Decision Model

The rapid increase in the number of consumers and a dynamic change like cloud computing causes different challenges for the service providers to fulfil the service level agreement (SLA). When the SLA violation occurs, the SaaS providers not only to pay the agreed penalty in terms of money, but the trusted relationship may affect that impact on lose of current or potential customers. Therefore, the interacting parties need a proactive SLA management system that alerts beforehand the service provider when it detects any expected violation and provides an optimal decision system to regulate and scale available resources to avoid service violation. Most of the existing studies focused on predicting SLA violation to avoid SLA violation, however, they have ignored considering the process of rescheduling and renegotiation while dealing with service violation that plays a vital role to prevent service violation. In this paper, we propose a fuzzy rescheduling/negotiation (re-SchdNeg) decision support system that offers the best alternative solution for SaaS providers to apply rescheduling techniques to allocate potential violated jobs on available resources. When the system finds the available services are insufficient to handle the possible violated job, the system will start a renegotiation session.