The approach improves the supplier`s utility and reduces ALS injuries. Dynamic customer requirements and the availability of vendor resources in the cloud market make them insufficient static approaches to ensure the QoS level (quality of service) and set prices. In this context, dynamic information negotiations are a viable way to achieve a high level of satisfaction on both sides. We propose to use capacity planning to support bilateral negotiation processes, in order to maximize benefits for service providers by avoiding contracts that could arise in the event of a breach of Service Level Agreements (SLAs), while maintaining competitive prices. The proposed technique uses a non-additive use function defined in the area of acceptable ALS proposals, taking into account the desired QoS and the availability of resources, costs and expected penalties. Experimental analysis shows the usefulness of the proposed dynamic approach in terms of static In a scenario characterized by a set of customers and differentiated classes of applications provided by a cloud environment. Service level agreements are like a roof that encompasses our entire portfolio. They are a way for our customers to ensure they receive the best possible service. Although the service level agreement is tailored to each customer, there are a number of areas that are fairly standardized. The guaranteed availability of staff and short response times can all be taken into account. These agreements reduce the risk of the customer`s operation to a computable factor by defining individual procurement services and emergency services provided. A large number of KPIs (Key Performance Indicators) can be integrated into a service level contract. The utility function takes into account available resources dynamically.
We offer a capacity-based utilization model to support cloud services trading. Eugenio Zimeo graduated in 1999 with an M.S. degree in Electrical Engineering from the University of Salerno, Italy, and in 1999, a doctorate in computer science from the University of Naples, Italy. He is currently an Associate Professor at the University of Sannio, Benevento, Italy. His research priorities include software architectures and frameworks for distributed systems, high-performance middleware, service-oriented computing, grid and cloud, and wireless sensor networks. He has published approximately 90 scientific papers in journals and specialized conferences and directs many major research projects. The aim is to support the customer`s CO2 management plan in order to optimally compensate for its impact on users, environmental impact and costs. Energy Solutions will ensure a reliable supply of gas, electricity and water at all customer sites and negotiate to achieve the most competitive supply conditions. We will develop, implement and promote an energy strategy. Nadia Ranaldo received her Ph.D.
in computer science in 2005 from the University of Sannio, Benevento, Italy. She is a scientific collaborator in the Department of Engineering at the University of Sannio. Its research priorities include distributed system frameworks, parallel computing, wireless networks and sensors, resource management and capacity planning, grid and cloud computing. Our Standard-Service Level Agreement is available on request.