Automated Negotiation Among Web Services

Software as a service is well accepted software deployment and distribution model that is grown exponentially in the last few years. One of the biggest benefits of SaaS is the automated composition of these services in a composite system. It allows users to automatically find and bind these services, as to maximize the productivity of their composed systems, meeting both functional and non-functional requirements. In this paper we present a framework for modeling the dependency relationship of different Quality of Service parameters of a component service. Our proposed approach considers the different invocation patterns of component services in the system and models the dependency relationship for optimum values of these QoS parameters. We present a service composition framework that models the dependency relations ship among component services and uses the global QoS for service selection

Web service cost optimization

Cloud computing has become a major building block for Web applications where the service providers provide the costumers with Web services performing certain tasks so the system developers can use these services instead of implementing them. Service computing follows the "pay-peruse" as a model for pricing. Due to the variety of service providers, we have many different prices for services and these services have different performance characteristics. The problem here is how to find the best services in terms of cost and performance and is it feasible to switch from one service provider to another. In this paper we propose Wcost, a scheme to resolve this problem based on POCEA algorithm which is a combination of P-Optimality and Genetic algorithms which result in more efficient solution than Genetic Algorithm approaches. Our proposed scheme includes a flexible and easily customizable objective function that is suitable for different types of Web services to be composed. 2015 ACM.Scopu

QoS dependency modeling for composite systems

Software as a service is a well accepted software deployment and distribution model that has grown exponentially in the last few years. One of the biggest benefits of SaaS is the automated composition of different services in a composite system. It allows users to automatically find and bind these services (to maximize the productivity), meeting both functional and non-functional requirements. In this paper, we present a framework for modeling the dependency relationships among different Quality of Service parameters of the component services. Our proposed approach considers the different invocation patterns of component services, and presents a service composition framework to model the dependencies and uses the global QoS for service selection. We evaluate the efficiency of our proposed technique on the WSDream-QoS Dataset [1]