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TOWARD BETTER QUALITY OF SERVICE COMPOSITION BASED ON A GLOBAL SOCIAL SERVICE NETWORK

ABSTRACT

            In this paper we study about Toward Better Quality of Service Composition Based on a Global Social Service Network. Automatic service composition can create new value-added services dynamically and automatically from existing services in an envisioned service-oriented architecture. However, despite considerable progress, web-scale uptake has been significantly less than initially anticipated because of several challenging issues, such as poor scalability, exponentially expanding search time in large search spaces, and the lack of service sociability caused by the isolation of services. In this paper, we propose an innovative methodology for moving from isolated service islands to a global social service network (GSSN) by developing a network model that supports service sociability. First, we propose the construction of a GSSN based on the quality of social links. We then propose an algorithm that maps the GSSN into a service cluster network to reduce the search space, and a quality-driven composition approach that enables exploitation of the service cluster network by providing workflow as a service. Finally, experimental results show that our GSSN-based approach can solve the service composition problem well, improving not only the response time but also the success rate.

EXISTING SYSTEM	PROPOSED SYSTEM
EXISTING CONCEPT:- Automatic service composition can create new value-added services dynamically and automatically from existing services in an envisioned service-oriented architecture. However, despite considerable progress, web-scale uptake has been significantly less than initially anticipated because of several challenging issues, such as poor scalability, exponentially expanding search time in large search spaces, and the lack of service sociability caused by the isolation of services	PROPOSED CONCEPT:- In this paper, we propose an innovative methodology for moving from isolated service islands to a global social service network that will improve the quality of service composition. To develop a service’s sociability, the GSSN considers not only the service’s own functional and nonfunctional detail but also the service’s past social interactions and popularity. This provides a network model having properties that reflect social realities, thereby enhancing the service’s social activities.
EXISTING TECHNIQUE:-    Semantic based approach	PROPOSED TECHNIQUE:-    Workflow as a service
TECHNIQUE DEFNITION:-   Semantic-based composition approaches have tried to satisfy users functional requirements by minimizing semantic and syntactic mediators	TECHNIQUE DEFNITION:-   To provide a better quality of service composition, we first translate the GSSN into a service cluster network, following social links to reduce the search space. Next, we calculate the adjacency matrix and reachability matrix based on the service cluster network. Finally, we propose an algorithm to provide workflow as a service with a cost assignment scheme based on the quality of social links.
DRAWBACKS:-    Poor scalability Exponentially expanding search time in large search spaces    The lack of service sociability	ADVANTAGES:- Quality of service is high Reduce the search space Service sociability is high