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Efficient Service Skyline Computation for Composite Service Selection ABSTRACT Service composition is emerging as an effective vehicle for integrating existing web services to create value-added and personalized composite services. As web services with similar functionality are expected to be provided by competing providers, a key challenge is to find the “best” web services to participate in the composition. When multiple quality aspects (e.g., response time, fee, etc.) are considered, a weighting mechanism is usually adopted by most existing approaches, which requires users to specify their preferences as numeric values. We propose to exploit the dominance relationship among service providers to find a set of “best” possible composite services, referred to as a composite service skyline. We develop efficient algorithms that allow us to find the composite service skyline from a significantly reduced searching space instead of cons
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Efficient Service Skyline Computation for Composite Service Selection
ABSTRACT
Service composition is emerging as an effective vehicle for integrating existing web
services to create value-added and personalized composite services. As web services
with similar functionality are expected to be provided by competing providers, a key
challenge is to find the “best” web services to participate in the composition. When
multiple quality aspects (e.g., response time, fee, etc.) are considered, a weighting
mechanism is usually adopted by most existing approaches, which requires users to
specify their preferences as numeric values. We propose to exploit the dominance
relationship among service providers to find a set of “best” possible composite services,
referred to as a composite service skyline. We develop efficient algorithms that allow us
to find the composite service skyline from a significantly reduced searching space
instead of considering all possible service compositions. We propose a novel bottom-up
computation framework that enables the skyline algorithm to scale well with the
number of services in a composition. We conduct a comprehensive analytical and
experimental study to evaluate the effectiveness, efficiency, and scalability of the
composite skyline computation approaches.
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Abstract Existing System Disadvantages Proposed System Advantages Objective System Requirements System Architecture
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![Efficient Computation of Reverse Skyline Queries[16]. The best known algorithm that can answer Dynamic Skyline Queries (DSQ) is the Branch-and-Bound Skyline (BBS) algorithm [16]](https://img.pdfslide.us/doc/110x75/60ed59be6c166c466d546093/eficient-computation-of-reverse-skyline-16-the-best-known-algorithm-that-can.jpg)
