Topic
Differentiated service
About: Differentiated service is a research topic. Over the lifetime, 5539 publications have been published within this topic receiving 105225 citations.
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TL;DR: In this article, the authors examined knowledge-based service composition and adaptive resource planning in a cloud manufacturing environment, and proposed a feasible service composition method that facilitates easy mapping between service requests and manufacturing resources based on restrictive rule sets in the cloud and availability information about a resource.
113 citations
14 May 2001
TL;DR: A top-down oriented and systematic methodology is proposed that is used to analyze and identify the necessary actors and the corresponding inter- and intra-organizational relationships and a generic service model is introduced that defines commonly needed service-related terms, concepts and structuring rules in a general and unambiguous way.
Abstract: Service management has been a hot topic in the research community for the last couple of years. However, due to the complexity of this research area, no commonly accepted definition of the terms service, service management, and the associated management tasks has evolved yet. This paper contributes to the ongoing process of defining these terms by proposing a top-down oriented and systematic methodology that is used to analyze and identify the necessary actors and the corresponding inter- and intra-organizational relationships. Then, a generic service model is introduced that defines commonly needed service-related terms, concepts and structuring rules in a general and unambiguous way. Since most of the work that is being presented here is still in flux, the service model is finally used to identify and structure open research questions.
113 citations
TL;DR: This paper proposes an ontology-based categorization of contextual information in Web service environments and defines a two-level mechanism for modeling Web service contexts, and presents a peer-to-peer architecture for matching context policies.
Abstract: In this paper, we propose a novel matching framework for Web service composition. The framework combines the concepts of Web service, context, and ontology. We adopt a broad definition of context for Web services, encompassing all information needed for enabling interactions between clients and providers. Context-based matching for Web services requires dealing with three major research thrusts: context categorization, modeling, and matching. We first propose an ontology-based categorization of contextual information in Web service environments. We then define a two-level mechanism for modeling Web service contexts. In the first level, service providers create context specifications using category-specific Web service languages and standards. In the second level, context specifications are enveloped by policies (called context policies) using WS-Policy standard. Finally, we present a peer-to-peer architecture for matching context policies. The architecture relies on a context matching engine, context policy assistants, and context community services. Community services implement rule-based techniques for comparing context policies.
113 citations
TL;DR: A fuzzy-based UDDI with QoS support is proposed that tries to consider not only the objective factors described by service providers but also the subjective information with trustability evaluations from users who use those services.
Abstract: Web service is an emerging Internet technology to dynamically describe, discover and communicate. According to the Web Service Architecture (WSA) published by W3C, users can find services through the repository Universal Description, Discovery and Integration (UDDI). However, the UDDI may find many web services with similar functions without considering the nonfunctional quality of service (QoS) information. Under such circumstances, users may have difficulty deciding which service is suitable. This paper proposes a fuzzy-based UDDI with QoS support. Unlike many similar researches, the proposed method tries to consider not only the objective factors described by service providers but also the subjective information with trustability evaluations from users who use those services. Genetic algorithm (GA) is adapted to learn user preferences, and fuzzy logic is applied for making decisions. With a fuzzy query interface to input subjective and objective factors, users can determine the most suitable web service for personal use.
113 citations
TL;DR: Three simple, server‐side, application‐level mechanisms to provide two different levels of Web service (regular and low priority) are presented and show that even with background traffic sufficient to saturate the network, foreground performance is reduced by at most 4–17%.
Abstract: The current World Wide Web service model treats all requests equivalently, both while being processed by servers and while being transmitted over the network. For some uses, such as Web prefetching or multiple priority schemes, different levels of service are desirable. This paper presents three simple, server-side, application-level mechanisms (limiting process pool size, lowering process priorities, limiting transmission rate) to provide two different levels of Web service (regular and low priority). We evaluated the performance of these mechanisms under combinations of two foreground workloads (light and heavy) and two levels of available network bandwidth (10 Mb/s and 100 Mb/s). Our experiments show that even with background traffic sufficient to saturate the network, foreground performance is reduced by at most 4–17%. Thus, our user-level mechanisms can effectively provide different service classes even in the absence of operating system and network support.
113 citations