A distributed scheme for autonomous service composition

Herborn, Stephen; Lopez, Yoann; Seneviratne, Aruna

doi:10.1145/1099423.1099429

Cited by 23 publications

(11 citation statements)

References 13 publications

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“…To facilitate chaining in service composition, MPs can be described according to their input and output ports. The concept was introduced in [24], [25]. Single input MPs take a media flow from one port and transform it into a different output flow according to the offered service function.…”

Section: Service Model and Composition Planmentioning

confidence: 99%

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QoS-Based Composition of Service Specific Overlay Networks

Ridhawi

Karmouch

2015

IEEE Trans. Comput.

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Optimization of service compositions represents a challenging area of research in mobile networks. The use of formal semantic descriptions of service interfaces and functionalities enable automated reasoning over service compositions. The growing challenge of finding effective methods to satisfy non-functional QoS requirements of customers exacerbates the composition problem. Fuzzy reasoning provides an effective means to represent QoS concepts that are vague or approximate thus providing a flexible best-match service query scheme. This paper presents a new fuzzy-induced, semantic-similarity-based service-specific overlay network composition over a hybrid service overlay network. The presented composition method allows for efficient, accurate, and QoS-aware component service discovery, composition, and execution. We demonstrate that our approach provides better performance and reduced composition delay when compared to other service-composition solutions.

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Section: Service Model and Composition Planmentioning

confidence: 99%

“…Returned MP responses to a composition request have their score evaluated by the calling MP (lines [26][27][28][29][30][31][32][33][34][35] and the highest ranked MP is chosen (lines [22][23][24][25].…”

Section: Message Forwarding and Semantic Comparisonmentioning

confidence: 99%

QoS-Based Composition of Service Specific Overlay Networks

Ridhawi

Karmouch

2015

IEEE Trans. Comput.

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“…However, many related studies do exist. Service composition methods have been proposed for many different kinds of environments, such as web services [36], multimedia streaming [29], [30], [31], [32], [33], [34], opportunistic networks [39], [40]. In the area of pervasive computing, many works propose centralized solutions [7], [8], [9], [10], [11], [12], [38], while some distributed approach have already been proposed [13], [14], [15].…”

Section: Related Workmentioning

confidence: 99%

LASEC: A Localized Approach to Service Composition in Pervasive Computing Environments

Siebert

Cao

Lai

et al. 2015

IEEE Trans. Parallel Distrib. Syst.

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Pervasive computing environments (PvCE) are embedded with interconnected smart devices which provide users with services desired. To meet requirements of users, smart devices with different kinds of functions may need to be associated together to provide the service described in the user requirement, which is called service composition. As the service composition environment may be dynamic and large scale, centralized service composition algorithm is usually inefficient due to message cost. On the other hand, a decentralized approach, which employs pre-determined coordinators to search and compose service, may have high cost as well. In this paper, we discuss a localized approach for service composition based on the Ubiquitous Interacting Object (UIO) model we have proposed earlier. UIO is an abstraction of physical devices in PvCE with ability to find and collaborate with other devices through exposing their capabilities as services. In our localized service composition algorithm (LASEC), UIOs collaborate with each other in a bottom-up, localized manner to compose required service without requiring global knowledge. To solve the problem of blind compositions in LASEC, we propose a novel mechanism called Alien-information-based Acknowledging (A-Ack), in which a UIO decides on collaborating with another UIO only after obtaining some additional information from the collaboration candidate. Specifically, this information refers to ability of a given UIO to compose another part of the service. Proposed LASEC is message-efficient and quality-guaranteed. Extensive simulations of LASEC as well as existing decentralized and pull-based centralized algorithms have been conducted. The results show the relatively low communication cost and composition time of LASEC. Moreover, we demonstrate feasibility of our approach with a prototype implementation.

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“…Ninja Service Discovery Service (SDS) [2] is one of the academic proposals to service discovery. It is integrated by three types of entities: services, clients and SDS servers.…”

Section: A Service Discovery Protocolsmentioning

confidence: 99%

Ontology-Based Resource Discovery in Pervasive Collaborative Environments

García

Kirsch-Pinheiro

Mendoza

et al. 2013

Lecture Notes in Computer Science

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Abstract-Most of the business, academic and even public environments (e.g., airports and malls) offer multiple services (e.g., flight and hotel reservation), hardware (e.g., printers, scanners and cameras) and software. However, it could be particularly difficult to take advantages of all these resources without a proper software support capable of finding resources that fulfill user's requirements. A user can be close to the resource he needs, but in a crowded and busy environment, it is highly probable that he would never find that resource without the help of a tool that discovers and locates it. To try to overcome this problem, multiple service discovery protocols (SDP) have been developed. Their main goal is to promote the use of network resources by offering some basic finding operations and by reducing configuration tasks. Unfortunately, most of these protocols are focused on providing support for software clients. They do not offer any suitable tools for describing resources for both publication and search. Consequently, users may waste their time making several queries with different parameters. In this paper, we tackle this issue by providing users means for semantically describing resources and their needs effortlessly. We propose an ontological approach to manage resources description. This proposal grants several advantages, such as organized storage of information and semantic-based knowledge retrieval through the use of reasoning tools. Finally, we also present a matchmaker proposal intended to find the best resource available for a user's request.

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A distributed scheme for autonomous service composition

Cited by 23 publications

References 13 publications

QoS-Based Composition of Service Specific Overlay Networks

QoS-Based Composition of Service Specific Overlay Networks

LASEC: A Localized Approach to Service Composition in Pervasive Computing Environments

Ontology-Based Resource Discovery in Pervasive Collaborative Environments

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