Modeling Service Composition and Exploring its Characteristics

Zhou, Jiehan; Riekki, Jukka; Ylianttila, Mika

doi:10.1109/services-i.2009.10

Cited by 6 publications

(4 citation statements)

References 28 publications

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“…From a general point of view, service composition can be modelled according to several design aspects. In this regard, a characteristic taxonomy is proposed by Zhou et al [316]. It considers reliability, adaptability, flexibility, representability, semantics, reusability, availability, stochastics, security, visualability, atomicity and coordination as potential features for service composition.…”

Section: Services and Composition Methodologiesmentioning

confidence: 99%

Service architecting and dynamic composition in pervasive smart ecosystems for the internet of things based on sensor network technology

Familiar

Martínez

Garcia-Rubio

2014

Journal of Ambient Intelligence and Smart Environments

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Why pervasive awareness and Ambient Intelligence are perceived by a great part of the academia and industry as a massive revolution in the short-term? In our best knowledge, a cornerstone of this thought is based on the fact that the ultimate nature of the smart environment paradigm is not in the technology itself, but on a people-centered approach. Perhaps, is in this apparently simple conception where precisely lies the boldness of this promising vision, which has been consolidated in recent years with the emerging proliferation of mobile, personal, portable, wearable and sensory computing: to reach everyone and everywhere. On the one hand, it touches our daily lives in a close manner, minimizing the required attention from the users, anticipating to their needs with the main intention of redefining our idea of Quality of Experience. On the other hand, this new wave impacts everywhere at both global and personal scales allowing expanded connectivity between devices and smart objects, in a dynamic and ubiquitous manner, as a natural extension of the physical world around us.According to the above, this doctoral dissertation focuses on contributing to the integration of software and networking engineering advances in the field of pervasive smart spaces and environment using sensor networks. This is founded on the convergence of some information technology and computer science paradigms, such as service and agent orientation, semantic technologies and knowledge management in the framework of pervasive computing and the Internet of Things. To this end, the nSOM (nano Service-Oriented Middleware) and nSOL (nano Semantics-Oriented Language) approaches are presented. Firstly, the nSOM proposal defines a service-oriented platform for the implementation, deployment and exposure of agentbased in-network services to the Internet cloud on heterogeneous sensor devices. Secondly, the nSOL solution enables an abstraction for supporting ubiquitous service composition based on semantic knowledge management. The integration of both contributions leads to the formal modelling and practical development of adaptive virtual sensor services for pervasive Ambient Intelligence ecosystems. This work includes also the related performance characterization of the resulting prototype according to several metrics such as code size, volatile memory footprint, CPU overhead, service time delay and battery lifetime. Main foundations and outcomes presented in this essay are contextualized in the following European Research Projects: µSWN (FP6 code: IST-034642), DiYSE (ITEA2 code: 08005) and LifeWear (ITEA2 code: 09026).

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Section: Services and Composition Methodologiesmentioning

confidence: 99%

Service architecting and dynamic composition in pervasive smart ecosystems for the internet of things based on sensor network technology

Familiar

Martínez

Garcia-Rubio

2014

Journal of Ambient Intelligence and Smart Environments

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“…Pervasive Service Computing is regarded as a Web service-centric solution to facilitate modern human everyday activities with the emphasis of service composition, building applications from services and controlling the execution of these applications [17].…”

Section: A Notions For Pervasive Service Compositionmentioning

confidence: 99%

Context-Aware Pervasive Service Composition

Zhou

Riekki

2010

2010 International Conference on Intelligent Systems, Modelling and Simulation

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Incorporating service composition and pervasive computing into managing user's complex everyday activities envisions the paradigm of Pervasive Service Composition for everyday life. Context-Aware Pervasive Service Composition (CAPSC) enables a pervasive system to provide a user with service compositions that are relevant to the user's context. Moreover, CAPSC enables composition applications that are flexible and adaptive to changes. To identify the nature of CAPSC and approach it, this paper investigates CAPSC requirements, categorizes context-aware pervasive service compositions, and designs CAPSC architecture. Terminology is given to Context-Aware Pervasive Service Composition and a design process for building CAPSC application is investigated. An analysis is given for examining the requirements of CAPSC architecture. CAPSC architecture is designed by taking into account contextaware peer coordination, context-aware process service adaptation, and context-aware utility service adaptation.

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“…Our previous work examined scenarios created in context of pervasive computing for envisioning future human everyday life and studied a generic user's activity model [40] [41]. This section analyzes requirements for Ontology-Driven Pervasive Service Composition.…”

Section: Requirement Analysismentioning

confidence: 99%

Ontology-Driven Pervasive Service Composition for Everyday Life

Zhou

Gilman

Riekki

et al. 2010

Lecture Notes in Computer Science

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Abstract. Incorporating service composition and pervasive computing into managing user's everyday activities gives rise to the paradigm of Pervasive Service Composition for everyday life. This paper presents a novel generic model for services supporting everyday activities. The resulting service composition consists of local services within service peers and services are executed as specified in peer coordination and service collaboration. We suggest a taskbased, pervasive, semantic, and P2P-based approach for service composition for everyday life. We first address these fundamental characteristics. We give terminologies related to service composition, pervasive computing, ontology, and Pervasive Service Composition. Secondly, we analyze requirements for describing everyday activities. To meet the requirements we design an initial ontology model for capturing user's everyday activity and accommodating peer coordination and service collaboration in Pervasive Service Composition. Finally, we classify existing approaches to Web service composition.

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Modeling Service Composition and Exploring its Characteristics

Cited by 6 publications

References 28 publications

Service architecting and dynamic composition in pervasive smart ecosystems for the internet of things based on sensor network technology

Service architecting and dynamic composition in pervasive smart ecosystems for the internet of things based on sensor network technology

Context-Aware Pervasive Service Composition

Ontology-Driven Pervasive Service Composition for Everyday Life

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