Cloud Architecture for Dynamic Service Composition

2012 ◽  
Vol 4 (2) ◽  
pp. 17-31 ◽  
Author(s):  
Jiehan Zhou ◽  
Kumaripaba Athukorala ◽  
Ekaterina Gilman ◽  
Jukka Riekki ◽  
Mika Ylianttila
Keyword(s):  
Service Composition ◽  
Service Discovery ◽  
Service Computing ◽  
Cloud Architecture ◽  
On Demand ◽  
Dynamic Service Composition ◽  
Pervasive Service ◽  
Computing Environments ◽  
Computational Resources ◽  
Demand Service

Service composition provides value-adding services through composing basic Web services, which may be provided by various organizations. Cloud computing presents an efficient managerial, on-demand, and scalable way to integrate computational resources (hardware, platform, and software). However, existing Cloud architecture lacks the layer of middleware to enable dynamic service composition. To enable and accelerate on-demand service composition, the authors explore the paradigm of dynamic service composition in the Cloud for Pervasive Service Computing environments and propose a Cloud-based Middleware for Dynamic Service Composition (CM4SC). In this approach, the authors introduce the CM4SC ‘Composition as a Service’ middleware layer into conventional Cloud architecture to allow automatic composition planning, service discovery and service composition. The authors implement the CM4SC middleware prototype utilizing Windows Azure Cloud platform. The prototype demonstrates the feasibility of CM4SC for accelerating dynamic service composition and that the CM4SC middleware-accelerated Cloud architecture offers a novel way for realizing dynamic service composition.

Secure and Private Service Discovery in Pervasive Computing Environments

2010 ◽  
Vol 2 (3) ◽  
pp. 46-59
Author(s):  
Feng Zhu ◽  
Wei Zhu
Keyword(s):  
Pervasive Computing ◽  
Service Discovery ◽  
Service Providers ◽  
Code Word ◽  
Sensitive Information ◽  
Word Form ◽  
Essential Step ◽  
Pervasive Service ◽  
Computing Environments ◽  
User Centric

With the convergence of embedded computers and wireless communication, pervasive computing has become the inevitable future of computing. Every year, billions of computing devices are built. They are ubiquitously deployed and are gracefully integrated with people and their environments. Service discovery is an essential step for the devices to properly discover, configure, and communicate with each other. Authentication for pervasive service discovery is difficult. In this chapter, we introduce a user-centric service discovery model, called PrudentExposure, which automates authentication processes. It encodes hundreds of authentication messages in a novel code word form. Perhaps the most serious challenge for pervasive service discovery is the integration of computing devices with people. A critical privacy challenge can be expressed as a “chicken-andegg problem”: both users and service providers want the other parties to expose sensitive information first. We discuss how a progressive and probabilistic model can protect both users’ and service providers’ privacy.

DYNAMIC SERVICE COMPOSITION: A DISCOVERY-BASED APPROACH

2008 ◽  
Vol 18 (02) ◽  
pp. 199-222 ◽  
Author(s):  
JONATHAN LEE ◽  
SHANG-PIN MA ◽  
YING-YAN LIN ◽  
SHIN-JIE LEE ◽  
YAO-CHIANG WANG
Keyword(s):  
Service Composition ◽  
Service Discovery ◽  
Main Trend ◽  
Service Availability ◽  
Composite Service ◽  
Composite Pattern ◽  
Contract Net ◽  
Dynamic Service Composition ◽  
Service Oriented ◽  
Composite Services

Service-Orientated Computing (SOC) has become a main trend in software engineering that promotes the construction of applications based on the notion of services. SOC has recently attracted the researchers' attention and has been adopted industry-wide. However, service composition that enables one to aggregate existing services into a new composite service is still a highly complex and critical task in service-oriented technology. To enhance availability of composite services, we propose a discovery-based service composition framework to better integrate component services in both static and dynamic manner, including (1) to devise a notion of service availability especially for composition; (2) to develop a dynamic service composition (DSC) pattern for addressing the issues of service availability; and (3) to extend Contract Net Protocol (ECNP) to coordinate service discovery, composition and invocation based on the composite pattern. The main benefit of the proposed approach is better availability through attaching multiple candidate services for future binding.

An architecture for rapid, on-demand service composition

2007 ◽  
Vol 1 (4) ◽  
pp. 197-212 ◽  
Author(s):  
Maja Vuković ◽  
Evangelos Kotsovinos ◽  
Peter Robinson
Keyword(s):  
Service Composition ◽  
On Demand ◽  
Demand Service

scholarly journals Natural Language based On-demand Service Composition

2010 ◽  
Vol 5 (5) ◽  
pp. 871 ◽  
Author(s):  
Florin-Claudiu Pop ◽  
Marcel Cremene ◽  
Mircea Vaida ◽  
Michel Riveill ◽  
Jean-Yves Tigli ◽  
...  
Keyword(s):  
Web Services ◽  
Natural Language ◽  
Service Composition ◽  
A Priori ◽  
Composite Service ◽  
On Demand ◽  
User Request ◽  
Semantic Concepts ◽  
Service Configuration ◽  
Demand Service

The widespread of Web services in the ubiquitous computing era and the impossibility to predict a priori all possible user needs generates the necessity for on-demand service composition. Natural language is one of the the easiest ways for a user to express what he expects regarding a service. Two main problems need to be solved in order to create a composite service to satisfy the user: a)retrieval of relevant services and b) orchestration/composition of the selected services in order to fulfill the user request. We solve the first problem by using semantic concepts associated with the services and we define a conceptual distance to measure the similarity between the user request and a service configuration. Retrieved services are composed, based on aspect oriented templates called Aspects of Assembly. We have tested our application in an environment for pervasive computing called Ubiquarium, where our system composes a service according to the user request described by a sentence. The implementation is based on the WComp middleware that enables us to use regular Web services but also Web services for devices.

Secure and Private Service Discovery in Pervasive Computing Environments

2011 ◽  
pp. 229-243
Author(s):  
Feng Zhu ◽  
Wei Zhu
Keyword(s):  
Pervasive Computing ◽  
Service Discovery ◽  
Service Providers ◽  
Code Word ◽  
Sensitive Information ◽  
Word Form ◽  
Essential Step ◽  
Pervasive Service ◽  
Computing Environments ◽  
User Centric

With the convergence of embedded computers and wireless communication, pervasive computing has become the inevitable future of computing. Every year, billions of computing devices are built. They are ubiquitously deployed and are gracefully integrated with people and their environments. Service discovery is an essential step for the devices to properly discover, configure, and communicate with each other. Authentication for pervasive service discovery is difficult. In this chapter, we introduce a user-centric service discovery model, called PrudentExposure, which automates authentication processes. It encodes hundreds of authentication messages in a novel code word form. Perhaps the most serious challenge for pervasive service discovery is the integration of computing devices with people. A critical privacy challenge can be expressed as a “chicken-and-egg problem”: both users and service providers want the other parties to expose sensitive information first. We discuss how a progressive and probabilistic model can protect both users’ and service providers’ privacy.

Ontology-Based Service Description, Discovery, and Matching in Distributed Embedded Real-Time Systems

2013 ◽  
pp. 178-190
Author(s):  
Muhammad Waqar Aziz ◽  
Radziah Mohamad ◽  
Dayang N. A. Jawawi
Keyword(s):  
Real Time ◽  
Service Composition ◽  
Service Discovery ◽  
Real Time Systems ◽  
Service Description ◽  
Dynamic Service Composition ◽  
Matching Mechanism ◽  
Composition Process ◽  
Time Systems ◽  
Effective Service

The service composition process depends on effective service discovery, matching, and selection. Although, service discovery and matching has been thoroughly researched for software services, an effective service discovery and matching mechanism is needed for services representing device functionality. In this chapter, an ontology-based service description method and service discovery and matching mechanism is proposed for Distributed Embedded Real-Time Systems (DERTS). For service description, the existing ontology specification OWL-S is modified to make it suitable for DERTS. The proposed mechanism was applied to a scenario of Smart Home case study for testing. The proposed service description method and discovery and matching mechanism set foundations can be used for the dynamic service composition in DERTS and in any ubiquitous environment.

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