Application development powered by rapid, on-demand service composition

2007 ◽  
Author(s):  
Maja Vukovic ◽  
Evangelos Kotsovinos ◽  
Peter Robinson
Keyword(s):  
Service Composition ◽  
Application Development ◽  
On Demand ◽  
Demand Service

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.

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.

scholarly journals SEMANTIC CONTEXT-BASED ON-DEMAND SERVICE MODEL FOR LAND COVER CHANGE DETECTION

2019 ◽  
Vol XLII-4/W20 ◽  
pp. 97-100
Author(s):  
H. Q. Xing ◽  
D. Y. Hou
Keyword(s):  
Web Services ◽  
Land Cover ◽  
Land Cover Change ◽  
Service Composition ◽  
Social Benefit ◽  
Context Information ◽  
Service Model ◽  
Service Description ◽  
On Demand ◽  
Demand Service

Abstract. Land cover change (LCC) detection is widely used in many social-benefit areas, such as land cover updating, sustainable development and geographical situation monitoring. With the development of Web Services and cloud computing, a number of remote sensed algorithms and models have been published as web services. An on-demand service is urgent to be generated by compositing a sequence of atomic services, according to different situations. Context information plays an important role in automatic service composition. Traditional context information models mainly focus on service only, and ignore the relationships among users and services. To address this problem, we introduce the service context and user context into the context information. OWL-SC and OWL-UC are then proposed by extending the traditional service description model (i.e., OWL-S). Finally, a context-aware on-demand service model for LCC detection is built to realize service composition and optimization.

On-demand service composition based on natural language requests

2009 ◽  
Author(s):  
Florin-Claudiu Pop ◽  
Marcel Cremene ◽  
Mircea-Florin Vaida ◽  
Michel Riveill
Keyword(s):  
Natural Language ◽  
Service Composition ◽  
On Demand ◽  
Demand Service

Analysis Method of Dynamic Extensible Service Model Based on Petri-Net

2013 ◽  
Vol 765-767 ◽  
pp. 1618-1621
Author(s):  
Can Zhang ◽  
Jing Jiang ◽  
Cheng Fan ◽  
Jie Sun ◽  
Rui Min Yang
Keyword(s):  
Petri Net ◽  
Service Composition ◽  
Dynamic Change ◽  
Network Environment ◽  
Analysis Method ◽  
Service Model ◽  
On Demand ◽  
Model Based ◽  
Demand Service

It is a big challenge to realize the dynamic change of the network environment and users demands. A dynamic application customization and extensible service composition model is proposed in this paper. In order to guarantee the rationality of the service composition, the composition model of on-demand service that based on Petri net is proposed. Then the model is analyzed to validate whether the service composition can achieve the desired target. Finally, the result shows that the model can guarantee the correctness of extensible service, validate the rationality and effectiveness of the method.

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