Planning and execution of heterogeneous service compositions

2017 ◽  
Author(s):  
Alexis Huf ◽  
Ivan Salvadori ◽  
Frank Siqueira
Keyword(s):  
Heterogeneous Service

Hierarchical Optimization of Network Resource for Heterogeneous Service in Cloud Scenarios

2018 ◽  
pp. -1--1
Author(s):  
Dong Huang ◽  
Yong Bai ◽  
Jingcheng Liu ◽  
Hongtao Chen ◽  
Jinghua Lin ◽  
...  
Keyword(s):  
Hierarchical Optimization ◽  
Network Resource ◽  
Heterogeneous Service

scholarly journals M^x/G/1FEEDBACK QUEUE WITH THREE STAGE HETEROGENEOUS SERVICE, MULTIPLE ADAPTIVE VACATION AND CLOSED DOWN TIMES

10.26524/krj4 ◽  
2014 ◽  
Vol 1 (1) ◽  
pp. 11-22
Author(s):  
Ganesh Sivakumar J ◽  
Ramesh kumar E ◽  
Nithyananthan A
Keyword(s):  
Heterogeneous Service

Hierarchical Optimization of Network Resource for Heterogeneous Service in Cloud Scenarios

2017 ◽  
pp. 1-6
Author(s):  
Dong Huang ◽  
Yong Bai ◽  
Jingcheng Liu ◽  
Hongtao Chen ◽  
Jinghua Lin ◽  
...  
Keyword(s):  
Hierarchical Optimization ◽  
Network Resource ◽  
Heterogeneous Service

Application of the FUSION Approach for Tool Assisted Composition of Web Services in Cross Organisational Environments

2010 ◽  
pp. 628-643
Author(s):  
Spiros Alexakis ◽  
Markus Bauer ◽  
András Balogh ◽  
Akos Kiss
Keyword(s):  
Web Services ◽  
System Architecture ◽  
Business Processes ◽  
Building Blocks ◽  
Enterprise Application Integration ◽  
Enterprise Application ◽  
Business Applications ◽  
Service Oriented ◽  
Heterogeneous Service ◽  
Fusion Approach

The research project FUSION aims at supporting collaboration and interconnection between enterprises with technologies that allow for the semantic fusion of heterogeneous service-oriented business applications. The resulting FUSION approach is an enterprise application integration (EAI) conceptual framework proposing a system architecture that supports the composition of business processes using semantically annotated Web services as building blocks. The approach has been validated in the frame of three collaborative commercial proof-of-concept pilots. The chapter provides an overview on the FUSION approach and summarises our integration experiences with the application of the FUSION approach and tools during the implementation of transnational career and human resource management services.

Application of the FUSION Approach for Tool Assisted Composition of Web Services in Cross Organisational Environments

2010 ◽  
pp. 212-227
Author(s):  
Spiros Alexakis ◽  
Markus Bauer ◽  
András Balogh ◽  
Akos Kiss
Keyword(s):  
Web Services ◽  
System Architecture ◽  
Business Processes ◽  
Building Blocks ◽  
Enterprise Application Integration ◽  
Enterprise Application ◽  
Business Applications ◽  
Service Oriented ◽  
Heterogeneous Service ◽  
Fusion Approach

The research project FUSION aims at supporting collaboration and interconnection between enterprises with technologies that allow for the semantic fusion of heterogeneous service-oriented business applications. The resulting FUSION approach is an enterprise application integration (EAI) conceptual framework proposing a system architecture that supports the composition of business processes using semantically annotated Web services as building blocks. The approach has been validated in the frame of three collaborative commercial proof-of-concept pilots. The chapter provides an overview on the FUSION approach and summarises our integration experiences with the application of the FUSION approach and tools during the implementation of transnational career and human resource management services.

Challenges of the "Global Understanding Environment" Based on Agent Mobility

2011 ◽  
pp. 121-152 ◽  
Author(s):  
Vagan Terziyan
Keyword(s):  
Condition Monitoring ◽  
Trust Management ◽  
Local Environment ◽  
Mobile Service ◽  
Service Component ◽  
Agent Platform ◽  
Global Understanding ◽  
Service Components ◽  
Component Carrier ◽  
Heterogeneous Service

Among traditional users of Web resources, industry also has a growing set of smart industrial devices with embedded intelligence. Just as humans do, smart industrial devices need online services—for example, for condition monitoring, remote diagnostics, maintenance, and so on. In this chapter, we present one possible implementation framework for such Web services. Assume that such services should be Semantic-Web-enabled and form a service network based on internal and external agents’ platforms, which can host heterogeneous mobile agents and coordinate them to perform needed tasks. The concept of a “mobile-service component” assumes not only the exchange of queries and service responses but also the delivery and composition of a service provider itself. A mobile-service component carrier (agent) can move to a field device’s local environment (embedded agent platform) and perform its activities locally. Service components improve their performance through online learning and communication with other components. Heterogeneous service components’ discovery is based on semantic P2P search. In this chapter, we discuss the Global Understanding Environment as an enabling agent-driven semantic platform for implementation of the heterogeneous industrial resources, condition monitoring, and predictive maintenance. The main challenges of such an environment are presented, which are “semantic adapters” for industrial objects, diagnostic models, exchange and integration, distributed trust management, and the concept of a human as a Web service.

Semantic Web Services for Smart Devices Based on Mobile Agents

2009 ◽  
pp. 630-641 ◽  
Author(s):  
Vagan Terziyan
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Mobile Agents ◽  
Local Environment ◽  
Mobile Service ◽  
Service Component ◽  
Agent Platform ◽  
Service Components ◽  
Component Carrier ◽  
Heterogeneous Service

Among traditional users of Web resources, industry has a growing set of smart industrial devices with embedded intelligence. Just like humans, they need online services (i.e., for condition monitoring, remote diagnostics, maintenance, etc.). In this paper, we present one possible implementation framework for such Web services. Such services should be Semantic Web enabled and form a Service Network based on internal and external agents’ platforms, which can host heterogeneous mobile agents and coordinate them to perform needed tasks. The concept of a “mobile service component” assumes not only exchanging queries and service responses, but also delivering and composition of a service provider. Mobile service component carrier (agent) can move to a field device’s local environment (embedded agent platform) and perform its activities locally. Service components improve their performance through online learning and communication with other components. Heterogeneous service components’ discovery is based on semantic P2P search.

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