Service Mining for Trusted Service Composition in Cross-Cloud Environment

2017 ◽  
Vol 11 (1) ◽  
pp. 283-294 ◽  
Author(s):  
Taotao Wu ◽  
Wanchun Dou ◽  
Chunhua Hu ◽  
Jinjun Chen
Keyword(s):  
Service Composition ◽  
Cloud Environment

Ontology-Based Human-Computer Cloud for Decision Support

2021 ◽  
pp. 410-430
Author(s):  
Alexander Smirnov ◽  
Andrew Ponomarev ◽  
Nikolay Shilov ◽  
Alexey Kashevnik ◽  
Nikolay Teslya
Keyword(s):  
Information Processing ◽  
Decision Support ◽  
Service Composition ◽  
Support Services ◽  
Smart City ◽  
Ad Hoc ◽  
The Novel ◽  
Cloud Environment ◽  
Automatic Service Composition ◽  
Layer Cloud

A variety of information processing and decision support tasks (especially in the context of smart city or smart tourist destination) rely both on the automated and human-based procedures. The article proposes a multi-layer cloud environment that, first, unifies various kinds of resources used by these information processing and decision-support scenarios (hardware, software, and human), and second, implements an ontology-based automatic service composition procedures that can be used to build ad hoc decision-support services for problems unknown in advance. The service composition is based on uniform description of all parts of the environment with a help of ontologies. The article describes the architecture and models of the novel human-computer cloud environment. It also describes several scenarios of decision support in tourism leveraging the proposed human-computer cloud concept.

scholarly journals A Behavior Based Trustworthy Service Composition Discovery Approach in Cloud Environment

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 56492-56503 ◽  
Author(s):  
Shanchen Pang ◽  
Qian Gao ◽  
Ting Liu ◽  
Hua He ◽  
Guangquan Xu ◽  
...  
Keyword(s):  
Service Composition ◽  
Cloud Environment ◽  
Behavior Based ◽  
Trustworthy Service

Pattern-Based Cloud Migration

2021 ◽  
pp. 1346-1372
Author(s):  
Zhitao Wan
Keyword(s):  
Service Composition ◽  
Service Selection ◽  
Cloud Service ◽  
Pattern Generation ◽  
Migration Pattern ◽  
Cloud Services ◽  
Legacy Systems ◽  
Cloud Environment ◽  
Business Systems ◽  
Cloud Migration

To migrate on-premises business systems to the cloud environment faces challenges: the complexity, diversity of the legacy systems, cloud, and cloud migration services. Consequently, the cloud migration faces two major problems. The first one is how to select cloud services for the legacy systems, and the second one is how to move the corresponding workload from legacy systems to cloud. This chapter presents a total cloud migration solution including cloud service selection and optimization, cloud migration pattern generation, and cloud migration pattern enforcement. It takes the pattern as the core, and unifies the cloud migration request, the cloud migration service pattern, and the cloud migration service composition. A cloud migration example of blockchain system shows that the proposed approach improves the cloud service selection, cloud migration service composition generation efficiency, migration process parallelization, and enables long transaction support by means of pattern reuse.

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