1
|
Ontologies in Cloud Computing—Review and Future Directions. FUTURE INTERNET 2021. [DOI: 10.3390/fi13120302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Cloud computing as a technology has the capacity to enhance cooperation, scalability, accessibility, and offers discount prospects using improved and effective computing, and this capability helps organizations to stay focused. Ontologies are used to model knowledge. Once knowledge is modeled, knowledge management systems can be used to search, match, visualize knowledge, and also infer new knowledge. Ontologies use semantic analysis to define information within an environment with interconnecting relationships between heterogeneous sets. This paper aims to provide a comprehensive review of the existing literature on ontology in cloud computing and defines the state of the art. We applied the systematic literature review (SLR) approach and identified 400 articles; 58 of the articles were selected after further selection based on set selection criteria, and 35 articles were considered relevant to the study. The study shows that four predominant areas of cloud computing—cloud security, cloud interoperability, cloud resources and service description, and cloud services discovery and selection—have attracted the attention of researchers as dominant areas where cloud ontologies have made great impact. The proposed methods in the literature applied 30 ontologies in the cloud domain, and five of the methods are still practiced in the legacy computing environment. From the analysis, it was found that several challenges exist, including those related to the application of ontologies to enhance business operations in the cloud and multi-cloud. Based on this review, the study summarizes some unresolved challenges and possible future directions for cloud ontology researchers.
Collapse
|
2
|
Pencheva E. An Approach to Self-Configuration of M2M Services. CYBERNETICS AND INFORMATION TECHNOLOGIES 2017. [DOI: 10.1515/cait-2017-0016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Abstract
The increased number of connected devices and Machine-to-Machine (M2M) applications becomes business and technical challenge for network operators. The complexity of connectivity challenge yields for appropriate connectivity management solutions. The explosion of M2M services may result in undesired service interaction. Despite of the considerable progress in service interaction management, there is a lack of knowledge on the kind of interaction in real M2M communication systems. In this paper, a method for service orchestration between M2M applications which add value to basic device connectivity management is proposed. The automatic resolving of service interaction using policies allows service self-configuration and provisioning of adaptive service continuity to end users.
Collapse
Affiliation(s)
- Evelina Pencheva
- Faculty of Telecommunications , Technical University of Sofia , 8 Kliment Ohridski Blvd., 1756 Sofia , Bulgaria
| |
Collapse
|