FIPA‐based reference architecture for efficient discovery and selection of appropriate cloud service using cloud ontology

Abstract

Cloud Computing (CC) is considered the latest emerging computing paradigm and has brought revolutionary changes in computing technology. With the advancement in this field, the number of cloud users and service providers is increasing continuously with more diversified services. Consequently, the selection of appropriate cloud service has become a difficult task for a new cloud customer. In case of inappropriate selection of a cloud services, a cloud customer may face the vendor locked-in issue and data portability interoperability problems. These are the major obstacles in the adoption of cloud services. To avoid these complexities, a cloud customer needs to select an appropriate cloud service at the initial stage of the migration to the cloud. Many researches have been proposed to overcome the issues but problems still exist in intercommunication standards among clouds and vendor locked-in issues. This research proposed an IEEE multi-agent FIPA (Foundation for Intelligent Physical Agent) compliance multi-agent reference architecture for cloud discovery and selection using cloud ontology. The proposed approach will mitigate the prevailing vendor locked-in issue and also alleviate the portability and interoperability problems in Cloud Computing. To evaluate the proposed reference architecture and compare it with the state-of-the-art existing approaches, several experiments have been performed by utilizing the commonly used performance measures. Analysis indicates that the proposed approach enables significant improvements in cloud service discovery and selection in terms of search efficiency, execution and response time.

A new SLA-aware method for discovering the cloud services using an improved nature-inspired optimization algorithm

“…We compare the CSD_IACO to the following three schemes. (1) ACO-inspired resource discovery method named ACOD ( Deng, Wang & Ciura, 2009 ) (2) Soft sets based symbiotic organisms search algorithm for resource discovery in cloud computing called SSSD ( Ezugwu & Adewumi, 2017 ) (3) FIPA-based architecture for the discovery of appropriate cloud service using cloud ontology named FIPA-CD ( Abbas et al, 2020 ).…”

“…Furthermore, an efficient multi-agent reference architecture and cloud ontology for cloud services discovery was proposed by Abbas et al (2020) . The proposed architecture addresses the vendor’s locked-in problem to some extent and mitigates the problems of portability and interoperability in the cloud environment.…”

Service discovery mechanisms in cloud computing: a comprehensive and systematic literature review

“…Besides, researchers can look at improving the discovery of cloud services and multicloud protection. (Abbas et al , 2020). The service registration, discovery and distribution operations must be conducted securely in an open scenario, and service availability must be ensured.…”

“…Finally, an efficient multi-agent reference architecture and cloud ontology for cloud discovery services were proposed by Abbas et al (2020). To some extent, the proposed architecture addresses the vendor's locked-in problem and mitigates the portability and interoperability issues in the cloud environment.…”

EAMA: Efficient Adaptive Migration Algorithm for Cloud Data Centers (CDCs)

“…These on-demand resources are based on pay-as-you-use. Organizations and individuals outsource Cloud services for the diverse nature of tasks that demand high-performance computing, large memory instances, licensed software applications, large-scale simulations [1] and development platforms, etc. Specifically, organizations prefer to outsource Cloud services rather than designing their own private data centers for their business needs due to the huge investment, maintenance, and management cost.…”