A UML Profile for the Service Discovery in the Enterprise Cloud Bus (ECB) Framework

Zahoor, Misbah; Azam, Farooque; Anwar, Muhammad Waseem; Yousaf, Nazish; Kashif, Muhammad

doi:10.1007/978-3-030-22354-0_25

Cited by 2 publications

(3 citation statements)

References 14 publications

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“…Also, Zahoor et al . (2019) presented a UML profile for service discovery in the enterprise cloud structure, including the overall process needed to model the system to view the system's complex behavior.…”

Section: Service Discovery Mechanismsmentioning

confidence: 92%

“…Also, Zahoor et al (2019) presented a UML profile for service discovery in the enterprise cloud structure, including the overall process needed to model the system to view the system's complex behavior. Their approach is designed to make it easier for users, designers and developers to understand and utilize the platform.…”

Section: Decentralized Mechanismmentioning

confidence: 99%

“…The time between the requests for a particular service and the corresponding answer is called response time, which is the first factor. Authentication, coding, encryption and authorization are included in the security component, which is the central part of the cloud (Zahoor et al , 2019; Angela Jennifa Sujana et al ., 2020; Jabraeil Jamali et al ., 2020a, b, c, d). The next factor is multiattribute queries, which have a collection of subqueries in which any subquery includes an attribute.…”

Section: Basic Concepts and Corresponding Terminologiesmentioning

confidence: 99%

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

Heidari

Navimipour

2021

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PurposeThe main goal of this paper is to study the cloud service discovery mechanisms. In this paper, the discovery mechanisms are ranked in three major classes: centralized, decentralized, and hybrid. Moreover, in this classification, the peer-to-peer (P2P) and agent-based mechanisms are considered the parts of the decentralized mechanism. This paper investigates the main improvements in these three main categories and outlines new challenges. Moreover, the other goals are analyzing the current challenges in a range of problem areas related to cloud discovery mechanisms and summarizing the discussed service discovery techniques.Design/methodology/approachSystematic literature review (SLR) is utilized to detect, evaluate and combine findings from related investigations. The SLR consists of two key stages in this paper: question formalization and article selection processes. The latter includes three steps: automated search, article selection and analysis of publication. These investigations solved one or more service discovery research issues and performed a general study of an experimental examination on cloud service discovery challenges.FindingsIn this paper, a parametric comparison of the discovery methods is suggested. It also demonstrates future directions and research opportunities for cloud service discovery. This survey will help researchers understand the advances made in cloud service discovery directly. Furthermore, the performed evaluations have shown that some criteria such as security, robustness and reliability attained low attention in the previous studies. The results also showed that the number of cloud service discovery–related articles rose significantly in 2020.Research limitations/implicationsThis research aimed to be comprehensive, but there were some constraints. The limitations that the authors have faced in this article are divided into three parts. Articles in which service discovery was not the primary purpose and their title did not include the related terms to cloud service discovery were also removed. Also, non-English articles and conference papers have not been reviewed. Besides, the local articles have not been considered.Practical implicationsOne of the most critical cloud computing topics is finding appropriate services depending on consumer demand in real-world scenarios. Effective discovery, finding and selection of relevant services are necessary to gain the best efficiency. Practitioners can thus readily understand various perspectives relevant to cloud service discovery mechanisms. This paper's findings will also benefit academicians and provide insights into future study areas in this field. Besides, the drawbacks and benefits of the analyzed mechanisms have been analyzed, which causes the development of more efficient and practical mechanisms for service discovery in cloud environments in the future.Originality/valueThis survey will assist academics and practical professionals directly in their understanding of developments in service discovery mechanisms. It is a unique paper investigating the current and important cloud discovery methods based on a logical categorization to the best of the authors’ knowledge.

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Section: Service Discovery Mechanismsmentioning

confidence: 92%

Section: Decentralized Mechanismmentioning

confidence: 99%