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

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Arash Heidari ◽  
Nima Jafari Navimipour
Keyword(s):  
Cloud Computing ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Service Discovery ◽  
Cloud Service ◽  
Research Issues ◽  
Content Type ◽  
Discovery Research ◽  
English Articles ◽  
Cloud Service Discovery

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.

On the Use of Similarity or Query Languages in Cloud Discovery Based on Ontology

2017 ◽  
Vol 8 (3) ◽  
pp. 60-78 ◽  
Author(s):  
Rawand Guerfel ◽  
Zohra Sbaï ◽  
Rahma Ben Ayed
Keyword(s):  
Cloud Computing ◽  
Search Engine ◽  
Service Discovery ◽  
Cloud Service ◽  
Query Languages ◽  
Cloud Service Discovery ◽  
Required Service

Cloud computing is increasingly used so that the number of providers offering services is rapidly increasing. Thus, a need to organize these services and to express relations between them arises. To answer this need, ontologies are used. To query these services, the authors use query languages, such as SPARQL, that return two types of results: either a list of required services, or an empty list. However, the second result is not desired. In fact, if the required service is not available, users want to be offered by a list of similar ones instead of the empty list. It is in this sense that the similarity, which provides more results ranked according to their utilities, is used. This paper first presents the Cloud ontology on which the authors' work is based. It then defines and compares between two Cloud service discovery methods which are: the discovery based on query languages and the discovery based on similarity. To show the efficiency of the search based on similarity, the authors propose a search engine that allows the users to query services using a simple to use interface.

scholarly journals Structural equation modeling in cloud computing studies: a systematic literature review

Kybernetes ◽  
2019 ◽  
Vol 49 (3) ◽  
pp. 982-1019
Author(s):  
Erhan Pişirir ◽  
Erkan Uçar ◽  
Oumout Chouseinoglou ◽  
Cüneyt Sevgi
Keyword(s):  
Cloud Computing ◽  
Structural Equation Modeling ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Structural Equation ◽  
Security And Privacy ◽  
Equation Modeling ◽  
Content Type ◽  
Current State ◽  
Sem Studies

Purpose This study aims to examine the current state of literature on structural equation modeling (SEM) studies in “cloud computing” domain with respect to study domains of research studies, theories and frameworks they use and SEM models they design. Design/methodology/approach Systematic literature review (SLR) protocol is followed. In total, 96 cloud computing studies from 2009 to June 2018 that used SEM obtained from four databases are selected, and relevant data are extracted to answer the research questions. Findings A trend of increasing SEM usage over years in cloud studies is observed, where technology adoption studies are found to be more common than the use studies. Articles appear under four main domains, namely, business, personal use, education and health care. Technology acceptance model (TAM) is found to be the most commonly used theory. Adoption, intention to use and actual usage are the most common selections for dependent variables in SEM models, whereas security and privacy concerns, costs, ease of use, risks and usefulness are the most common selections for causal factors. Originality/value Previous cloud computing SLR studies did not focus on statistical analysis method used in primary studies. This review will display the current state of SEM studies in cloud domain for all future academics and practical professionals.

Service Discovery Architecture Applied in Cloud Computing Environments

2012 ◽  
Vol 241-244 ◽  
pp. 3177-3183
Author(s):  
Jie Zhang ◽  
Li Wen He ◽  
Fei Yi Huang ◽  
Bin Liu
Keyword(s):  
Mathematical Modeling ◽  
Cloud Computing ◽  
Service Discovery ◽  
Main Idea ◽  
Cloud Service ◽  
Cloud Services ◽  
Computing Environments ◽  
Performance Analyses ◽  
Theoretical Analyses ◽  
Cloud Service Discovery

This paper proposed a service discovery architecture (SDA) that can be applied in cloud computing environments. This architecture supports common service discovery capabilities to achieve cloud service discovery function in cloud computing environments. The main idea is that, cloud services can be divided into different cloud service domains (CSD) according to the characteristics of the functions of cloud services, each CSD has a sub-service directory, and there is also a root service directory above all sub-service directories. Setting of two-level service directories can achieve the most suitable massive cloud services quickly. Finally, through mathematical modeling, theoretical analyses, and numerical simulations, the performance analyses of the architecture are studied. The results show the validity and advantages of the SDA.

Toward a Unified Ontology of Cloud Computing

2012 ◽  
Vol 3 (2) ◽  
pp. 271-274 ◽  
Author(s):  
Gagan Singh ◽  
Nimrat Kaur ◽  
Manpreet Kaur
Keyword(s):  
Cloud Computing ◽  
Service Discovery ◽  
Cloud Service ◽  
Cloud Services ◽  
Internet Applications ◽  
Discovery System ◽  
User Query ◽  
Ontological Model ◽  
Job Site ◽  
Cloud Service Discovery

The emergences of cloud computing deals in various internet applications developers for hosting various applications which users are in need in this day to day life.the idea is cloud ontology for easy Selection, Publication and Discovery in cloud services. Query Processing Agent, Ontological Similarities.In this paper, purposal is an cloud service discovery system with ontological model, in order to solve,for example: A job site, It’s not an ordinary jobsite but focusing and specializing in matching the users or clients queries related to jobs and displaying the information even by giving options of updating their information which is needed for this Job Domain. This paper implements the cloud ontology technique to make cloud service discovery system efficient for user query in job site. The aim of this paper is to determine how the CSDS with the Cloud ontology achieved better performance than the CSDS without the Cloud ontology. By consulting a Cloud ontology to reason and to rating about the relations among Cloud services, the CSDS is more successful in locating Cloud services and more likely to discover Cloud services that meet consumers‟ requirements.

Analysing the adoption of cloud computing service: a systematic literature review

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mahak Sharma ◽  
Ruchita Gupta ◽  
Padmanav Acharya
Keyword(s):  
Cloud Computing ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Cloud Services ◽  
Future Research ◽  
Causal Relationships ◽  
Critical Factors ◽  
Content Type ◽  
Cloud Computing Service ◽  
Depth Analysis

Purpose The purpose of this paper is to presents an analysis of geographically and disciplinary scattered academic publications of cloud computing (CC) research in information systems. This review aims to understand the research methodology, research frameworks and models, geographical distribution, trends, critical factors and causal relationships associated with cloud computing adoption (CCA). Design/methodology/approach Systematic-literature-review using natural language processing is conducted to explore the phenomenon. The relevant research studies are extracted from various online databases using quality-assessment-criteria. Findings The study is a novel attempt to highlight the differences in critical factors for CCA in different country-settings. Further, the research explores the causal relationships among the identified factors. The findings of this 12-year systematic-review contribute by aiding the providers and potential adopters to devise context-specific strategies for the penetration of cloud services and sound adoption decisions (ADs), respectively. The findings also highlight the prospective avenues of research in the domain for researchers. Using the in-depth analysis, conceptual frameworks have been proposed that can assist in exploring the pre-adoption and post-adoption of CC. Originality/value This study contributes to CCA research by providing holistic insights into the methodology, research framework and models, geographical focus, critical factors and causal relationships influencing the AD or intention. The review highlights the unexplored emerging research topics in the field of CCA for future research directions.

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

2021 ◽  
Vol 7 ◽  
pp. e539
Author(s):  
Arash Heidari ◽  
Nima Jafari Navimipour
Keyword(s):  
Cloud Computing ◽  
Ant Colony Optimization ◽  
Service Discovery ◽  
Cloud Service ◽  
Network Size ◽  
Cloud Services ◽  
Ant Colony ◽  
Cloud Environment ◽  
Cloud Environments ◽  
Cloud Service Discovery

Cloud computing is one of the most important computing patterns that use a pay-as-you-go manner to process data and execute applications. Therefore, numerous enterprises are migrating their applications to cloud environments. Not only do intensive applications deal with enormous quantities of data, but they also demonstrate compute-intensive properties very frequently. The dynamicity, coupled with the ambiguity between marketed resources and resource requirement queries from users, remains important issues that hamper efficient discovery in a cloud environment. Cloud service discovery becomes a complex problem because of the increase in network size and complexity. Complexity and network size keep increasing dynamically, making it a complex NP-hard problem that requires effective service discovery approaches. One of the most famous cloud service discovery methods is the Ant Colony Optimization (ACO) algorithm; however, it suffers from a load balancing problem among the discovered nodes. If the workload balance is inefficient, it limits the use of resources. This paper solved this problem by applying an Inverted Ant Colony Optimization (IACO) algorithm for load-aware service discovery in cloud computing. The IACO considers the pheromones’ repulsion instead of attraction. We design a model for service discovery in the cloud environment to overcome the traditional shortcomings. Numerical results demonstrate that the proposed mechanism can obtain an efficient service discovery method. The algorithm is simulated using a CloudSim simulator, and the result shows better performance. Reducing energy consumption, mitigate response time, and better Service Level Agreement (SLA) violation in the cloud environments are the advantages of the proposed method.

Integrating cloud computing in supply chain processes

2015 ◽  
Vol 28 (6) ◽  
pp. 872-904 ◽  
Author(s):  
Andreas Jede ◽  
Frank Teuteberg
Keyword(s):  
Cloud Computing ◽  
Supply Chain ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Deep Understanding ◽  
Theory And Practice ◽  
Future Research ◽  
Geographical Differences ◽  
Content Type ◽  
Research Perspectives

Purpose – There are cloud computing (CC) services available for various applications within supply chain management (SCM) processes and related enterprise information systems (ISs). These services offer, for example, consistent global networking platforms and shared real-time information. Furthermore, they enable quick decision making and ensure efficiency, which may strengthen competitive advantages as to digital processes within the supply chain (SC). However, research lacks a paper that systematically analyzes the interrelation between CC and SCM in detail and aims to become a reference point in the intersection of both research fields. Moreover, the purpose of this paper is to gain a deep understanding of the current state of research and to identify future research challenges. Design/methodology/approach – This paper provides a cross-discipline systematic literature review from the research perspectives of ISs and SCM. In total, 99 papers have been investigated by combining qualitative and quantitative content analysis. As a side effect the authors developed a new methodological framework for conducting comprehensive literature reviews that could be applied by future research. Finding – The authors discover the most important influence factors for CC implementations in SC processes and pay special attention to major issues, research methods, applied theoretical concepts, and geographical differences. Until now, SCM research in the realm of CC usage is still in its infancy both in theory and practice. Research limitations/implications – Possibly not all of the relevant papers have been filtered during the paper selection phase. The findings of the literature review and the conceptual framework identifying different areas of concern are believed to be useful for future research to obtain an overview of the evolution of CC in SC processes. Originality/value – To the best of the knowledge, there is no systematic literature review that consistently focusses CC usage within SC processes while integrating strategic aspects. Additionally, the authors constructed and applied a unique keyword analysis.

Leadership and organizational learning culture: a systematic literature review

2019 ◽  
Vol 43 (1/2) ◽  
pp. 76-104 ◽  
Author(s):  
Lei Xie
Keyword(s):  
Organizational Learning ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Learning Culture ◽  
Future Research ◽  
Holistic View ◽  
Content Type ◽  
Organizational Learning Culture ◽  
English Articles ◽  
The Relationship

PurposeThis paper aims to investigate how the relationship between leadership and organizational learning culture (OLC)/learning organization (LO)/organizational learning (OL) is measured in the literature.Design/methodology/approachThis systematic literature review analyzes published peer-reviewed English articles that examine the relationship between leadership and OLC/LO/OL empirically. A total of 58 articles has been found in 42 journals.FindingsThis paper provides a holistic view of the types of leaderships that have been connected with OLC/LO/OL in various countries and industries. Research methods from the literature are also examined.Originality/valueIt is among the first studies to review the literature about the connection between leadership and OLC/LO/OL. This review offers constructive future research directions.

Future research avenues of cost of quality: a systematic literature review

2020 ◽  
Vol 32 (6) ◽  
pp. 1599-1622 ◽  
Author(s):  
Christina Dimitrantzou ◽  
Evangelos Psomas ◽  
Fotios Vouzas
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Future Research ◽  
Journal Articles ◽  
Content Type ◽  
Cost Of Quality ◽  
Research Perspectives ◽  
The Future ◽  
English Articles ◽  
Practical Implications

PurposeThe purpose of this paper is to identify the future research suggestions which have been made by several authors with regard to cost of quality (CoQ) and to group them into respective themes.Design/methodology/approachThis study was based on a systematic literature review (SLR) of 97 peer-reviewed journal articles in the field of CoQ published in well-known academic databases, such as Emerald, Elsevier, SpringerLink, Taylor & Francis, Wiley and Scopus. The time horizon for reviewing the literature was 9 years, particularly in the period between 2010 and 2018. The “Affinity diagram” was applied to group the future research suggestions into logical themes and the “Pareto diagram” to further categorize and prioritize these themes.FindingsA plethora of future research suggestions identified in the literature are analytically presented. Moreover, the analysis showed that the future research suggestions in the field of CoQ can be grouped under eleven meaningful themes, which are further categorized into two broad categories, meaning the vital and the useful.Research limitations/implicationsThis SLR was based on only fully accessed English articles published in international, peer-reviewed journals of the selected publishers. The restricted number of keywords used and the subjectivity in applying the “affinity diagram” are also limitations of this study.Practical implicationsThis paper provides insights into the future research perspectives in the field of CoQ. Thus, this analysis can serve as a resource for both researchers and practitioners to further develop this area according to the future research suggestions and the respective themes revealed.Originality/valueTo the best of the authors' knowledge, this is the first SLR presenting and analyzing the future research suggestions of CoQ.

scholarly journals Cloud Computing Services: Taxonomy of Discovery Approaches and Extraction Solutions

Symmetry ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 1354
Author(s):  
Fathey Mohammed ◽  
Abdullah Marish Ali ◽  
Abdullah Saad Al-Malaise Al-Ghamdi ◽  
Fawaz Alsolami ◽  
Siti Mariyam Shamsuddin ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Service Discovery ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Services ◽  
Diverse Range ◽  
Computing Services ◽  
Heterogeneous Features ◽  
Cloud Computing Services ◽  
Cloud Service Discovery

Cloud computing offers new features of sharing resources and applications to meet users’ computing requirements. It is a model by which the users can access computing resources as services offered on the Internet (cloud services). Cloud service providers offer a highly diverse range of asymmetric cloud services with heterogeneous features, which makes it difficult for the users to find the best service that fits his needs. Many research studies have been done on cloud service discovery, and several models and solutions that applied different techniques have been proposed. This paper aims at presenting the state of the art in the area of cloud services discovery by exploring the current approaches, techniques, and models. Furthermore, it proposes a taxonomy of cloud service discovery approaches. An integrative review approach was used to explore the related literature. Then, by analyzing the existing cloud service discovery solutions, a taxonomy of discovery approaches was suggested based on several perspectives including the discovery environment and the discovery process methods. The proposed taxonomy allows easily classifying and comparing cloud services discovery solutions. Moreover, it may reveal issues and gaps for further research and expose new insights for more innovative and effective cloud services discovery solutions.

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