Enterprise cloud service architectures

Wang, Heyong; He, Wu; Wang, Feng-Kwei

doi:10.1007/s10799-012-0139-4

Cited by 70 publications

(38 citation statements)

References 62 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Transportation system Chung et al (2012) Music composition Alvaro and Barros (2012) Farm management Kaloxylos et al (2013) Healthcare Fabian et al (2014), Fortino et al (2014) Urban management Khan et al (2012) E-learning system Ros et al (2014) Construction sector Beach et al (2013) Vehicular computing Whaiduzzaman et al (2013), Vasilakos et al (1998) Video streaming Luo et al (2012) Forensic Thorpe et al (2013) E-government Ramanathan et al (2011) E-commerce Yao et al (2013) Cyber physical system Dukaric and Juric (2012) Enterprise cloud service Colombo-Mendoza et al (2014) Mobile application Heyong Wang et al (2012) …”

Section: Application Domains Referencementioning

confidence: 99%

Systematic survey on evolution of cloud architectures

Bhushan

Reddy

Subramanian

et al. 2018

IJAACS

View full text Add to dashboard Cite

Cloud architectures are becoming an active area of research. The quality and durability of a software system are defined by its architecture. The architecture approaches that are used to build cloud-based systems are not available in a blended fashion to achieve an effective universal architecture solution. The paper aims to contribute to the systematic literature review (SLR) to assist researchers who are striving to contribute in this area. The main objective of this review is to systematically identify and analyse the recently published research topics related to software architecture for cloud with regard to research activity, used tools and techniques, proposed approaches, domains. The applied method is SLR based on four selected electronic databases proposed by (Kitchenham and Charters, 2007). Out of 400 classified publications, we regard 121 as relevant for our research domain. We outline taxonomy of their topics and domains, provide lists of used methods and proposed approaches. At present, there is little research coverage on software architectures for cloud, while other disciplines have become more active. The future work is to develop a secure architecture to achieve quality of service and service level agreements.

show abstract

Section: Application Domains Referencementioning

confidence: 99%

Systematic survey on evolution of cloud architectures

Bhushan

Reddy

Subramanian

et al. 2018

IJAACS

View full text Add to dashboard Cite

show abstract

“…As a new computing paradigm, cloud computing has received a lot of attention from enterprises and has being integrated or applied to enterprise architectures. Wang H, He W and Wang F-K [15] identify research trends and opportunities for researchers and practitioners in this field developing rapidly. …”

Section: Academic Communitiesmentioning

confidence: 99%

Mapping Intellectual Structures and Dynamics of Detecting Research Fronts Domain

Wang¹

2017

IJEFM

View full text Add to dashboard Cite

Abstract:To date, very few research has been taken to quantitatively visualize the intellectual evolution of the field of detecting research fronts. Based on literature-searching analysis from the Thomson Reuters Web of Science as well as scientometrics mapping analysis, this important research topic is analyzed by techniques from informetric and bibliometric domains to detect its intellectual structures and dynamics. After data reduction and clean-up, 1841 articles published from 1991 to 2016 are downloaded, and two network analyses are conducted: a bibliometric approach (i.e. co-occurrence and co-citation network) and a complex network approach utilizing Chen's CiteSpace. Results are illustrated as the following: (1) growth of publications is divided into three stages: a stagnant phase (1991 -2002), a takeoff phase (2003 -2009) and a blooming phase (2010 -2016); (2) most of the research institutions in this domain are concentrated in the United States, China, Japan and some developed countries in Europe. Chinese research in this area is mainly concentrated in Wuhan university, Chinese academy of science and Dalian university of technology; (3) publications of detecting research fronts mainly focus on the disciplines of Compute Science, Engineering and Information science library science; (4) we find three main academic communities in this domain, and they mainly focus on development and application of methods detecting research fronts; (5) methods detecting research fronts are classified into two categories: citations analysis and topic words analysis; (6) Scientific researchers began to frequently use the database for scientometrics research after 2012 and medical field began to use this approach to understand some of the frontier dynamics in the field in 2014.

show abstract

“…Thus, the heart of the view of so-called content validity is that the test items are samples of a behavioural domain or item universe about which inferences are to be drawn or predictions made. However, after digging literature more deeply it has been found that compatibility and customization are same factors in definition and items used for measuring them, 15,58,62,63 as well as firm size and general factor. 59,60,61,64 Validation of the content validity is carried out to assess the relevance of these factors to CCDCA.…”

Section: Content Validity Testmentioning

confidence: 99%

Cloud Computing Data Center Adoption Factors Validity By Fuzzy AHP

Badie

Hussin²,

Lashkari³

2015

IJCIS

View full text Add to dashboard Cite

Most sectors of the economy like the universities, high-tech, financial services, and government institutions have data center. However, there are some issues which encompass current data center such as physical location, energy consumption, performance, flexibility. Big organizations like Google, IBM have migrated toward cloud computing, and using cloud data center as the most cost efficient alternative to the current data center. Cloud computing is a model that provides suitable and on-demand access to a unfortunately, it has some attendant problems like security issue, lack of proper policy and standardization. Therefore, in spite of the provision of all the benefits of cloud computing, such as cost reduction, flexibility, easy implementation and accessibility, some organisations are suspected to move toward cloud computing data center. Therefore, the main focus of this paper is to determine the critical success factors for the adoption of cloud computing data center. To achieve this, a structural literature review of existing work and semi structured interview with ten IT administration and IT staff were carried out. We also performed a content validity using a panel of experts including 12 experts with more than 5 years experience. Subsequently, a FAHP technique was used to evaluate experts' consensuses.

show abstract

Enterprise cloud service architectures

Cited by 70 publications

References 62 publications

Systematic survey on evolution of cloud architectures

Systematic survey on evolution of cloud architectures

Mapping Intellectual Structures and Dynamics of Detecting Research Fronts Domain

Cloud Computing Data Center Adoption Factors Validity By Fuzzy AHP

Contact Info

Product

Resources

About