Trends and Directions in Cloud Service Selection

Eisa, Mona; Younas, Muhammad; Basu, Kashinath; Zhu, Hong

doi:10.1109/sose.2016.59

Cited by 19 publications

(10 citation statements)

References 9 publications

(13 reference statements)

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“…Analyzing the gathered project data led to three application-specific requirements (R4-R6): Both our observations and recent literature suggest that the assessment and selection of software services in practice still is a considerably manual process (Eisa et al 2016). The interviewed domain experts and system designers consistently mandated that the service description language needs to be straightforwardly understandable by all stakeholders.…”

Section: Solution Requirements and Expected Benefitsmentioning

confidence: 80%

BoSDL: An Approach to Describe the Business Logic of Software Services in Domain-Specific Terms

Schlauderer

Overhage

2018

Bus Inf Syst Eng

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Modular SaaS platforms that can flexibly be configured with software services, microservices, and the advent of the API economy provide new opportunities to realize even highly customized solutions in the cloud. The success of such endeavors depends on the ability of consumers to discriminate between offered services and choose those best fulfilling the requirements, though. To facilitate the assessment of services against functional requirements, this article proposes the Business-Oriented Service Description Language (BoSDL). It consists of: (1) a meta-model with rules to describe the business logic, that is, the functionality of a software service from a businessoriented perspective; (2) a textual presentation format based on English natural language; (3) a graphical notation based on the UML. Findings from a controlled experiment indicate that, compared to the state of the art, the information provided with the BoSDL enhances the ability of consumers to judge if software services satisfy existing functional requirements.

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Section: Solution Requirements and Expected Benefitsmentioning

confidence: 80%

BoSDL: An Approach to Describe the Business Logic of Software Services in Domain-Specific Terms

Schlauderer

Overhage

2018

Bus Inf Syst Eng

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“…The main reasons for exclusion were: studies that proposed metrics not related to internal or external quality (e.g., [53]); studies describing quality attributes without metrics to measure them (e.g. [54]); and studies that proposed or used metrics but did not provide an explanation of how to measure them (e.g., [55]).…”

Section: Resultsmentioning

confidence: 99%

A Taxonomy of Quality Metrics for Cloud Services

et al. 2020

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A large number of metrics with which to assess the quality of cloud services have been proposed over the last years. However, this knowledge is still dispersed, and stakeholders have little or no guidance when choosing metrics that will be suitable to evaluate their cloud services. The objective of this paper is, therefore, to systematically identify, taxonomically classify, and compare existing quality of service (QoS) metrics in the cloud computing domain. We conducted a systematic literature review of 84 studies selected from a set of 4333 studies that were published from 2006 to November 2018. We specifically identified 470 metric operationalizations that were then classified using a taxonomy, which is also introduced in this paper. The data extracted from the metrics were subsequently analyzed using thematic analysis. The findings indicated that most metrics evaluate quality attributes related to performance efficiency (64%) and that there is a need for metrics that evaluate other characteristics, such as security and compatibility. The majority of the metrics are used during the Operation phase of the cloud services and are applied to the running service. Our results also revealed that metrics for cloud services are still in the early stages of maturity-only 10% of the metrics had been empirically validated. The proposed taxonomy can be used by practitioners as a guideline when specifying service level objectives or deciding which metric is best suited to the evaluation of their cloud services, and by researchers as a comprehensive quality framework in which to evaluate their approaches.

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“…It presents a comparison summary of this survey to others in Table 1. Eisa et al [2016] surveys some cloud services selection approaches. The authors focus on analysing three commercial CSP search tools that help CSCs to search for cloud services.…”

Section: Related Workmentioning

confidence: 99%

“…Cloud computing is the delivery of computing and storage resources to cloud customers as services in a pay-as-you-go manner [Armbrust et al 2010]. Despite the promised benefits of cloud computing (such as low cost, high availability, and flexible application deployment), the adoption of cloud brokers in practice remains sparse [Eisa et al 2016;Elkhatib 2016;Satzger et al 2013]. The market for cloud services is overwhelmed with a high number of heterogeneous cloud offerings, making the selection of a cloud service a challenging task for the Cloud Services Customer (CSC) [AppDirect 2017;(CSC) 2016;Ghrada et al 2018].…”

Section: Introductionmentioning

confidence: 99%

“…The breadth of challenges surrounding cloud brokerage has brought about so much research there that is a need to systematically analyse the proposed solutions. Few works focused on surveying research efforts related to cloud brokerage such as cloud services selection approaches [Eisa et al 2016], interoperability and portability in the cloud [Loutas et al 2011], and resource allocating mechanisms [Sheikh. and Navimipour 2018].…”

Section: Introductionmentioning

confidence: 99%

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Cloud Brokerage

et al. 2019

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Background —The proliferation of cloud services has opened a space for cloud brokerage services. Brokers intermediate between cloud customers and providers to assist the customer in selecting the most suitable service, helping to manage the dimensionality, heterogeneity, and uncertainty associated with cloud services. Objective —Unlike other surveys, this survey focuses on the customer perspective. The survey systematically analyses the literature to identify and classify approaches to realise cloud brokerage, presenting an understanding of the state-of-the-art and a novel taxonomy to characterise cloud brokers. Method —A systematic literature survey was conducted to compile studies related to cloud brokerage and explore how cloud brokers are engineered. These studies are then analysed from multiple perspectives, such as motivation, functionality, engineering approach, and evaluation methodology. Results —The survey resulted in a knowledge base of current proposals for realising cloud brokers. The survey identified differences between the studies’ implementations, with engineering efforts directed at combinations of market-based solutions, middlewares, toolkits, algorithms, semantic frameworks, and conceptual frameworks. Conclusion —Our comprehensive meta-analysis shows that cloud brokerage is still a formative field. Although significant progress has been achieved in this field, considerable challenges remain to be addressed, which are also identified in this survey.

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Trends and Directions in Cloud Service Selection

Cited by 19 publications

References 9 publications

BoSDL: An Approach to Describe the Business Logic of Software Services in Domain-Specific Terms

BoSDL: An Approach to Describe the Business Logic of Software Services in Domain-Specific Terms

A Taxonomy of Quality Metrics for Cloud Services

Cloud Brokerage

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