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Journal ArticleDOI

User-side cloud service management: State-of-the-art and future directions

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TLDR
This paper presents a comprehensive state-of-the-art discussion on the existing approaches to cloud service management, critically evaluates them against the factors required for the user to manage the cloud service and presents a framework that assists theCloud service user in making cloud service Management decisions.
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This article is published in Journal of Network and Computer Applications.The article was published on 2015-09-01. It has received 31 citations till now. The article focuses on the topics: Cloud testing & Cloud computing security.

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Citations
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Journal ArticleDOI

Cloud service evaluation method-based Multi-Criteria Decision-Making

TL;DR: A systematic literature review based on Evaluation Theory, a theory that generalizes six evaluation components, target, criteria, yardstick, data gathering techniques, synthesis techniques, and evaluation process, provides the relative strengths and weaknesses of the different CSEMs and offers a basis for researchers and decision makers to develop improvedCSEMs.
Journal ArticleDOI

Time-aware trustworthiness ranking prediction for cloud services using interval neutrosophic set and ELECTRE

TL;DR: A time-aware approach to predict the trustworthiness ranking of cloud services, with the tradeoffs between performance-cost and potential risks in multiple periods is proposed, and an improved ELECTRE method is developed to solve the problem.
Journal ArticleDOI

An Extended TOPSIS Approach for Ranking Cloud Service Providers

TL;DR: The TOPSIS method is extended by using the Minkowski distance and the applicability of the proposed E-TOPSIS approach is presented in a case study for CSPs evaluation and ranking in relation to a set of Service Measurement Index SMI criteria.
Posted Content

Multi-Valued Collaborative Qos Prediction for Cloud Service Via Time Series Analysis

TL;DR: A new vector comparison method combining the orientation similarity and dimension similarity to improve the precision of similarity calculation is presented, which can provide high accuracy of collaborative QoS prediction for multi-valued evaluations in the cloud computing paradigm.
Journal ArticleDOI

Multi-valued collaborative QoS prediction for cloud service via time series analysis

TL;DR: Wang et al. as discussed by the authors proposed a multi-valued collaborative approach to predict the unknown QoS values via time series analysis for potential users by exploiting the continuous monitoring data of cloud services.
References
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Book ChapterDOI

Performance measurement of a private cloud in the OpenCirrus™ testbed

TL;DR: This paper examines the I/O and CPU performance as well as the network transfer rate of cloud computing infrastructures implemented with Eucalyptus in contrast to Amazon EC2/S3.
Proceedings ArticleDOI

The Future of Service Marketplaces in the Cloud

TL;DR: This paper explores the landscape of cloud services marketplaces, where the authors are, what enablers are needed to realize the vision, and it presents a prospective architecture to that end.
Proceedings ArticleDOI

A survey of management interfaces for eucalyptus cloud

TL;DR: The purpose of this article is to provide an overview of several management interfaces for Eucalyptus cloud by addressing the taxonomy and evaluation of the cloud management interfaces.
Book ChapterDOI

Cloud Computing Providers: Characteristics and Recommendations

TL;DR: The core characteristics of cloud computing are summarized and joined together in a general definition; then, two classifications of cloud Computing are presented and used to assess the existing cloud computing providers.
Proceedings ArticleDOI

The KOALA Cloud Manager: Cloud Service Management the Easy Way

TL;DR: The design of a better management solution - the KOALA cloud management service - for cloud services and its implementation are described.
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