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Journal ArticleDOI

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

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TLDR
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.
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This article is published in Future Generation Computer Systems.The article was published on 2017-03-01. It has received 32 citations till now. The article focuses on the topics: Cloud computing & Quality of service.

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Citations
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Journal ArticleDOI

Task Scheduling in Cloud Computing based on Meta-heuristics: Review, Taxonomy, Open Challenges, and Future Trends

TL;DR: In this paper, the authors provide a brief on traditional and heuristic scheduling methods before diving deeply into the most popular meta-heuristics for cloud task scheduling followed by a detailed systematic review featuring a novel taxonomy of those techniques, along with their advantages and limitations.
Journal ArticleDOI

Collaborative QoS prediction with context-sensitive matrix factorization

TL;DR: A general context-sensitive matrix-factorization approach (CSMF) is proposed to make collaborative QoS prediction that significantly outperforms the-state-of-art methods in metric of prediction accuracy and is more effective and robust.
Journal ArticleDOI

Fluctuation-Aware and Predictive Workflow Scheduling in Cost-Effective Infrastructure-as-a-Service Clouds

TL;DR: A case study based on real-world third-party IaaS clouds and some well-known scientific workflows shows that the proposed approach outperforms traditional approaches, especially those considering time-invariant or bounded performance only.
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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.
References
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Proceedings ArticleDOI

Item-based collaborative filtering recommendation algorithms

TL;DR: This paper analyzes item-based collaborative ltering techniques and suggests that item- based algorithms provide dramatically better performance than user-based algorithms, while at the same time providing better quality than the best available userbased algorithms.
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A framework for ranking of cloud computing services

TL;DR: This work proposes a framework and a mechanism that measure the quality and prioritize Cloud services and will create healthy competition among Cloud providers to satisfy their Service Level Agreement (SLA) and improve their QoS.
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Collaborative Web Service QoS Prediction via Neighborhood Integrated Matrix Factorization

TL;DR: This paper proposes a collaborative quality-of-service (QoS) prediction approach for web services by taking advantages of the past web service usage experiences of service users, and achieves higher prediction accuracy than other approaches.
Journal ArticleDOI

Evaluation of Services Using a Fuzzy Analytic Hierarchy Process

TL;DR: The proposed fuzzy prioritisation method uses fuzzy pairwise comparison judgements rather than exact numerical values of the comparison ratios and transforms the initial fuzzy prioritisations problem into a non-linear program, which eliminates the need of additional aggregation and ranking procedures.
Proceedings ArticleDOI

Collaborative reliability prediction of service-oriented systems

TL;DR: A collaborative reliability prediction approach, which employs the past failure data of other similar users to predict the Web service reliability for the current user, without requiring real-world Web service invocations, is proposed.
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