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Book ChapterDOI

QoS Optimization for Cloud Service Composition Based on Economic Model

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TLDR
This work proposes Genetic Algorithm-based approach to model the cloud service composition problem and a comparison is given between the proposed composition approach and other existing algorithms such as Integer Linear Programming.
Abstract
Cloud service composition is usually long term based and economically driven. Services in cloud computing can be categorized into two groups: Application services and Computing Services. Compositions in the application level are similar to the Web service compositions in Service-Oriented Computing. Compositions in the computing level are similar to the task matching and scheduling in grid computing. We consider cloud service composition from end users perspective. We propose Genetic Algorithm-based approach to model the cloud service composition problem. A comparison is given between the proposed composition approach and other existing algorithms such as Integer Linear Programming. The experiment results proved the efficiency of the proposed approach.

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Citations
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Journal ArticleDOI

Comprehensive and systematic review of the service composition mechanisms in the cloud environments

TL;DR: The purpose of this paper is to survey the existing techniques and mechanisms which can be addressed in cloud service composition to outline key areas for the improvement of service composition methods in the future research.
Journal ArticleDOI

QoS-aware cloud service composition: A systematic mapping study from the perspective of computational intelligence

TL;DR: The results indicate that reducing response time is the most important motivation for researchers, and meta-heuristic algorithms are the most widely used computational intelligence techniques, besides, the most commonly used QoS attributes and datasets are also revealed.
Book ChapterDOI

QoS Based Resource Provisioning in Cloud Computing Environment: A Technical Survey

TL;DR: This paper aims at the study of various researchers in the field of Resource allocation and resource availability in cloud computing environment based on QoS requirements.
Proceedings ArticleDOI

Formal Approach for QoS-Aware Cloud Service Composition

TL;DR: The aim of this work is the modelling and verification of Web Services Composition using a formal method based on Satisfiability (SAT), and using the Minimally Unsatisfiable Subformula (MUS), this definition and its validation are formally defined.
Journal ArticleDOI

Multicloud service composition: A survey of current approaches and issues

TL;DR: A systematic literature review on multicloud service composition is provided, including a background on service composition in single clouds, the multicLoud taxonomy, and how service composition was tackled by researchers in multicl Loud environments are studied.
References
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Journal ArticleDOI

A view of cloud computing

TL;DR: The clouds are clearing the clouds away from the true potential and obstacles posed by this computing capability.
Journal ArticleDOI

Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach

TL;DR: The proof-of-principle results obtained on two artificial problems as well as a larger problem, the synthesis of a digital hardware-software multiprocessor system, suggest that SPEA can be very effective in sampling from along the entire Pareto-optimal front and distributing the generated solutions over the tradeoff surface.
Journal Article

Above the Clouds: A Berkeley View of Cloud Computing

TL;DR: This work focuses on SaaS Providers (Cloud Users) and Cloud Providers, which have received less attention than SAAS Users, and uses the term Private Cloud to refer to internal datacenters of a business or other organization, not made available to the general public.
Journal ArticleDOI

QoS-aware middleware for Web services composition

TL;DR: This paper presents a middleware platform which addresses the issue of selecting Web services for the purpose of their composition in a way that maximizes user satisfaction expressed as utility functions over QoS attributes, while satisfying the constraints set by the user and by the structure of the composite service.
Journal ArticleDOI

Genetic algorithms: a survey

TL;DR: The analogy between genetic algorithms and the search processes in nature is drawn and the genetic algorithm that Holland introduced in 1975 and the workings of GAs are described and surveyed.
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