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Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering IT Services as Computing Utilities

TLDR
The need for convergence of competing IT paradigms for delivering the 21st century vision of computing is concluded.
Abstract
This keynote paper: presents a 21 st century vision of computing; identifies various computing paradigms promising to deliver the vision of computing utilities; defines Cloud computing and provides the architecture for creating market-oriented Clouds by leveraging technologies such as VMs; provides thoughts on marketbased resource management strategies that encompass both customer-driven service management and computational risk management to sustain SLA-oriented resource allocation; presents some representative Cloud platforms especially those developed in industries along with our current work towards realising market-oriented resource allocation of Clouds by leveraging the 3 rd generation Aneka enterprise Grid technology; reveals our early thoughts on interconnecting Clouds for dynamically creating an atmospheric computing environment along with pointers to future community research; and concludes with the need for convergence of competing IT paradigms for delivering our 21 st century vision.

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Citations
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Proceedings ArticleDOI

Mobile cloud applications and traceability

TL;DR: This paper analyzes the need for mobile cloud applications, a scenario for an e-health application and a data traceability service are proposed and designed.
Dissertation

Plateforme ouverte, évolutive, sécurisée et orientée utilisateur pour l'e-commerce

TL;DR: These propose de valider the pertinence de l’utilisation du Cloud dans un contexte d’e-commerce avant de proposer les principes architecturaux d”une PE ouverte, evolutive et securisee basee sur une architecture de Cloud.

A Review on Mobile Cloud Computing: Issues, Challenges and Solutions

TL;DR: This paper presents a review on the background and principle of MCC, characteristics, recent research work, and future research trends, and analyses the features and infrastructure of mobile cloud computing.
Journal ArticleDOI

Trust: A Requirement for Cloud Technology Adoption

TL;DR: This research attempts to investigate the effect of trust in the adoption of the technology by formulating a trust model based on Expectancy Disconfirmation Theory model and Bayesian network.
Proceedings ArticleDOI

An Effective Approach to Cloud Migration for Small and Medium Enterprises (SMEs)

TL;DR: The goal is to help SMEs understand the basic terminology of cloud computing and how they can map out a migration to on-premises cloud services, by proposing a comprehensive and detailed framework.
References
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Journal ArticleDOI

Computing in the clouds

Aaron Weiss
TL;DR: This research presents a meta-service architecture that automates the very labor-intensive and therefore time-heavy and therefore expensive and expensive process of developing and deploying new types of services and applications.
Journal ArticleDOI

The Grid Economy

TL;DR: An extensive, service-oriented Grid architecture driven by Grid economy and an approach for its realization by leveraging various existing Grid technologies are presented and commodity and auction models for resource allocation are presented.
Journal Article

Computing in the Clouds.

TL;DR: This article was written without the aid of word processing software loaded on my computer, and was saved in a place where I will have access to the content, even if my laptop is lost, the external hard drive where I keep my backups fails, and the new version of Microsoft Office refuses to open my file format.
Journal ArticleDOI

Virtual workspaces: Achieving quality of service and quality of life in the Grid

TL;DR: While Grids offer users access to many diverse and powerful resources, they do little to ensure that once a resource is accessed, it fulfills user expectations for on-demand allocation.
Posted Content

Tycoon: an Implementation of a Distributed, Market-based Resource Allocation System

TL;DR: Tycoon as mentioned in this paper is a market based distributed resource allocation system based on proportional share, which allows users to differentiate the value of their jobs, its resource acquisition latency is limited only by communication delays and it imposes no manual bidding overhead on users.
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