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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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Two levels autonomic resource management in virtualized IaaS

TL;DR: It is shown that virtual machine consolidation and dynamic application sizing are complementary and the efficiency of the combination of these two strategies, in reducing resource usage and keeping an application's Quality of Service is shown.
Proceedings ArticleDOI

Hybrid approach using throttled and ESCE load balancing algorithms in cloud computing

TL;DR: This paper proposes efficient and enhanced Hybrid scheduling algorithm that can maintain the load and provides modified resource allocation techniques for load balancing using Throttled and Equally Spread Current Execution algorithms.
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Empirical Analysis for the Factors Affecting the Adoption of Cloud Computing Initiatives by Information Technology Executives

TL;DR: In this paper, the authors proposed a model for evaluating technology adoption from multiple perspectives by integrating the social exchange theory into the technology acceptance model, and proposed that technology acceptance is a function of a deliberate process of weighing the advantages associated with that technology against its disadvantages.
Proceedings ArticleDOI

Energy-Efficient Resource Provisioning with SLA Consideration on Cloud Computing

TL;DR: This study proposes an energy-efficient resource provisioning technology with SLA consideration for virtual machine scheduling that outperforms other proposed approaches in power consumption.
Journal ArticleDOI

esDNN: Deep Neural Network Based Multivariate Workload Prediction in Cloud Computing Environments

TL;DR: An efficient supervised learning-based Deep Neural Network (esDNN) approach for cloud workload prediction that can accurately and efficiently predict cloud workloads and applies esDNN for machines auto-scaling, which illustrates that the costs of service providers can be optimized.
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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