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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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Resource management for scientific application in hybrid cloud computing environments / by Simon Ostermann

TL;DR: The evaluation of the proposed architecture indicates that using Cloud resources for scientific applications is a viable choice, and execution times can be significantly reduced by acquiring additional ondemand Cloud resources.
Journal ArticleDOI

Applied machine learning in load balancing

TL;DR: A machine learning algorithm is proposed that utilizes server resources CPU and memory to forecast the future of resources server loads and recommends from beginning to start to save the log data server resources because the more data to process, the more accurate prediction of server load will be.
Proceedings ArticleDOI

Research on the Application of Cloud Computing Technology in Urban Rail Transit

Haigeng Tu
TL;DR: The necessity of the combination of cloud computing technology and urban rail transit construction is analyzed by analyzing the general situation of urban rail Transit construction in China, and the application model of cloud Computing in urbanRail transit, and puts forward the prospect of urban Rail transit intelligent construction.
Proceedings ArticleDOI

On MAS-Based, Scalable Resource Allocation in Large-Scale, Dynamic Environments

TL;DR: This paper designs, implements a generic multi-agent simulator for trading resources, and extensively evaluates a greedy approach for solving two-sided combinatorial auctions, showing how this approach scales when distributing the allocation task over multiple agents, and proposes different methods to improve scalability.
Journal ArticleDOI

Privacy in Cloud System

TL;DR: A new framework to solve the interoperability problem between heterogeneous data centers and/or different administration domains can become a serious issue for cloud interoperability and privacy.
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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