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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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Journal ArticleDOI

Internet Public Opinion Monitoring Model Based on Cloud Computing

TL;DR: This paper introduces the public opinion monitoring model based on cloud computing environment, which can mine and analyze large scale collected data, realize detection and tracking of hot topics, perform social network analysis on the BBS and visualize the analysis results.
Proceedings ArticleDOI

Design of an accounting and metric-basedcloud-shifting and cloud-seeding framework for federatedclouds and bare-metal environments

TL;DR: The design of a dynamic provisioning system that is able to manage the resources of a federated cloud environment by focusing on their utilization is presented, which will be beneficial for users of environments such a FutureGrid where several infrastructures are supported with limited physical resources.
Journal ArticleDOI

SLA-constrained service selection for minimizing costs of providing composite cloud services under stochastic runtime performance.

TL;DR: This paper presents three service selection approaches for dynamic cloud environments where services’ performance might vary with time, and presents a one-step method for ratio-based SLA based on the Chebyshev’s theorem and nonlinear programming.
Journal ArticleDOI

Stochastic Markov Model Approach for Efficient Virtual Machines Scheduling on Private Cloud

TL;DR: An analytical performance model approach using Stochastic Markov model is proposed to measure the scalability and tractability for infrastructure resource of private cloud to improve the performance of IaaS services in the system.
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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