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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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Dynamic load balancing in cloud computing environments

N. A. Joshi
TL;DR: This paper presents a load balancing algorithm to provide healthier resource allocation scheme to help service providers keep up with the SLAs in the cloud environments.
Proceedings ArticleDOI

Technical Experiences on a Microservices-oriented Transformation using Open Source Software

TL;DR: This paper presents a summary of technical experiences on applying one of the most popular approaches to address transformation of legacy software to cloud-native applications: a microservice-oriented architecture with connections to legacy systems through anti-corruption layers.
Proceedings ArticleDOI

An Autonomic Capacity Management Approach with Cloud Insight towards Cost-Efficient Throughput Optimization for High Performance Computing

TL;DR: Proposals in this paper are significantly in achieving optimized throughput by reducing the number of pending jobs in cost-efficiency, with a couple of simulations.

Achieving the Best Trade-Off between Computation and Storage in the Cloud - Cost Model, Benchmarking and Strategies for Datasets Storage of Scientific Applications

Dong Yuan
TL;DR: In this paper, the authors propose a new cost model for datasets storage in the cloud and develop novel benchmarking approaches to find the minimum cost of storing the application data; they also design innovative runtime storage strategies to store application data in the Cloud.
Journal Article

Mobile Applications: Delivery Technologies in Multimedia Cloud Computing

TL;DR: A multimedia-aware cloud is presented, which addresses how a cloud can perform distributed multimedia processing and storage and provide quality of service (QoS) provisioning for multimedia services and how mobile multimedia applications can optimally utilize cloud-computing resources to achieve better quality of experience (QoE).
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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