Open Access
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.read more
Citations
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Proceedings ArticleDOI
Study on cloud computing and cloud database
TL;DR: An introduction to what the cloud computing is, services it provide, how it is deployed, with its features and challenges is given and various types of cloud databases are compared.
Proceedings ArticleDOI
Multi-level and Multi-objective Survey on Cloud Scheduling
TL;DR: A weakness in the proposed schedulers, almost no Pareto multi-objective solving algorithms and very few realistic experiments facing the real cloud constraints are shown.
Afinidade de tipos de aplicações em nuvens computacionais
TL;DR: xiii 1 INTRODUÇÃO 1 1.1 Definição do Problema .1.2 Delimitaçãodo do Trabalho .2.3 OrganizaçãoDo Trabho .3 2 REVISÃO BIBLIOGRÁFICA .
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Heterogeneous Workload Consolidation for Efficient Management of Data Centers in Cloud Computing
Deep Mann,Inderveer Chana +1 more
TL;DR: A Single Threshold technique for efficient consolidation of heterogeneous workloads by focusing on the energy consumption of the data center due to the heterogeneity of the workloads and also gives information about the SLA violations.
Proceedings ArticleDOI
Adaptive Virtual Machine Provisioning in Elastic Multi-tier Cloud Platforms
TL;DR: Experimental results show that the proposed mathematical multi-tier framework for virtual machine allocation can be simply and effectively used to satisfy the response time requirement as well as lowering the cost of using the virtual machine resources.
References
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Journal ArticleDOI
Computing in the clouds
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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