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Proceedings ArticleDOI

CloudCmp: comparing public cloud providers

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TLDR
Applying CloudCmp to four cloud providers that together account for most of the cloud customers today, it is found that their offered services vary widely in performance and costs, underscoring the need for thoughtful provider selection.
Abstract
While many public cloud providers offer pay-as-you-go computing, their varying approaches to infrastructure, virtualization, and software services lead to a problem of plenty. To help customers pick a cloud that fits their needs, we develop CloudCmp, a systematic comparator of the performance and cost of cloud providers. CloudCmp measures the elastic computing, persistent storage, and networking services offered by a cloud along metrics that directly reflect their impact on the performance of customer applications. CloudCmp strives to ensure fairness, representativeness, and compliance of these measurements while limiting measurement cost. Applying CloudCmp to four cloud providers that together account for most of the cloud customers today, we find that their offered services vary widely in performance and costs, underscoring the need for thoughtful provider selection. From case studies on three representative cloud applications, we show that CloudCmp can guide customers in selecting the best-performing provider for their applications.

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Citations
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Journal ArticleDOI

An end-to-end framework for context-aware business process outsourcing to the cloud☆

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Dissertation

The Omni-Kernel Architecture: Scheduler Control Over All Resource Consumption in Multi-Core Computing Systems

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Book ChapterDOI

Towards a Model-Based Execution-Ware for Deploying Multi-cloud Applications

TL;DR: A model based execution-ware that helps coping with these challenges by allowing the deployment of applications in a multi-cloud environment, based on a high-level model created by the user.
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Trust Validation of Cloud IaaS: A Customer-centric Approach

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References
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Journal Article

Above the Clouds: A Berkeley View of Cloud Computing

TL;DR: This work focuses on SaaS Providers (Cloud Users) and Cloud Providers, which have received less attention than SAAS Users, and uses the term Private Cloud to refer to internal datacenters of a business or other organization, not made available to the general public.
Proceedings ArticleDOI

Benchmarking cloud serving systems with YCSB

TL;DR: This work presents the "Yahoo! Cloud Serving Benchmark" (YCSB) framework, with the goal of facilitating performance comparisons of the new generation of cloud data serving systems, and defines a core set of benchmarks and reports results for four widely used systems.
Proceedings ArticleDOI

Hey, you, get off of my cloud: exploring information leakage in third-party compute clouds

TL;DR: It is shown that it is possible to map the internal cloud infrastructure, identify where a particular target VM is likely to reside, and then instantiate new VMs until one is placed co-resident with the target, and how such placement can then be used to mount cross-VM side-channel attacks to extract information from a target VM on the same machine.
Proceedings ArticleDOI

Modeling TCP throughput: a simple model and its empirical validation

TL;DR: In this article, the authors developed a simple analytic characterization of the steady state throughput, as a function of loss rate and round trip time for a bulk transfer TCP flow, i.e., a flow with an unlimited amount of data to send.
Journal ArticleDOI

Brewer's conjecture and the feasibility of consistent, available, partition-tolerant web services

TL;DR: In this paper, it is shown that it is impossible to achieve consistency, availability, and partition tolerance in the asynchronous network model, and then solutions to this dilemma in the partially synchronous model are discussed.
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