Proceedings ArticleDOI
CloudCmp: comparing public cloud providers
Ang Li,Xiaowei Yang,Srikanth Kandula,Ming Zhang +3 more
- pp 1-14
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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.read more
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References
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Journal Article
Above the Clouds: A Berkeley View of Cloud Computing
Michael Armbrust,Armando Fox,Rean Griffith,Anthony D. Joseph,Randy H. Katz,Andy Konwinski,Gunho Lee,David A. Patterson,Ariel Rabkin,Ion Stoica,Matei Zaharia +10 more
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
Seth Gilbert,Nancy Lynch +1 more
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.