Proceedings ArticleDOI
CloudCmp: comparing public cloud providers
Ang Li,Xiaowei Yang,Srikanth Kandula,Ming Zhang +3 more
- pp 1-14
Reads0
Chats0
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
Citations
More filters
Proceedings ArticleDOI
CAR: Cloud-Assisted Routing
Prasun Kanti Dey,Murat Yuksel +1 more
TL;DR: A new hybrid software-defined networking approach, Cloud-Assisted Routing (CAR), that utilizes high computation and memory power of cloud services by splitting both control and data plane functions between a local router and a remote cloud computing platform is proposed.
Proceedings ArticleDOI
CoCloud: Enabling efficient cross-cloud file collaboration based on inefficient web APIs
TL;DR: This paper designs and implements an open-source prototype system called CoCloud, which supports file collaboration among four popular cloud storage services in the US and China and its performance is well acceptable to users under representative workloads, even approaching or exceeding intra-cloud performance in many cases.
Proceedings ArticleDOI
Loosely-Coupled Benchmark Framework Automates Performance Modeling on IaaS Clouds
TL;DR: A modeling methodology to compare the performance from multiple aspects based on a loosely coupled benchmark framework, which automates experiments under agile workflow controlling and achieves broad cloud supports, as well as good workload extensibility is presented.
Proceedings ArticleDOI
A Polymorphic Model for Event Associated Workload Bursts
TL;DR: It is argued that the profile of a burst can differ for different event types, and will depend on a variable number of feature types that describe the burst's associated event.
DissertationDOI
A transfer learning-aided decision support system for multi-cloud brokers
TL;DR: This thesis exploits machine learning for building an intelligent decision support system which assists customers in making application-driven decisions in a multi-cloud environment and introduces a novel transfer learning aided technique, leading to substantial reduction in this overhead.
References
More filters
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.