The Impact of Virtualization on Network Performance of Amazon EC2 Data Center

By Guohui Wang, T. Ng. 2010 Proceedings IEEE INFOCOM, 2010

767 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems

View Paper: https://www.semanticscholar.org/paper/8e5915794057e04fa77bc513e10c5c8b6aea0d7a

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Citations in the corpus

Cloud security issues and challenges: A survey (2017, background): “The paper [174] discusses the network performance of Amazon EC2 due to virtualization.”
CherryPick: Adaptively Unearthing the Best Cloud Configurations for Big Data Analytics (2017, background): “Moreover, cloud dynamics such as network congestions and strag-glers introduce substantial noise [23, 39].”
Network function virtualization: Challenges and opportunities for innovations (2015, background): “Previous work has shown that virtualization may lead to abnormal latency variations and significant throughput instability even when the underlying network is only lightly utilized [14].”
Towards predictable datacenter networks (2011, background): “A slew of recent measurement studies characterize the CPU, disk and network performance offered by cloud vendors, comment on the observed variability and its impact on application performance [13,23,24,30,35].”
Cloud monitoring: A survey (2013, background): “…the same host, etc.), on the number of concurrent processes (and therefore VMs) on the same host, etc. Wang and Ng [68] found that, even when the data center network is lightly utilized, virtualization can still cause signiﬁcant throughput instability and abnormal…”
Inside dropbox: understanding personal cloud storage services (2012, background): “Some studies present a comparison among different storage providers [13, 17]: by running benchmarks, they focus on the user achieved performance, but miss the characterization of the typical usage of a cloud service, and the impact of user and system behavior on personal storage applications.”
Cloud auto-scaling with deadline and budget constraints (2010, background): “Their configuration and prices are borrowed from the Amazon Web Service [6] and related performance studies [105][106].”
Joint VM placement and routing for data center traffic engineering (2012, methodology): “Several papers [6], [11], [22], [24], [23] have provided empirical measurement study on network traffic patterns of commercial cloud services, including Amazon EC2, GFS, MapReduce, and a data warehouse hosted by IBM Global Services.”
CloudCmp: comparing public cloud providers (2010, background): “This is to avoid the network performance degradation due to CPU time sharing introduced by virtualization [35].”
Security for 5G and Beyond (2019, background): “Both are known to downgrade the network performance during small bursts of traffic [175].”
End-to-end Performance Isolation Through Virtual Datacenters (2014, background): “In recent years, cloud providers have moved from simply offering on-demand compute resources to providing a broad selection of services.”
Security issues in cloud environments: a survey (2014, background): “Wang and Ng [293] analyzed the impact of virtualization on network performance of Amazon EC2 instances.”
Sharing the Data Center Network (2011, background): “Recent measurements demonstrate considerable variation in network performance metrics – medium instances in EC2 experience throughput that can vary by 66% [25, 43].”
Performance Analysis of High Performance Computing Applications on the Amazon Web Services Cloud (2010, background): “Various groups have run both standard benchmark suites such as Linpack and NAS [5], [6], [7], [8], [9], and network performance tests [10].”