Improving Virtualized Windows Network Performance by Delegating Network Processing

Koh, Younggyun; Pu, Calton; Shinjo, Yasushi; Eiraku, Hideki; Saito, Go; Nobori, Daiyuu

doi:10.1109/nca.2009.49

Cited by 7 publications

(2 citation statements)

References 9 publications

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“…Processors with hardware-assisted paging are widely available and the mechanism is commonly used to reduce the overhead and complexity of address mapping in virtualized systems. When using device controllers without special support for virtualization, para-virtualized devices are sometimes used to allow sharing among VMs while maximizing performance [13]. For ReHype, there are significant advantages to using hardware-assisted paging, as opposed to the alternative of using shadow page tables, and the use of para-virtualized devices, as opposed to the alternative of fully-virtualized devices.…”

Section: Validation Of Rehype With Fv Appvmsmentioning

confidence: 99%

Resilient Virtualized Systems Using ReHype

Le,

Tamir

2021

Preprint

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System-level virtualization introduces critical vulnerabilities to failures of the software components that implement virtualization -the virtualization infrastructure (VI). To mitigate the impact of such failures, we introduce a resilient VI (RVI) that can recover individual VI components from failure, caused by hardware or software faults, transparently to the hosted virtual machines (VMs). Much of the focus is on the ReHype mechanism for recovery from hypervisor failures, that can lead to state corruption and to inconsistencies among the states of system components.ReHype's implementation for the Xen hypervisor was done incrementally, using fault injection results to identify sources of critical corruption and inconsistencies. This implementation involved 900 LOC, with memory space overhead of 2.1MB. Fault injection campaigns, with a variety of fault types, show that ReHype can successfully recover, in less than 750ms, from over 88% of detected hypervisor failures.In addition to ReHype, recovery mechanisms for the other VI components are described. The overall effectiveness of our RVI is evaluated hosting a Web service application, on a cluster of VMs. With faults in any VI component, for over 87% of detected failures, our recovery mechanisms allow services provided by the application to be continuously maintained despite the resulting failures of VI components.

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Section: Validation Of Rehype With Fv Appvmsmentioning

confidence: 99%

Resilient Virtualized Systems Using ReHype

Le,

Tamir

2021

Preprint

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show abstract

“…Concretely, they analyzed virtualization overheads and found that in both cases (i.e., transmit and receive) the limitations of VM scaling are due to dom0 bottlenecks for servicing interrupts [3]. Koh et al also analyzed the I/O overhead caused by virtualization and proposed an outsourcing approach to improve the performance [27].…”

Section: Related Workmentioning

confidence: 99%

Variations in Performance and Scalability When Migrating n-Tier Applications to Different Clouds

Jayasinghe

Malkowski

Wang

et al. 2011

2011 IEEE 4th International Conference on Cloud Computing

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Abstract-The increasing popularity of computing clouds continues to drive both industry and research to provide answers to a large variety of new and challenging questions. We aim to answer some of these questions by evaluating performance and scalability when an n-tier application is migrated from a traditional datacenter environment to an IaaS cloud. We used a representative n-tier macro-benchmark (RUBBoS) and compared its performance and scalability in three different testbeds: Amazon EC2, Open Cirrus (an open scientific research cloud), and Emulab (academic research testbed). Interestingly, we found that the best-performing configuration in Emulab can become the worst-performing configuration in EC2. Subsequently, we identified the bottleneck components, high context switch overhead and network driver processing overhead, to be at the system level. These overhead problems were confirmed at a finer granularity through micro-benchmark experiments that measure component performance directly. We describe concrete alternative approaches as practical solutions for resolving these problems.

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Architectural virtualization extensions: A systems perspective

Grinberg

Weiss

2012

Computer Science Review

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Improving Virtualized Windows Network Performance by Delegating Network Processing

Cited by 7 publications

References 9 publications

Resilient Virtualized Systems Using ReHype

Resilient Virtualized Systems Using ReHype

Variations in Performance and Scalability When Migrating n-Tier Applications to Different Clouds

Architectural virtualization extensions: A systems perspective

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