Comparison of disk I/O power consumption in modern virtualization

Rattanaopas, Kritwara; Tandayya, Pichaya

doi:10.1109/i4ct.2015.7219535

Cited by 3 publications

(3 citation statements)

References 7 publications

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“…The power consumption and the latency in the disk I/O test results of Kritwara et al 13 are reported to be decreasing function of the block size similar to what we obtained. The memory test in Kritwara et al 13 compares the memory usage of Mysqlslap queries in KVM and Xen which can not be compared with our memory test which allocates and deallocates a certain amount of memory. Avino et al 14 addressed the suitability of Docker in MEC scenarios by quantifying the CPU consumed by Docker when running two different containerized services: multiplayer gaming and video streaming.…”

Section: Related Worksupporting

confidence: 89%

Section: Related Workmentioning

confidence: 99%

“…Rattanaopas and Tandayya investigated power consumption and performance issues concerning memory and disk I/O in Xen and KVM virtualization environments. The power consumption and the latency in the disk I/O test results in the work of Rattanaopas and Tandayya are reported to be decreasing function of the block size similar to what we obtained. The memory test in the work of Rattanaopas and Tandayya compares the memory usage of Mysqlslap queries in KVM and Xen, which cannot be compared with our memory test that allocates and deallocates a certain amount of memory.…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Characterizing the power cost of virtualization environments

Tadesse

Chiasserini

Malandrino

2018

Trans Emerging Tel Tech

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Virtualization is a key building block of next‐generation mobile networks. It can be implemented through two main approaches: traditional virtual machines (VMs) and lighter‐weight containers. Our objective in this paper is to compare these approaches and study the power consumption they are associated with. To this end, we perform a large set of real‐world measurements, using both synthetic workloads and real‐world applications, and use them to model the relationship between the resource usage of the hosted application and the power consumption of both VMs and containers hosting it. We find that containers incur substantially lower power consumption than VMs and that such consumption increases more slowly with the application load.

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Section: Related Worksupporting

confidence: 89%

Section: Related Workmentioning

confidence: 99%