Resource management in clouds: Survey and research challenges

B Jennings, R Stadler - Journal of Network and Systems Management, 2015 - Springer
Resource management in a cloud environment is a hard problem, due to: the scale of
modern data centers; the heterogeneity of resource types and their interdependencies; the …

{ClickOS} and the Art of Network Function Virtualization

J Martins, M Ahmed, C Raiciu, V Olteanu… - … USENIX Symposium on …, 2014 - usenix.org
Over the years middleboxes have become a fundamental part of today's networks. Despite
their usefulness, they come with a number of problems, many of which arise from the fact …

NetVM: High performance and flexible networking using virtualization on commodity platforms

J Hwang, KK Ramakrishnan… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
NetVM brings virtualization to the Network by enabling high bandwidth network functions to
operate at near line speed, while taking advantage of the flexibility and customization of low …

Paving the way for NFV acceleration: A taxonomy, survey and future directions

X Fei, F Liu, Q Zhang, H Jin, H Hu - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
As a recent innovation, network functions virtualization (NFV)—with its core concept of
replacing hardware middleboxes with software network functions (NFs) implemented in …

Quarantine: Mitigating transient execution attacks with physical domain isolation

M Hertogh, M Wiesinger, S Österlund… - Proceedings of the 26th …, 2023 - dl.acm.org
Since the Spectre and Meltdown disclosure in 2018, the list of new transient execution
vulnerabilities that abuse the shared nature of microarchitectural resources on CPU cores …

Mimp: Deadline and interference aware scheduling of hadoop virtual machines

W Zhang, S Rajasekaran, T Wood… - 2014 14th IEEE/ACM …, 2014 - ieeexplore.ieee.org
Virtualization promised to dramatically increase server utilization levels, yet many data
centers are still only lightly loaded. In some ways, big data applications are an ideal fit for …

Optimizing cloud data center energy efficiency via dynamic prediction of CPU idle intervals

L Duan, D Zhan, J Hohnerlein - 2015 IEEE 8th International …, 2015 - ieeexplore.ieee.org
The energy consumption of cloud data centers has been growing drastically in recent years.
In particular, CPUs are the most power hungry components in the data center. On the one …

Peafowl: In-application cpu scheduling to reduce power consumption of in-memory key-value stores

E Asyabi, A Bestavros, E Sharafzadeh… - Proceedings of the 11th …, 2020 - dl.acm.org
The traffic load sent to key-value (KV) stores varies over long timescales of hours to short
timescales of a few microseconds. Long-term variations present the opportunity to save …

Small is better: Avoiding latency traps in virtualized data centers

Y Xu, M Bailey, B Noble, F Jahanian - … of the 4th annual Symposium on …, 2013 - dl.acm.org
Public clouds have become a popular platform for building Internet-scale applications. Using
virtualization, public cloud services grant customers full control of guest operating systems …

Paravirtual remote i/o

Y Kuperman, E Moscovici, J Nider, R Ladelsky… - ACM SIGARCH …, 2016 - dl.acm.org
The traditional" trap and emulate" I/O paravirtualization model conveniently allows for I/O
interposition, yet it inherently incurs costly guest-host context switches. The newer" sidecore" …