Hardware-accelerated platforms and infrastructures for network functions: A survey of enabling technologies and research studies

P Shantharama, AS Thyagaturu, M Reisslein - IEEE Access, 2020 - ieeexplore.ieee.org
In order to facilitate flexible network service virtualization and migration, network functions
(NFs) are increasingly executed by software modules as so-called “softwarized NFs” on …

Parties: Qos-aware resource partitioning for multiple interactive services

S Chen, C Delimitrou, JF Martínez - Proceedings of the Twenty-Fourth …, 2019 - dl.acm.org
Multi-tenancy in modern datacenters is currently limited to a single latency-critical,
interactive service, running alongside one or more low-priority, best-effort jobs. This limits …

The tail at scale

J Dean, LA Barroso - Communications of the ACM, 2013 - dl.acm.org
The tail at scale Page 1 74 communicaTionS of The acm | february 2013 | vol. 56 | no. 2
contributed articles ill us tra tion b yg ia como m arche si sYsteMs that resPoND to user actions …

Complete system power estimation using processor performance events

WL Bircher, LK John - IEEE Transactions on Computers, 2011 - ieeexplore.ieee.org
This paper proposes the use of microprocessor performance counters for online
measurement of complete system power consumption. The approach takes advantage of …

Power delivery for high-performance microprocessors—challenges, solutions, and future trends

K Radhakrishnan, M Swaminathan… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The power delivery requirements for the early microprocessors were fairly rudimentary due
to the relatively low power levels. However, several decades of exponential scaling powered …

Virtual machine warmup blows hot and cold

E Barrett, CF Bolz-Tereick, R Killick, S Mount… - Proceedings of the ACM …, 2017 - dl.acm.org
Virtual Machines (VMs) with Just-In-Time (JIT) compilers are traditionally thought to execute
programs in two phases: the initial warmup phase determines which parts of a program …

SmartOClock: Workload-and risk-aware overclocking in the cloud

J Stojkovic, PA Misra, Í Goiri, S Whitlock… - 2024 ACM/IEEE 51st …, 2024 - ieeexplore.ieee.org
Operating server components beyond their voltage and power design limit (ie, overclocking)
enables improving performance and lowering cost for cloud workloads. However …

Estimation and Prediction of the Polymers' Physical Characteristics Using the Machine Learning Models

IP Malashin, VS Tynchenko, VA Nelyub, AS Borodulin… - Polymers, 2023 - mdpi.com
This article investigates the utility of machine learning (ML) methods for predicting and
analyzing the diverse physical characteristics of polymers. Leveraging a rich dataset of …

[HTML][HTML] CHAMELEON: reactive load balancing for hybrid MPI+ OpenMP task-parallel applications

J Klinkenberg, P Samfass, M Bader, C Terboven… - Journal of Parallel and …, 2020 - Elsevier
Many applications in high performance computing are designed based on underlying
performance and execution models. While these models could successfully be employed in …

Methodology and infrastructure for tsn-based reproducible network experiments

M Bosk, F Rezabek, K Holzinger, AG Marino… - IEEE …, 2022 - ieeexplore.ieee.org
Time-Sensitive Networking (TSN) is a set of standards offering bounded latency and jitter,
low packet loss, and reliability for Ethernet-based systems while allowing best-effort and real …