The internet of things, fog and cloud continuum: Integration and challenges

L Bittencourt, R Immich, R Sakellariou, N Fonseca… - Internet of Things, 2018 - Elsevier
Abstract The Internet of Things needs for computing power and storage are expected to
remain on the rise in the next decade. Consequently, the amount of data generated by …

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 …

Rapl in action: Experiences in using rapl for power measurements

KN Khan, M Hirki, T Niemi, JK Nurminen… - ACM Transactions on …, 2018 - dl.acm.org
To improve energy efficiency and comply with the power budgets, it is important to be able to
measure the power consumption of cloud computing servers. Intel's Running Average …

An energy-efficient, QoS-aware and cost-effective scheduling approach for real-time workflow applications in cloud computing systems utilizing DVFS and …

GL Stavrinides, HD Karatza - Future Generation Computer Systems, 2019 - Elsevier
Green cloud computing attracts significant attention from both academia and industry. One of
the major challenges involved, is to provide a high level of Quality of Service (QoS) in a cost …

Softsku: Optimizing server architectures for microservice diversity@ scale

A Sriraman, A Dhanotia, TF Wenisch - Proceedings of the 46th …, 2019 - dl.acm.org
The variety and complexity of microservices in warehouse-scale data centers has grown
precipitously over the last few years to support a growing user base and an evolving product …

An experimental comparison of software-based power meters: focus on CPU and GPU

M Jay, V Ostapenco, L Lefèvre… - 2023 IEEE/ACM …, 2023 - ieeexplore.ieee.org
The global energy demand for digital activities is constantly growing. Computing nodes and
cloud services are at the heart of these activities. Understanding their energy consumption is …

A validation of DRAM RAPL power measurements

S Desrochers, C Paradis, VM Weaver - Proceedings of the Second …, 2016 - dl.acm.org
Recent Intel processors support the Running Average Power Level (RAPL) interface, which
among other things provides estimated energy measurements for the CPUs, integrated …

[PDF][PDF] Recognition of shapes by editing shock graphs.

TB Sebastian, PN Klein, BB Kimia - ICCV, 2001 - cs.brown.edu
This paper presents a novel recognition framework which is based on matching shock
graphs of 2D shape outlines, where the distance between two shapes is defined to be the …

A comparative study of methods for measurement of energy of computing

M Fahad, A Shahid, RR Manumachu, A Lastovetsky - Energies, 2019 - mdpi.com
Energy of computing is a serious environmental concern and mitigating it is an important
technological challenge. Accurate measurement of energy consumption during an …

Memory performance of AMD EPYC Rome and Intel Cascade Lake SP server processors

M Velten, R Schöne, T Ilsche… - … of the 2022 ACM/SPEC on …, 2022 - dl.acm.org
Modern processors, in particular within the server segment, integrate more cores with each
generation. This increases their complexity in general, and that of the memory hierarchy in …