Q *: Energy and delay-efficient dynamic queue management in TCP/IP virtualized data centers-Reference-Cited by-同舟云学术

Q *: Energy and delay-efficient dynamic queue management in TCP/IP virtualized data centers

Published:2017-04 Issue: Volume:102 Page:89-106
ISSN:0140-3664
Container-title:Computer Communications
language:en
Short-container-title:Computer Communications

Author:

Baccarelli Enzo,Vinueza Naranjo Paola G.,Shojafar Mohammad,Scarpiniti Michele^ORCID

Publisher

Elsevier BV

Subject

Computer Networks and Communications

Reference39 articles.

1. Software as a service for efficient cloud computing;Kumar;Int. J. Res. Eng. Technol. (IJRET),2014

2. Cloud Data Centers and Cost Modeling;Wu,2015

3. Energy proportional datacenter networks;Abts,2010

4. Fog computing and its real time applications;Peter;Int. J. Emerging Technol. Adv. Eng. (IJETAE),2015

5. M. Shojafar, N. Cordeschi, E. Baccarelli, Energy-efficient adaptive resource management for real-time vehicular cloud services, IEEE Trans. Cloud Comput. 10.1109/TCC.2016.2551747.

Cited by 32 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. QoS-aware energy-efficient workload routing and server speed control policy in data centers: A robust queueing theoretic approach;IISE Transactions;2023-03-30

2. AFAFed—Asynchronous Fair Adaptive Federated learning for IoT stream applications;Computer Communications;2022-11

3. How much BiGAN and CycleGAN-learned hidden features are effective for COVID-19 detection from CT images? A comparative study;The Journal of Supercomputing;2022-08-26

4. Optimized task scheduling in cloud computing using improved multi-verse optimizer;Cluster Computing;2022-07-04

5. A novel unsupervised approach based on the hidden features of Deep Denoising Autoencoders for COVID-19 disease detection;Expert Systems with Applications;2022-04