Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Mohammad Shojafar"'
Publikováno v:
IEEE Transactions on Green Communications and Networking. 6:1532-1542
Autor:
Mohammad Shojafar, Fangmin Li, Jemal H. Abawajy, Keqin Li, Zhou Zhou, Chowdhury Morshed, Kenli Li
Publikováno v:
IEEE Transactions on Sustainable Computing. 7:371-385
Publikováno v:
IEEE Transactions on Green Communications and Networking. 6:238-247
Publikováno v:
IEEE Transactions on Green Communications and Networking. 5:1747-1760
Publikováno v:
IEEE Transactions on Green Communications and Networking. 5:658-669
Cloud Data Centers (CDCs) have become a vital computing infrastructure for enterprises. However, CDCs consume substantial energy due to the increased demand for computing power, especially for the Internet of Things (IoT) applications. Although a gre
Autor:
Nicola Blefari-Melazzi, Fabio D'Andreagiovanni, Claudia Canali, Luca Chiaraviglio, Mohammad Shojafar, Riccardo Lancellotti
Publikováno v:
IEEE Transactions on Sustainable Computing
IEEE Transactions on Sustainable Computing, IEEE, 2018, 3 (4), pp.274-288
IEEE Transactions on Sustainable Computing, IEEE, 2018, 3 (4), pp.274-288
We target the problem of managing the power states of the servers in a Cloud Data Center (CDC) to jointly minimize the electricity consumption and the maintenance costs derived from the variation of power (and consequently of temperature) on the serv
Publikováno v:
Sustainable Cities and Society. 63:102364
In the digital era, the smart city can become an intelligent society by utilizing advances in emerging technologies. Specifically, the rapid adoption of blockchain technology has led a paradigm shift to a new digital smart city ecosystem. A broad spe
Publikováno v:
Energies, Vol 11, Iss 3, p 596 (2018)
Energy management systems are designed to monitor, optimize, and control the smart grid energy market. Demand-side management, considered as an essential part of the energy management system, can enable utility market operators to make better managem
We propose a novel model, called joint computing, data transmission and migration energy costs (JCDME), for the allocation of virtual elements (VEs), with the goal of minimizing the energy consumption in a software-defined cloud data center (SDDC). M
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26fe50b631aae5d53a5c0794f9b77e32
https://hdl.handle.net/11380/1151548
https://hdl.handle.net/11380/1151548