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Cited by 299

The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.

GreenCloud: A Packet-Level Simulator of Energy-Aware Cloud Computing Data Centers

Kliazovich, Dzmitry, Bouvry, Pascal, Audzevich, Yury, Khan, Samee Ullah·2010·2010 IEEE Global Telecommunications Conference GLOBECOM 2010

Abstract

Cloud computing data centers are becoming increasingly popular for the provisioning of computing resources. The cost and operating expenses of data centers have skyrocketed with the increase in computing capacity. Several governmental, industrial, and academic surveys indicate that the energy utilized by computing and communication units within a data center contributes to a considerable slice of the data center operational costs. In this paper, we present a simulation environment for energy-aware cloud computing data centers. Along with the workload distribution, the simulator is designed to capture details of the energy consumed by data center components (servers, switches, and links) as well as packet-level communication patterns in realistic setups. The simulation results obtained for two-tier, three- tier, and three-tier high-speed data center architectures demonstrate the effectiveness of the simulator in utilizing power management schema, such as voltage scaling, frequency scaling, and dynamic shutdown that are applied to the computing and networking components.

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Metadata

Authors
Kliazovich, D., Bouvry, P., Audzevich, Y., & Khan, S. U.
Venue
2010 IEEE Global Telecommunications Conference GLOBECOM 2010
Publisher
IEEE
Published
2010-12
Pages
1-5
OpenAlex
W2126491373
Cited by
299
References
22
FWCI
19.79
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: GreenCloud: A Packet-Level Simulator of Energy-Aware Cloud Computing Data Centers. https://app.cochat.ai/papers/10.1109/glocom.2010.5683561
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Kliazovich, D., Bouvry, P., Audzevich, Y., & Khan, S. U. (2010). GreenCloud: A Packet-Level Simulator of Energy-Aware Cloud Computing Data Centers. 2010 IEEE Global Telecommunications Conference GLOBECOM 2010. https://doi.org/10.1109/glocom.2010.5683561

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.