Titlebook: Data Center Networking; Network Topologies a Deke Guo Book 2022 Springer Nature Singapore Pte Ltd. 2022 computer networks.distributed compu

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書目名稱Data Center Networking影響因子(影響力)




書目名稱Data Center Networking影響因子(影響力)學(xué)科排名




書目名稱Data Center Networking網(wǎng)絡(luò)公開度




書目名稱Data Center Networking網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Data Center Networking被引頻次




書目名稱Data Center Networking被引頻次學(xué)科排名




書目名稱Data Center Networking年度引用




書目名稱Data Center Networking年度引用學(xué)科排名




書目名稱Data Center Networking讀者反饋




書目名稱Data Center Networking讀者反饋學(xué)科排名

Noisome

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a switch-centric DCN, a modular DCN, a wireless DCN, and a .This book provides a comprehensive reference in large data center networking. It first summarizes the developing trend of DCNs, and reports four novel DCNs, including a switch-centric DCN, a modular DCN, a wireless DCN, and a hybrid DCN. ?

A精確的

Latika Pandey,Ayyanadar Arunachalamntial application fields of data centers, such as networked computing, networked storage, the data analysis. In the end, we summarize representative challenges of data center networking, including the functionality customization, network virtualization, the scalable network topology, traffic management, et al.

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現(xiàn)暈光

Introduction of?Data Centerntial application fields of data centers, such as networked computing, networked storage, the data analysis. In the end, we summarize representative challenges of data center networking, including the functionality customization, network virtualization, the scalable network topology, traffic management, et al.

現(xiàn)暈光

Explosive

data flows and thus directly to lower down the network traffic resulting from such data transfers. In particular, the book reports the in-network aggregation of incast transfer, shuffle transfer, uncertain incast transfer, and the cooperative scheduling of uncertain multicast transfer..978-981-16-9370-0978-981-16-9368-7

四牛在彎曲

Introducing Climate Change as Societal Riskrandom topology. More precisely, R3 employs a random regular graph as a unit cluster and connects many such clusters by means of the generalized hypercube. R3 combines the advantages of the random regular graph and generalized hypercube, while effectively avoiding the shortcomings of the above two topologies.

助記

https://doi.org/10.1007/978-3-031-29831-8rwarding mode based on Bloom filters, so as to achieve the desired in-network aggregation effect for a large number of coexisting Shuffle transfers. Although this chapter chooses BCube as the network topology, the concept of Shuffle in-network aggregation is applicable to other types of data center topologies.