FleCube: A flexibly-connected architecture of data center networks on multi-port servers

Li, Deshun; Shen, Yanming; Li, Keqiu

doi:10.1016/j.comcom.2015.09.023

Cited by 16 publications

(14 citation statements)

References 16 publications

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“…Server centric architecture also has a switch but use the servers as a router. DCell [24], BCube [25], Ficonn [26], FlatNet [27], HCN & BCN [28], Dpillar [29], SWCube [30], FleCube [31,32], DCube [33], Fsquare [34] and sprintNet [35] are server-centric architecture. Using the switch in this kind of architecture may lead to bottleneck and increase cost and scalability of the network.…”

Section: Related Workmentioning

confidence: 99%

“…Cloud computing uses data center networking (DCN) as an infrastructure to provide services [1]. The powers of data centers should be enhanced with an increase in the service request and computational, storage and processing requirements [2,3]. Therefore the architecture of data centers must be scalable and loosely as possible to add and/or subtract server/s to data centers [4,5].…”

mentioning

confidence: 99%

“…Therefore considering these issues will help in designing new data center architecture. Design goals of the data center are; scalability, fault tolerance, latency, network capacity, simplicity, flexibility, and network configuration that will describe in detail [2,32].…”

mentioning

confidence: 99%

“…This kind of architectures, use a basic structure that repeated with adding any new server and known as modularity architectures. Data center architectures include in three general categories: switch-centeric architecture, server-centeric architecture and switchless architecture [2,6,7]. First two categories have the switch in their architecture to connect servers.…”

mentioning

confidence: 99%

“…But in server-centric architecture, servers set up network routing. The last one not uses the switch in DC architecture and connects servers directly using multi-port servers [2]. Using any switch in DC architecture has some advantages like; reducing the cost and increasing the network efficiency.…”

mentioning

confidence: 99%

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MooreCube: A Scalable and Flexible Architecture for Cloud Computing Data Centers on Multi-port Servers

Jahani¹,

Khanli²

2017

SCPE

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Networks provide the infrastructure of cloud computing data centers. Servers in data centers grow to respond to the growing user demands. Data center scalability and flexibility in the use of multi-port servers is a challenging issue. Heretofore, no method has been considered for scalability and flexibility issues. This paper proposes a new architecture called MooreCube that can increase network scalability and decrease network diameter as well as increase flexibility. MooreCube is a scalable and flexible architecture that each multi-port server directly connected to other servers via bi-directional links, without using any switch. Furthermore, MooreCube is a recursively defined architecture that uses Moore graph as Building Block (BB) structure and uses the hierarchical structure to meet high scalability. The paper proposes a multipath routing to increase fault tolerance and decrease links burden. MooreCube architecture compared with other switchless architectures that use reserved ports to increase scalability. The simulation results show MooreCube increase scalability and flexibility along with decrease the diameter of the network.

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Section: Related Workmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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confidence: 99%

mentioning

confidence: 99%

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MooreCube: A Scalable and Flexible Architecture for Cloud Computing Data Centers on Multi-port Servers

Jahani¹,

Khanli²

2017

SCPE

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Topology analysis and routing algorithms design for PTNet network

Han

Zhang

et al. 2020

Concurrency and Computation

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Summary Data center network (DCN) is used for transmission, storage, and processing of big data, which plays an important role in cloud computing and CDN distribution. Network topology and routing algorithm are its core research content and key technical issues. The traditional network topology is difficult to guarantee the quality of service in scalability and fault tolerance. The server‐centric DCN topology can ensure the scale of the DCN by recursively increasing the number of network nodes and links. Relative to the Dcell, BCube, and BCCC typical network topology, PTNet network as a typical representative of a new type of the server‐centric DCN topology, which has more advantages in scalability, fault tolerance, and so on. The PTNet network topology is theoretically analyzed in terms of network diameter, bottleneck throughput, and total number of links in the network. Based on the deep research of PTNet network, this article analyzes and studies the network topology, multicast, and broadcast routing algorithm.

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Doughnutie: An efficient and low‐latency cloud data center network architecture

Nasirian

Faghani

Farzanegan

2021

Concurrency and Computation

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Data center network provides the supporting infrastructure for cloud computing. Torus interconnection network is widely employed in the cloud data center networks. However, its long network diameter and average path length (APL) are prohibitive factors for supporting the delay-sensitive applications. With the aim of meeting latency, network capacity, fault-tolerance, scalability, and energy-efficiency requirements of cloud data center networks, we propose a new data center network architecture, named Doughnutie. Doughnutie is built by adding a number of flyway connections to the base Torus network to ameliorate its performance. Doughnutie does not follow a single principle for establishing all of its flyways and consequently, each part of the network can profit from all local, faraway, and neither-local-nor-faraway types of connection. Doughnutie decreases both network diameter and APL, which in turn leads to higher communication efficiency and lower network latency. Moreover, an exclusively designed loop-free load-balanced adaptive routing algorithm, named Doughnuter, is proposed.Employing the Doughnuter routing algorithm results in more efficient utilization of all the Doughnutie network resources. Theoretical analysis and simulation results also prove the superiorities of Doughnutie in throughput, load balancing, fault tolerance, and energy-efficiency.

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FleCube: A flexibly-connected architecture of data center networks on multi-port servers

Cited by 16 publications

References 16 publications

MooreCube: A Scalable and Flexible Architecture for Cloud Computing Data Centers on Multi-port Servers

MooreCube: A Scalable and Flexible Architecture for Cloud Computing Data Centers on Multi-port Servers

Topology analysis and routing algorithms design for PTNet network

Doughnutie: An efficient and low‐latency cloud data center network architecture

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