On the design and analysis of Data Center Network architectures for interconnecting dual-port servers

Li, Dawei; Wu, Jie

doi:10.1109/infocom.2014.6848124

Cited by 28 publications

(8 citation statements)

References 17 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%

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%

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

Jahani¹,

Khanli²

2017

SCPE

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“…The directly-connected architectures integrate networking in the multi-port servers, while architectures connected through switches rely on switches to forward data. According to [23] [12] [25], forwarding capacity on multi-port server in hardware is close to that of COTS switches per port, as mentioned in [22] with c=1 in normalized switch delay. Servers in architecture connected through switches are equipped with small number of ports, of which the typical value is 1, 2, 3, and 4; while servers in directly-connected architectures are equipped with more ports.…”

Section: E With Other Architecturesmentioning

confidence: 99%

“…Fat-tree [2], VL2 [11], Portland [26], Jellyfish [28], S2 [32], Scafida [17], Poincaré [8], and SWDC [27] belong to the former category, in which servers are attachments of switches fabric. DCell [14], BCube [13], CamCube [1] [7], FiConn [21], HCN&BCN [15], DPillar [24], SWCube&SWKautz [22], and FSquare [23] fall into server-centric category, in which servers undertake the task of processing and forwarding data. According to the usage of switch, server-centric architectures fall into two categories: with and without using switches.…”

Section: Introductionmentioning

confidence: 99%

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

Shen

2016

Computer Communications

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Underlying network provides infrastructures for cloud computing in data centers. The server-centric architectures integrate network and compute, which place routing intelligence on servers. However, the existing multi-port server based architectures suffer from determined scale and large path length. In this paper, we propose FleCube, a flexibly-connected architecture on multi-port servers without using any switches. FleCube is recursively constructed on division of multiple ports in a server by means of complete graph. FleCube benefits data center networks by flexible scale and low diameter, as well as large bisection width and small bottleneck degree. Furthermore, we develop multi-path routing (MPR) to take advantage of parallel paths between any two servers. MPR adopts random forwarding to distribute traffic load and relieve network congestion. Analysis and comparisons with existing architectures show the advantages of FleCube. Evaluations under different degrees of network traffic demonstrate the merits of FleCube and the proposed routings.

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“…SWCube was proposed in [15], and the construction process of a SW Cube(n, k) is as follows: First, build a k dimensional generalized hypercube using n-port switches, denoted as H k r 1 ×r 2 ×···×r k where ri represents the radix of the i th dimension. Thus a node A can be represented by a k-tuple: A = a1a2 · · · a k , where ai ∈ [0, ri − 1], ∀i ∈ [1, k].…”

Section: Structures Of Ficonn Bcn and Swcubementioning

confidence: 99%

“…The diameter of SW Cube(n, k) is k + 1. It is claimed in [15] that given the number of ports of a switch, n, with diameter less than or equal to d, SW Cube accommodates more servers than BCN.…”

Section: Structures Of Ficonn Bcn and Swcubementioning

confidence: 99%

BCCC

Zeng

Yang

2014

Proceedings of the Tenth ACM/IEEE Symposium on Architectures for Networking and Communications Systems

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Designing a cost-effective network topology for data centers that can deliver sufficient bandwidth and consistent latency performance to a large number of servers has been an important and challenging problem. Many server-centric data center network topologies have been proposed recently due to their significant advantage in cost-efficiency and data center agility, such as BCube, FiConn and BCN. However, existing server-centric topologies are either not expandable or demanding prohibitive expansion cost. As the scale of data centers increases rapidly, the lack of expandability in existing server-centric data center networks imposes a severe obstacle for data center upgrade. In this paper, we present a novel server-centric data center network topology called BCube Connected Crossbars (BCCC), which can provide good network performance using inexpensive commodity off-the-shelf switches and commodity servers with only two NIC ports. A significant advantage of BCCC is its good expandability: When there is a need for expansion, we can easily add new servers and switches into the existing BCCC with little alteration of the existing structure. Meanwhile, BCCC can accommodate a large number of servers while keeping a very small network diameter, as a particular desirable property of BCCC is that its diameter increases only linearly to the network order (i.e., the number of dimensions), which is superior to most of existing server-centric networks, such as FiConn and BCN, whose diameters increase exponentially with network order. Additionally, there are a rich set of parallel paths with similar length between any pair of servers in BCCC, which enables BCCC to not only deliver sufficient bandwidth capacity and predictable latency to end hosts, but also provide graceful performance degradation in case of link failure. We conduct comprehensive comparisons between BCCC with other popular server-centric network topologies, such as FiConn and BCN. We also propose an effective addressing scheme and routing algorithms for BCCC. We show that BCCC has significant advantages over existing server-centric topologies in http://dx.

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On the design and analysis of Data Center Network architectures for interconnecting dual-port servers

Cited by 28 publications

References 17 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

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

BCCC

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