Compound graph based hybrid data center topologies

Abstract

In large-scale data centers, many servers are interconnected via a dedicated networking structure, so as to satisfy specific design goals, such as the low equipment cost, the high network capacity, and the incremental expansion. The topological properties of a networking structure are critical factors that dominate the performance of the entire data center. The existing networking structures are either fully random or completely structured. Although such networking structures exhibit advantages on given aspects, they suffer obvious shortcomings in other essential fields. In this paper, we aim to design a hybrid topology, called R3, which is the compound graph of structured and random topology. It employs random regular graph as a unit cluster and connects many such clusters by means of a structured topology, i.e., the generalized hypercube. Consequently, the hybrid topology combines the advantages of structured as well as random topologies seamlessly. Meanwhile, a coloring-based algorithm is proposed for R3 to enable fast and accurate routing. R3 possesses many attractive characteristics, such as the modularity and expansibility at the cost of only increasing the degree of any node by one. Comprehensive evaluation results show that our hybrid topology possesses excellent topology properties and network performance.

Keywords

data center networking / compound graph / hybrid topology / routing design

References

[1] Al-Fares M, Loukissas A, Vahdat A. A scalable, commodity data center network architecture. ACM SIGCOMM Computer Communication Review, 2008, 38(4): 63−74

[2] Greenberg A, Hamilton J, Jain N, Kandula S, Kim C, Lahiri P, Maltz D, Patel P, Sengupta S. VL2: a scalable and flexible data center network. ACM SIGCOMM Computer Communication Review, 2009, 39(4): 51−62

[3] Guo D, Chen T, Li D, Li M, Liu Y, Chen G. Expandable and costeffective network structures for data centers using dual-port servers. IEEE Transactions on Computers, 2013, 62(7): 1303−1317

[4] Shin J Y, Wong B, Sirer E G. Small-world datacenters. In: Proceedings of the 2nd ACM Symposium on Cloud Computing. 2011, <?Pub Caret?>2

[5] Singla A, Hong C, Popa L, Godfrey P B. Jellyfish: networking data centers randomly. In: Proceedings of USENIX Symposium on Networked Systems Design and Implementation. 2012, 12: 17

[6] Gyarmati L, Trinh T A. Scafida: a scale-free network inspired data center architecture. ACM SIGCOMM Computer Communication Review, 2010, 40(5): 4−12

[7] Singla A, Godfrey P B, Kolla A. High throughput data center topology design. In: Proceedings of the 11th USENIX Symposium on Networked Systems Design and Implementation. 2014, 29−41

[8] Bhuyan L N, Agrawal D P. Generalized hypercube and hyperbus structures for a computer network. IEEE Transactions on Computers, 1984, 100(4): 323−333

[9] Bollobás, B. Random Graphs. New York: Springer, 1998

[10] Reitz F, Pohl M, Diehl S. Focused animation of dynamic compound graphs. In: Proceedings of the 13th IEEE International Conference on Information Visualisation. 2009, 679−684

[11] Guo C, Wu H, Tan K, Shi L, Zhang Y. Lu, S. Dcell: a scalable and faulttolerant network structure for data centers. ACM SIGCOMM Computer Communication Review, 2008, 38(4): 75−86

[12] Guo D, Chen H, He Y, Jin H, Chen C, Chen H, Shu Z, Huang, G. KCube: a novel architecture for interconnection networks. Information Processing Letters, 2010, 110(18): 821−825

[13] Guo D, Li C, Wu J, Zhou X. DCube: a family of high performance modular data centers using dual-Port servers. Elsevier Journal of Computer Communication, 2013, 53: 13−25

[14] Xie J, Guo D, Xu J, Luo L, Teng X. Efficient multicast routing on BCube-based data centers. KSII Transactions on Internet and Information Systems, 2014, 8(12): 4343−4355

[15] Bondy J A, Murty U S R. Graph Theory with Applications. London: Macmillan, 1976

[16] Brélaz D. New methods to color the vertices of a graph. Communications of the ACM, 1979, 22(4): 251−256

[17] Aljazzar H, Leue S. K^∗: a heuristic search algorithm for finding the K shortest paths. Artificial Intelligence, 2011, 175(18): 2129−2154

[18] Giannini E, Botta F, Borro P, Risso D, Romagnoli P, Fasoli A, Mele M R, Testa E, Mansi C, Savarino V. Platelet count/spleen diameter ratio: proposal and validation of a non-invasive parameter to predict the presence of oesophageal varices in patients with liver cirrhosis. Gut, 2003, 52(8): 1200−1205

[19] Guo J, Liu F, Zeng D, Lui J, Jin, H. A cooperative game based allocation for sharing data center networks. In: Proceedings of IEEE International Conference on Computer Commnication. 2013, 2139−2147

[20] Guo J, Liu F, Huang X, Lui, J. On efficient bandwidth allocation for traffic variability in datacenters. In: Proceedings of IEEE International Conference on Computer Commnication. 2014, 1572−1580

[21] Misra J, Gries D. A constructive proof of Vizing’s theorem. Information Processing Letters, 1992, 41(3): 131−133

[22] Liu V, Halperin D, Krishnamurthy A, Thomas E A. F10: A faulttolerant engineered network. In: Proceedings of USENIX Symposium on Networked Systems Design and Implementation. 2013, 399−412

[23] Chen K, Singla A, Singh A, Ramachandran K, Xu L, Zhang Y, Wen X, Chen Y. OSA: an optical switching architecture for data center networks with unprecedented flexibility. IEEE/ACMTransactions on Networking, 2014, 22(2): 498−511

[24] Guo C, Lu G, Li D, Wu H, Zhang X, Shi Y, Tian C, Zhang Y, Lu S. BCube: a high performance, server-centric network architecture for modular data centers. ACM SIGCOMM Computer Communication Review, 2009, 39(4): 63−74

[25] Wu H, Lu G, Li D, Guo C, Zhang Y. MDCube: a high performance network structure for modular data center interconnection. In: Proceedings of the 5th ACM International Conference on Emerging Networking Experiments and Technologies. 2009, 25−36

[26] Li D, Xu M, Zhao H, Fu X. Building mega data center from heterogeneous containers. In: Proceedings of the 19th IEEE International Conference on Network Protocols. 2011, 256−265

[27] Zhou X, Zhang Z, Zhu Y, Li Y, Kumar S, Vahdat A, Zhao B Y, Zheng, H. Mirror mirror on the ceiling: flexible wireless links for data centers. ACM SIGCOMM Computer Communication Review, 2012, 42(4): 443−454

[28] Hamedazimi N, Qazi Z, Gupta H, Vyas S, Samir R D, Jon P L, Himanshu S, Ashish T. FireFly: a reconfigurable wireless data center fabric using free-space optics. In: Proceedings of ACM Special Interest Group on Data Communication. 2014, 319−330

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2014 Higher Education Press and Springer-Verlag Berlin Heidelberg