Incrementally upgradable data center architecture using hyperbolic tessellations

  • Authors:
  • MáRton Csernai;AndráS GulyáS;Attila KröSi;BaláZs Sonkoly;Gergely BiczóK

  • Affiliations:
  • Dept. of Telecommunications and Media Informatics, Budapest University of Technology and Economics, 1117 Budapest, Hungary;Dept. of Telecommunications and Media Informatics, Budapest University of Technology and Economics, 1117 Budapest, Hungary and Hungarian Academy of Science (MTA), Information System Research Group ...;Dept. of Telecommunications and Media Informatics, Budapest University of Technology and Economics, 1117 Budapest, Hungary and Hungarian Academy of Science (MTA), Information System Research Group ...;Dept. of Telecommunications and Media Informatics, Budapest University of Technology and Economics, 1117 Budapest, Hungary and MTA-BME Future Internet Research Group Széchenyi István t&# ...;Dept. of Telematics, Norwegian University of Science and Technology, N-7491 Trondheim, Norway

  • Venue:
  • Computer Networks: The International Journal of Computer and Telecommunications Networking
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

Current trends in cloud computing suggest that both large, public clouds and small, private clouds will proliferate in the near future. Operational requirements, such as high bandwidth, dependability and smooth manageability, are similar for both types of clouds and their underlying data center architecture. Such requirements can be satisfied with utilizing fully distributed, low-overhead mechanisms at the algorithm level, and an efficient layer 2 implementation at the practical level. On the other hand, owners of evolving private data centers are in dire need of an incrementally upgradeable architecture which supports a small roll-out and continuous expansion in small quanta. In order to satisfy both requirements, we propose Poincare, a data center architecture inspired by hyperbolic tessellations, which utilizes low-overhead, greedy routing. On one hand, Poincare scales to support large data centers with low diameter, high bisection bandwidth, inherent multipath and multicast capabilities, and efficient error recovery. On the other hand, Poincare supports incremental plug & play upgradability with regard to both servers and switches. We evaluate Poincare using analysis, extensive simulations and a prototype implementation.