Kraken: Towards Elastic Performance Guarantees in Multi-tenant Data Centers

ABSTRACT

It is well-known that without strict network bandwidth guarantees, application performance in multi-tenant cloud environments is unpredictable. While recently proposed systems support explicit bandwidth reservation mechanisms, they require the resource schedules to be announced ahead of time. We argue that this is not practical in today's cloud environments, where application demands are inherently unpredictable, e.g., due to stragglers. We in this paper present KRAKEN, a system that allows tenants to dynamically request and update minimum resource guarantees for both network bandwidth and compute resources at runtime. Unlike previous work, Kraken does not require prior knowledge about the resource needs of the tenants' applications but allows tenants to modify their reservation at runtime. Kraken achieves this through an online resource reservation scheme, and by optimally embedding and reconfiguring virtual networks.

References

1. H. Ballani, P. Costa, T. Karagiannis, and A. Rowstron. Towards predictable datacenter networks. In Proc. ACM SIGCOMM, 2011.
2. C. Guo, G. Lu, H. J. Wang, S. Yang, C. Kong, P. Sun, W. Wu, and Y. Zhang. SecondNet: A data center network virtualization architecture with bandwidth guarantees. In Proc. ACM CoNEXT, 2010.
3. J. C. Mogul and L. Popa. What we talk about when we talk about cloud network performance. SIGCOMM CCR, 42(5):44--48, 2012.
4. D. Xie, N. Ding, Y. C. Hu, and R. Kompella. The only constant is change: incorporating time-varying network reservations in data centers. In Proc. ACM SIGCOMM, 2012.

Index Terms

• Computer systems organization

  • Architectures

    • Distributed architectures

• Software and its engineering

  • Software organization and properties

    • Software system structures

      • Distributed systems organizing principles