On the Efficiency of Network Architecture and Network Provisioning in Cloud Data Centers

PhD Thesis Proposal Defence


Title: "On the Efficiency of Network Architecture and Network Provisioning 
in Cloud Data Centers"

by

Mr. Ting WANG


Abstract:

Large-scale virtualized data centers enable the new era of could computing 
and provide the core infrastructure to meet the computing and storage 
requirements for both enterprise information technology needs and 
cloud-based services. To support the ever-growing cloud computing needs, 
the number of physical servers and virtual machines in today's data 
centers are increasing exponentially, which in turn leads to enormous 
challenges in designing cost-effective data center networks (DCN) and 
efficient resource sharing via network provisioning. With data 
availability and security at stake, the issues with data center networks 
are more critical than ever. As one of the most important determinants of 
network performance, the data center network architecture plays a dominate 
role in determining the system reliability, network capacity, latency and 
even the routing efficiency. With this motivation, in this thesis paper, 
we firstly present the design, implementation and evaluation of SprintNet, 
a novel server-centric network architecture for data centers. SprintNet 
achieves high performance in network capacity, fault tolerance, and 
network latency. SprintNet is also a scalable, yet low-diameter network 
architecture where the longest path length can be limited by four hops and 
is independent of the number of layers. In response to the critical 
shortcomings of the server-centric architectures, we then propose an 
effective hardware based approach to solve these issues and improve the 
network efficiency. Afterwards, we design two torus-based DCN 
architectures named NovaCube and CLOT, where the torus topology well 
implements the network locality forming the servers in close proximity of 
each other, which increases the communication efficiency. Moreover, in the 
highly multiplexed shared cloud data centers, in order to efficiently 
share the physical network resources among multiple tenants that have 
diversified virtual network topologies with different network 
characteristics, in this thesis we then propose an efficient online 
heuristic virtual network embedding framework called Presto. Presto 
operates with quite low computation complexity and greatly reduces the 
search space, which far outperforms other candidates. The goal of Presto 
is to maximize the economic revenue of infrastructure providers and 
increase the resource utilization while minimizing the embedding cost. 
Finally, we propose two efficient heuristic schemes to achieve an energy 
proportional data center network from the perspective of resource 
allocation, routing and flow scheduling, without compromising throughput 
and fault tolerance too much. Both theoretical analysis and extensive 
simulations have been conducted to evaluate the overall performance and 
effectiveness of these proposals.


Date:			Thursday, 28 May 2015

Time:                   2:00pm - 4:00pm

Venue:                  Room 2132B
                         lift 19

Committee Members:	Prof. Mounir Hamdi (Supervisor)
  			Prof. Qian Zhang (Chairperson)
 			Dr. Brahim Bensaou
  			Dr. Jogesh Muppala


**** ALL are Welcome ****