Exploring hardware support for resource management in the data centre

  • Qianqiao Chen

Student thesis: Doctoral ThesisDoctor of Philosophy (PhD)

Abstract

The management of data centre resources has become important as their size, complexity, and power consumption are increasing. Efficient resource utilisation helps reduce the construction and maintenance costs of data centres. Using that background as a starting point, this thesis explores hardware support that increases the efficiency of resources in data centres.

Either optimising existing data centre architectures or establishing new data centre architectures has a strong requirement on the data centre network. Therefore, this thesis establishes a network interface equipped with the new OptoPHY optical transceiver. The feasibility and quality of an optical transceiver when it is combined with a server board are evaluated by comparing it with a traditional SFP+ transceiver.

The reconfigurable FPGA platforms have a great potential to reduce power consumption and maintenance costs due to their high-volume programmable parallel processing features. Therefore, this thesis tries to explore the management of FPGA resources in a data centre environment.

Based on partial reconfiguration technology, an architecture that would virtualise the FPGA platforms is proposed and implemented. Resources on the FPGA chip are partitioned into several regions. Furthermore, an interconnect system is implemented to share I/Os with all of the regions and enable communication between regions.

When several FPGA platforms are combined for pipelined stream processing, it is difficult to perform function reconfiguration over multiple FPGA platforms that have a short downtime. That is because it is hard to predict the network delay of reconfiguration requests sent from a centralised manager. Therefore, a new network protocol is proposed, and the associated protocol processor is implemented to synchronise the reconfigurations of related FPGA platforms.
Date of Award25 Sep 2018
Original languageEnglish
Awarding Institution
  • The University of Bristol
SupervisorGeorgios Zervas (Supervisor) & Jose L Nunez-Yanez (Supervisor)

Cite this

Exploring hardware support for resource management in the data centre
Chen, Q. (Author). 25 Sep 2018

Student thesis: Doctoral ThesisDoctor of Philosophy (PhD)