Date of Award
Master of Science in Internet Engineering - (M.S.)
Electrical and Computer Engineering
Qing Gary Liu
This thesis introduces a new deadline aware flow scheduling scheme called Preemptive Efficient Queuing (PEQ). Unlike other schemes which use policies like EDF, SJF or fair share, this scheme aims to procrastinate flows as much as they can afford to, while keeping with their deadlines. Thereby, PEQ prioritizes more urgent flows that have shorter time to procrastinate, or cushion time. Results of PEQ are compared with state-of-the-art schemes for the transport of data-center flows, such as Preemptive Distributed Quick (PDQ) and Deadline-Driven Delivery (D3). The results show that PEQ outperforms D3 and PDQ. We identify results of an optimal scheme and show that PDQ’s performance is close to that, yet not quite the same. Therefore, PEQ is a heuristic scheme with the equivalent complexity of PDQ but its performance is closer to the optimal solution than that of PDQ. The presented results show that when short flows have longer deadlines and long flows have stricter deadlines, the performance of PEQ, measured in terms of application throughput (i.e., the number of flows completed on time), is about twice that of PDQ.
GopalaKrishna, VinayKrishna, "Preemptive efficient queueing for scheduling deadline-bound data center flows" (2017). Theses. 1871.