Affiliation:
1. Carnegie Mellon University, Pittsburgh, PA, USA
Abstract
Recent progress in queueing theory has made it possible to analyze the mean response time of multiserver queueing systems under advanced scheduling policies. However, this progress has so far been limited to the metric of mean response time. In practice, there are a wide variety of other metrics that can be more important. One such metric is mean slowdown, which is the average ratio between a job's response time and its size. While it is known that the "RS" policy minimizes mean slowdown in the single-server M/G/1, the problem is open for multiserver systems, including the M/G/k and load-balancing systems.
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Networks and Communications,Hardware and Architecture,Software
Reference7 articles.
1. On the relation between customer and time averages in queues
2. Isaac Grosof , Ziv Scully , and Mor Harchol-Balter . 2018. SRPT for Multiserver Systems. Performance Evaluation 127--128 (Nov . 2018 ), 154--175. Isaac Grosof, Ziv Scully, and Mor Harchol-Balter. 2018. SRPT for Multiserver Systems. Performance Evaluation 127--128 (Nov. 2018), 154--175.
3. Load Balancing Guardrails
4. Minimizing slowdown in heterogeneous size-aware dispatching systems
5. Rate conservation laws: A survey