The grand CRU challenge

Marcel Blöcher, Malte Viering, Stefan Schmid, Patrick Eugster

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

One of the main objectives of any cluster management system is the maximization of cluster resource utilization (CRU). In this paper, we argue that there is a dilemma underlying the challenge of maximizing CRU, as soon as network resources enter the picture. In contrast to local resources which can be handled in a more isolated fashion, global network resources are namely shared, and their allocation is intertwined with that of local resources. For effective resource management, either applications thus have to learn more about the infrastructure, or the resource manager has to understand application semantics - both options violate the separation of applications from the underlying infrastructure strived for by resource managers. This paper makes the case for a resource management system that addresses the dilemma, and presents first ideas.

Original languageEnglish
Title of host publicationHotConNet 2017 - Proceedings of the 2017 Workshop on Hot Topics in Container Networking and Networked Systems, Part of SIGCOMM 2017
Number of pages5
PublisherAssociation for Computing Machinery
Publication date11 Aug 2017
Pages7-11
ISBN (Electronic)9781450350587
DOIs
Publication statusPublished - 11 Aug 2017
Event1st ACM SIGCOMM Hot Topics on Container Networking and Networked Systems Workshop, HotConNet 2017 - Los Angeles, United States
Duration: 25 Aug 2017 → …

Conference

Conference1st ACM SIGCOMM Hot Topics on Container Networking and Networked Systems Workshop, HotConNet 2017
Country/TerritoryUnited States
CityLos Angeles
Period25/08/2017 → …
SponsorACM SigComm

Keywords

  • Cloud computing
  • Cluster scheduling
  • Resource manager architecture

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