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 language | English |
---|---|
Title of host publication | HotConNet 2017 - Proceedings of the 2017 Workshop on Hot Topics in Container Networking and Networked Systems, Part of SIGCOMM 2017 |
Number of pages | 5 |
Publisher | Association for Computing Machinery |
Publication date | 11 Aug 2017 |
Pages | 7-11 |
ISBN (Electronic) | 9781450350587 |
DOIs | |
Publication status | Published - 11 Aug 2017 |
Event | 1st ACM SIGCOMM Hot Topics on Container Networking and Networked Systems Workshop, HotConNet 2017 - Los Angeles, United States Duration: 25 Aug 2017 → … |
Conference
Conference | 1st ACM SIGCOMM Hot Topics on Container Networking and Networked Systems Workshop, HotConNet 2017 |
---|---|
Country/Territory | United States |
City | Los Angeles |
Period | 25/08/2017 → … |
Sponsor | ACM SigComm |
Keywords
- Cloud computing
- Cluster scheduling
- Resource manager architecture