Rio, MJG;
Griffin, D;
Phan, TK;
Maini, E;
(2016)
Hierarchical Service Placement for Demanding Applications.
In:
2016 IEEE Globecom Workshops (GC Wkshps).
IEEE
Preview |
Text
Rio_globecom.pdf - Accepted Version Download (1MB) | Preview |
Abstract
The increasing scale of cloud environments requires more scalable orchestration systems for determining which physical resources are responsible for processing service requests. A centralised service placement lacks scalability while a fully decentralised approach only has a limited view of the system. For these reasons, this paper investigates a hierarchical approach for service placement in a distributed environment, which increases scalability while maintains high service placement quality. First, we design a polynomial optimisation algorithm to place services in cloud data centers based on our novel utility function. Then, we describe a hierarchical model with the need to only know a small subset of the data required by the global optimisation formulation. Simulations show that our approach is scalable and performs well, close to the centralised model.
| Type: | Proceedings paper |
|---|---|
| Title: | Hierarchical Service Placement for Demanding Applications |
| Event: | 2016 IEEE Global Communications Conference (GLOBECOM) |
| Location: | Washington DC, USA |
| Dates: | 04 December 2016 - 08 December 2016 |
| ISBN-13: | 9781509013289 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/GLOCOMW.2016.7848922 |
| Publisher version: | http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp... |
| Language: | English |
| Additional information: | © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. |
| Keywords: | Scalability, Optimization, Quality of service, Cloud computing, Servers, Linear programming, Algorithm design and analysis |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1523656 |
Archive Staff Only
 |
View Item |
