- Library Home /
- Search Collections /
- Open Collections /
- Browse Collections /
- UBC Theses and Dissertations /
- Distributed join-the-idle-queue : new algorithm and...
Open Collections
UBC Theses and Dissertations
UBC Theses and Dissertations
Distributed join-the-idle-queue : new algorithm and analysis Lu, Yonghui
Abstract
Load balancing plays an important role in large-scale cloud systems. Power-of-d-choice (Pod) and Join-the-idle-queue (JIQ) are two popular load balancing strate-gies. In this thesis, two new load balancing algorithms are proposed that combinePodand JIQ, leading to a better performance-cost trade-off. This thesis showsanalysis of these two new algorithms by using mean-field approximation and eval-uates their performance through extensive simulations and system implementationon Amazon EC2.
Item Metadata
| Title |
Distributed join-the-idle-queue : new algorithm and analysis
|
| Creator | |
| Publisher |
University of British Columbia
|
| Date Issued |
2018
|
| Description |
Load balancing plays an important role in large-scale cloud systems. Power-of-d-choice (Pod) and Join-the-idle-queue (JIQ) are two popular load balancing strate-gies. In this thesis, two new load balancing algorithms are proposed that combinePodand JIQ, leading to a better performance-cost trade-off. This thesis showsanalysis of these two new algorithms by using mean-field approximation and eval-uates their performance through extensive simulations and system implementationon Amazon EC2.
|
| Genre | |
| Type | |
| Language |
eng
|
| Date Available |
2018-12-19
|
| Provider |
Vancouver : University of British Columbia Library
|
| Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
|
| DOI |
10.14288/1.0375787
|
| URI | |
| Degree | |
| Program | |
| Affiliation | |
| Degree Grantor |
University of British Columbia
|
| Graduation Date |
2019-02
|
| Campus | |
| Scholarly Level |
Graduate
|
| Rights URI | |
| Aggregated Source Repository |
DSpace
|
Item Media
Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International