Abstract
The increasing VM density in cloud hosting services makes careful management of physical resources such as CPU, memory, and I/O bandwidth within individual virtualized servers a priority. To maximize cost-efficiency, resource management needs to be coupled with the revenue generating mechanisms of cloud hosting: the service level agreements (SLAs) of hosted client applications. In this paper, we develop a server resource management framework that reduces data center resource management complexity substantially. Our solution implements revenue-driven dynamic resource allocation which continuously steers the resource distribution across hosted VMs within a server such as to maximize the SLA-generated revenue from the server. Our experimental evaluation for a VMware ESX hyper visor highlights the importance of both resource isolation and resource sharing across VMs. The empirical data shows a 7%-54% increase in total revenue generated for a mix of 10-25 VMs hosting either similar or diverse workloads when compared to using the currently available resource distribution mechanisms in ESX.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings - IEEE International Conference on Autonomic Computing, ICAC 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 197-206 |
| Number of pages | 10 |
| ISBN (Print) | 9781467369701 |
| DOIs | |
| State | Published - Sep 14 2015 |
| Externally published | Yes |
| Event | 12th IEEE International Conference on Autonomic Computing, ICAC 2015 - Grenoble, France Duration: Jul 7 2015 → Jul 10 2015 |
Other
| Other | 12th IEEE International Conference on Autonomic Computing, ICAC 2015 |
|---|---|
| Country | France |
| City | Grenoble |
| Period | 7/7/15 → 7/10/15 |
Keywords
- Cloud computing
- Data centers
- Resource allocation
- SLA
- Virtualization
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Software
- Control and Systems Engineering