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 |
Fingerprint
Keywords
- Cloud computing
- Data centers
- Resource allocation
- SLA
- Virtualization
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Software
- Control and Systems Engineering
Cite this
Revenue driven resource allocation for virtualized data centers. / Kundu, Sajib; Rangaswami, Raju; Zhao, Ming; Gulati, Ajay; Dutta, Kaushik.
Proceedings - IEEE International Conference on Autonomic Computing, ICAC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 197-206 7266964.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Revenue driven resource allocation for virtualized data centers
AU - Kundu, Sajib
AU - Rangaswami, Raju
AU - Zhao, Ming
AU - Gulati, Ajay
AU - Dutta, Kaushik
PY - 2015/9/14
Y1 - 2015/9/14
N2 - 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.
AB - 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.
KW - Cloud computing
KW - Data centers
KW - Resource allocation
KW - SLA
KW - Virtualization
UR - http://www.scopus.com/inward/record.url?scp=84961774349&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84961774349&partnerID=8YFLogxK
U2 - 10.1109/ICAC.2015.40
DO - 10.1109/ICAC.2015.40
M3 - Conference contribution
AN - SCOPUS:84961774349
SN - 9781467369701
SP - 197
EP - 206
BT - Proceedings - IEEE International Conference on Autonomic Computing, ICAC 2015
PB - Institute of Electrical and Electronics Engineers Inc.
ER -