Advanced search
2 files | 2.09 MB

Efficient resource management for virtual desktop cloud computing

Lien Deboosere (UGent) , Bert Vankeirsbilck (UGent) , Pieter Simoens (UGent) , Filip De Turck (UGent) , Bart Dhoedt (UGent) and Piet Demeester (UGent)
(2012) JOURNAL OF SUPERCOMPUTING. 62(2). p.741-767
Author
Organization
Abstract
In virtual desktop cloud computing, user applications are executed in virtual desktops on remote servers. This offers great advantages in terms of usability and resource utilization; however, handling a large amount of clients in the most efficient manner poses important challenges. Especially deciding how many clients to handle on one server, and where to execute the user applications at each time is important. Assigning too many users to one server leads to customer dissatisfaction, while assigning too little leads to higher investments costs. We study different aspects to optimize the resource usage and customer satisfaction. The results of the paper indicate that the resource utilization can increase with 29% by applying the proposed optimizations. Up to 36.6% energy can be saved when the size of the online server pool is adapted to the system load by putting redundant hosts into sleep mode.
Keywords
MACHINES, IBCN, ALGORITHMS, LIVE MIGRATION, Cloud computing, Resource overbooking, Resource allocation, Resource reallocation, Consolidation

Downloads

  • 5492 i.pdf
    • full text
    • |
    • open access
    • |
    • PDF
    • |
    • 670.23 KB
  • (...).pdf
    • full text
    • |
    • UGent only
    • |
    • PDF
    • |
    • 1.42 MB

Citation

Please use this url to cite or link to this publication:

Chicago
Deboosere, Lien, Bert Vankeirsbilck, Pieter Simoens, Filip De Turck, Bart Dhoedt, and Piet Demeester. 2012. “Efficient Resource Management for Virtual Desktop Cloud Computing.” Journal of Supercomputing 62 (2): 741–767.
APA
Deboosere, L., Vankeirsbilck, B., Simoens, P., De Turck, F., Dhoedt, B., & Demeester, P. (2012). Efficient resource management for virtual desktop cloud computing. JOURNAL OF SUPERCOMPUTING, 62(2), 741–767.
Vancouver
1.
Deboosere L, Vankeirsbilck B, Simoens P, De Turck F, Dhoedt B, Demeester P. Efficient resource management for virtual desktop cloud computing. JOURNAL OF SUPERCOMPUTING. Springer; 2012;62(2):741–67.
MLA
Deboosere, Lien et al. “Efficient Resource Management for Virtual Desktop Cloud Computing.” JOURNAL OF SUPERCOMPUTING 62.2 (2012): 741–767. Print.
@article{3234720,
  abstract     = {In virtual desktop cloud computing, user applications are executed in virtual desktops on remote servers. This offers great advantages in terms of usability and resource utilization; however, handling a large amount of clients in the most efficient manner poses important challenges. Especially deciding how many clients to handle on one server, and where to execute the user applications at each time is important. Assigning too many users to one server leads to customer dissatisfaction, while assigning too little leads to higher investments costs. We study different aspects to optimize the resource usage and customer satisfaction. The results of the paper indicate that the resource utilization can increase with 29% by applying the proposed optimizations. Up to 36.6% energy can be saved when the size of the online server pool is adapted to the system load by putting redundant hosts into sleep mode.},
  author       = {Deboosere, Lien and Vankeirsbilck, Bert and Simoens, Pieter and De Turck, Filip and Dhoedt, Bart and Demeester, Piet},
  issn         = {0920-8542},
  journal      = {JOURNAL OF SUPERCOMPUTING},
  keywords     = {MACHINES,IBCN,ALGORITHMS,LIVE MIGRATION,Cloud computing,Resource overbooking,Resource allocation,Resource reallocation,Consolidation},
  language     = {eng},
  number       = {2},
  pages        = {741--767},
  publisher    = {Springer},
  title        = {Efficient resource management for virtual desktop cloud computing},
  url          = {http://dx.doi.org/10.1007/s11227-012-0747-0},
  volume       = {62},
  year         = {2012},
}

Altmetric
View in Altmetric
Web of Science
Times cited: