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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Beaty, K. Kochut, A. Shaikh, H. |
| Copyright Year | 2009 |
| Description | Author affiliation: IBM T.J. Watson Research Center, 19 Skyline Drive, Hawthorne, NY, 10532, USA (Beaty, K.; Kochut, A.; Shaikh, H.) |
| Abstract | Traditional desktop delivery model is based on a large number of distributed PCs executing operating system and desktop applications. Managing traditional desktop environments is incredibly challenging and costly. Tasks like installations, configuration changes, security measures require time-consuming procedures and dedicated deskside support. Also these distributed desktops are typically underutilized, resulting in low ROI for these assets. Further, this distributed computing model for desktops also creates a security concern as sensitive information could be compromised with stolen laptops or PCs. Desktop virtualization, which moves computation to the data center, allows users to access their applications and data using stateless “thin-client“ devices and therefore alleviates some of the problems of traditional desktop computing. Enterprises can now leverage the flexibility and cost-benefits of running users' desktops on virtual machines hosted at the data center to enhance business agility and reduce business risks, while lowering TCO. Recent research and development of cloud computing paradigm opens new possibilities of mass hosting of desktops and providing them as a service. However, transformation of legacy systems to desktop clouds as well as proper capacity provisioning is a challenging problem. Desktop cloud needs to be appropriately designed and provisioned to offer low response time and good working experience to desktop users while optimizing back-end resource usage and therefore minimizing provider's costs. This paper presents tools and approaches we have developed to facilitate fast and accurate planning for desktop clouds. We present desktop workload profiling and benchmarking tools as well as desktop to cloud transformation process enabling fast and accurate transition of legacy systems to new cloud-based model. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 502575 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424437511 |
| ISSN | 15302075 |
| DOI | 10.1109/IPDPS.2009.5161236 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-05-23 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Clouds Personal communication networks Information security Operating systems Environmental management Distributed computing Data security Portable computers Application virtualization Virtual machining |
| Content Type | Text |
| Resource Type | Article |
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