Utility-directed resource allocation in virtual desktop clouds
Computer Networks: The International Journal of Computer and Telecommunications Networking
Program Ultra-Dispatcher for launching applications in a customization manner on cloud computing
Journal of Network and Computer Applications
Giving users an edge: A flexible Cloud model and its application for multimedia
Future Generation Computer Systems
Discrete event simulation model for analysis of horizontal scaling in the cloud computing model
Proceedings of the Winter Simulation Conference
International Journal of Web Services Research
MiG: efficient migration of desktop VMs using semantic compression
USENIX ATC'13 Proceedings of the 2013 USENIX conference on Annual Technical Conference
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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.