Private Cloud Computing

Private cloud computing enables you to consolidate diverse enterprise systems into one that is cloud-based and can be accessed by end-users seamlessly, regardless of their location or changes in overall demand. Expert authors Steve Smoot and Nam K. Tan distill their years of networking experience to describe how to build enterprise networks to create a private cloud. With their techniques you'll create cost-saving designs and increase the flexibility of your enterprise, while maintaining the security and control of an internal network. Private Cloud Computing offers a complete cloud architecture for enterprise networking by synthesizing WAN optimization, next-generation data centers, and virtualization in a network-friendly way, tying them together into a complete solution that can be progressively migrated to as time and resources permit. - Describes next-generation data center architectures such as the virtual access-layer, the unified data center fabric and the 'rack-and-roll' deployment model - Provides an overview of cloud security and cloud management from the server virtualization perspective - Presents real-world case studies, configuration and examples that allow you to easily apply practical know-how to your existing enterprise environment - Offers effective private cloud computing solutions to simplify the costly and problematic challenge of enterprise networking and branch server consolidation

Stephen R. Smoot, Ph.D., helped start up Riverbed Technology in February 2003, and currently serves as senior vice president of technical operations, running the technical support, technical publications, technical marketing, and global consulting engineering groups. He spends his time thinking about where technology is going and helping customers to solve their problems. Smoot previously worked on acceleration and video at Inktomi Corporation (now a part of Yahoo). He joined Inktomi, following its acquisition of FastForward Networks, which designed overlay network technology for streaming video with millions of viewers over the Internet. Smoot previously worked at Imedia (Motorola), Honeywell, and IBM. Smoot received his doctorate in computer science from the University of California at Berkeley, working with Lawrence Rowe. His dissertation, 'Maximizing Perceived Quality at Given Bit-Rates in MPEG Encoding,” describes various aspects of creating MPEG video from its original video source. He also holds a master's degree in computer science from the University of California, Berkeley. His undergraduate education was at MIT where he received bachelor's degrees in computer science and mathematics.