Presentation on theme: "Joint work: Yuezhi Zhou, Yaoxue Zhang, Tsinghua University, China Yinglian Xie, Carnegie Mellon University Virtual Disk based Centralized Management for."— Presentation transcript:
Joint work: Yuezhi Zhou, Yaoxue Zhang, Tsinghua University, China Yinglian Xie, Carnegie Mellon University Virtual Disk based Centralized Management for Enterprise Networks
Challenge of Enterprise Systems Management of enterprise network systems based on PCs is still a big challenge: –PC: Full function desktop computer with native software and data –Software maintenance –Security Become more complicated with diverse types of OSes and applications coexisting !
Educational Classrooms 1 Every machine has to be installed with OSes and applications 2 System states must be cleaned for each next class
Military Environments 1 Devices can access software and data only in a limited physical area 2 No software or data can be carried outside the network boundary Failed!!! Failed!!!
Existing Management Tools Automatically pushing installation images and patches – Examples: Marimba, Ghost Difficult to maintain consistency across machines –Vulnerable to errors or attacks due to the existence of local data –Out of centralized control Failed
Why Centralized Management Distributed diskless thick clients, yet centralized repositories of all software and data –Reduced software maintenance time –Enhanced security –Availability –Heterogeneous OS and application support –Easy software migration –Easy data backup and recovery
Why Not Thin Clients Performance –Poor scalability due to centralized computing –Not appropriate for CPU/memory intensive applications Cost –Need powerful server –Can not leverage the cheap and powerful computing resources of clients
TransCom System Overview Client: bare-hardware like computing platform Sever: Regular desktop computers Connected by Ethernet One such server can support 30-50 clients
Virtual Disk Concept Simulate traditional disks, with disk images holding the actual contents on the server Support heterogeneous OSes and applications transparently
Boot, Sharing, and Isolation Remote OS boot –Launch BIOS-enabled Vdisk access function first (replace INT 13H) –Load OS, as if with regular hard disks Vdisk sharing, isolation, and recovery –Use different types of Vdisk –Copy On Write (COW) for system image protection and recovery
Implementation and Deployment BeforeAfter Maintenance time4-8 hours per week 30 minutes per week Availability4-8 hours service down time every Thursday No service interruption SecurityVirus found, physical theft No virus and worms found, no physical theft Location: Central South University of Forestry & Technology in China Usage: e-learning classroom for online English Duration time: from May 2005 to July 2006 Numbers of clients: 30 Implementation: prototype system supporting Windows & Linux
Testbed Performance Compared with regular PC –One client case is better –Ten clients case is comparable Compared with thin-client systems (e.g., Citrix, RDP, and VNC) –Application performance (slow-motion, one client) Web browsing: reduce access latency 2-3 times Video playback quality: improve 2-20 times –Scalability (i-bench, synchronously) Achieve almost constant latency as opposed to the thin-client systems where latency grows linearly
Related Work Network computers –Proposed by Oracle, Sun, IBM, Apple, etc. –Can not support commodity OS and applications Thin-client systems –Sun Ray 1 [Sun Micro], RDP [Microsoft], ICA [Citrix] –Centralized computing and storage, need high-end servers Networked file systems –NFS [Sandberg, 1985] & AFS [Howard, 1988] –Can share user data; hard to share heterogeneous OSes Virtual machine based approaches –Collective [Chandra, 2005], ISR [Kozuch, 2004] and SoulPad [Caceres, 2005] –Can not achieve native performance
Summary and Future Work Centralizing both software and data reduces the management complexity of enterprise networks An example prototype: TransCom –Reduce maintenance time and effort –Achieve similar performance to PCs Future work –Support more types of OSes and devices –Optimize performance