• DocumentCode
    2791074
  • Title

    Designing Efficient Systems Services and Primitives for Next-Generation Data-Centers

  • Author

    Vaidyanathan, K. ; Narravula, S. ; Balaji, P. ; Panda, D.K.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Ohio State Univ., Columbus, OH
  • fYear
    2007
  • fDate
    26-30 March 2007
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Current data-centers lack in efficient support for intelligent services, such as requirements for caching documents and cooperation of caching servers, efficiently monitoring and managing the limited physical resources, load-balancing, controlling overload scenarios, that are becoming a common requirement today. On the other hand, the system area network (SAN) technology is making rapid advances during the recent years. Besides high performance, these modern interconnects are providing a range of novel features and their support in hardware (e.g., RDMA, atomic operations). In this paper, we extend our previously proposed framework comprising of three layers (communication protocol support, data-center service primitives and advanced data-center services) that work together to tackle the issues associated with existing data-centers. We present the performance results using data-center services such as cooperative caching and active resource monitoring and data-center primitives such as distributed data sharing substrate and distributed lock manager, which demonstrate significant performance benefits achievable by our framework as compared to existing data-centers in several cases.
  • Keywords
    Internet; cache storage; information services; resource allocation; Internet; active resource monitoring; cooperative caching; data-center; distributed data sharing substrate; distributed lock manager; intelligent service; system area network; Access protocols; Atomic layer deposition; Computer science; Cooperative caching; Data engineering; Hardware; Monitoring; Resource management; Storage area networks; TCPIP;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing Symposium, 2007. IPDPS 2007. IEEE International
  • Conference_Location
    Long Beach, CA
  • Print_ISBN
    1-4244-0910-1
  • Electronic_ISBN
    1-4244-0910-1
  • Type

    conf

  • DOI
    10.1109/IPDPS.2007.370507
  • Filename
    4228235