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
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