Efficiency vs. portability in cluster-based network servers

Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP

Volumn , Issue , 2001, Pages 113-122

  Carrera, E V ^a   Bianchini, R ^a  

^a RUTGERS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLIENT SERVER COMPUTER SYSTEMS; COMMUNICATION; INPUT OUTPUT PROGRAMS; MULTIPROCESSING PROGRAMS; NETWORK PROTOCOLS;

CLUSTER-BASED NETWORK SERVERS;

SERVERS;

EID: 0034833008     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (23)

1. Web server workload characterization: The search for invariants
2. Efficient support for P-HTTP in cluster-based web servers
3. Scalable content-aware request distribution in cluster-based network servers
4. Distributed packet rewriting and its application to scalable server architectures
5. Analytical and experimental evaluation of cluster-based WWW servers
6. Web caching and zipf-like distributions: Evidence and implications
7. Evaluating cluster-based network servers
8. The sensitivity of communication mechanisms to bandwidth and latency
9. Cooperative caching: Using remote client memory to improve file system performance
10. A scalable and highly available web server
11. Summary cache: A scalable wide-area web cache sharing protocol
12. Cooperative caching of dynamic content on a distributed web server
13. Effects of communication latency, overhead, and bandwidth in a cluster architecture
14. Locality-aware request distribution in cluster-based network servers
15. Flash: An efficient and portable web server
16. Software distributed shared memory over virtual interface architecture: Implementation and performance
17. Manageability, availability and performance in porcupine: A highly scalable, cluster-based mail service
18. The effect of network total order, broadcast, and remote-write capability on network-based shared memory computing
19. A scheduling optimization for resource-intensive web requests on server clusters