The Object-Oriented Design and Performance of JAWS: A High-performance Web Server Optimized for

This paper provides two contributions to the study of highperformance object-oriented (OO) Web servers. First, it outlines the design principles and optimizations necessary to develop efficient and scalable Web servers and illustrates how we have applied these principles and optimizations to create JAWS. JAWS is a high-performance Web server that is explicitly designed to alleviate overheads incurred by existing Web servers on high-speed networks. In addition to its highly extensible OO design, it is also highly efficient and consistently outperforms existing Web servers (such as Apache, Java Server, PHTTPD, Zeus, and Netscape Enterprise) over 155 Mbps ATM networks on UNIX platforms. Second, this paper describes how we have customized the JAWS OO design to leverage advanced features of Windows NT for multi-processor platforms linked by high-speed ATM networks. The Windows NT features used in JAWS include asynchronous mechanisms for connection establishment and data transfer. Our previous benchmarking studies demonstrate that once the overhead of disk I/O is reduced to a negligible constant factor (e.g., via memory caches), the primary determinants of Web server performance are the concurrency and event dispatching strategies. Our performance results over a 155 Mbps ATM network indicate that certain Windows NT asynchronous I/O mechanisms (i.e., TransmitFile) provide superior performance for large file transfers compared with conventional synchronous multi-threaded servers. On the other hand, synchronous event dispatching performed better for files less than 50 Kbytes. Thus, to provide optimal performance, a Web server design This work was supported in part by grants from OTI, Kodak, and Siemens. should be adaptive, i.e., choosing to use different mechanisms (such as TransmitFile) to handle requests for large files, while using alternative I/O mechanisms (such as synchronous event dispatching) for requests for small files.