Abstract: Scheduling operations such as asynchronous file system operations in a network storage system is accomplished by applying a bid-price online auction methodology, in which bid (willingness-to-pay) values and price (cost) values are dynamically set by storage clients and a storage server, respectively, based on utilization of computing resources. The system provides a framework for adaptively scheduling asynchronous file system operations, managing multiple key resources of the distributed file system, including network bandwidth, server I/O, server CPU, and client and server memory utilization. The system can accelerate, defer, or cancel asynchronous requests to improve application-perceived performance. Congestion pricing via online auctions can be employed to coordinate the use of system resources by clients, so clients can detect shortages and adapt their resource usage.

Abstract: A computer-implemented method and apparatus for enumerating program code dependencies is provided. According to an embodiment of the invention, a user selects or otherwise indicates a code base to be processed and analyzed for the purpose of enumerating those program code modules required by the code base in order to properly compile and execute the code base. Next, the code base is processed in accordance with instructions designed to mirror those of a compiler for compiling the code base. Accordingly, external program code dependencies are identified using compile time compilation parameters, as well as extensive programming language analysis.

Abstract: Scheduling operations such as asynchronous file system operations in a network storage system is accomplished by applying a bid-price online auction methodology, in which bid (willingness-to-pay) values and price (cost) values are dynamically set by storage clients and a storage server, respectively, based on utilization of computing resources. The system provides a framework for adaptively scheduling asynchronous file system operations, managing multiple key resources of the distributed file system, including network bandwidth, server I/O, server CPU, and client and server memory utilization. The system can accelerate, defer, or cancel asynchronous requests to improve application-perceived performance. Congestion pricing via online auctions can be employed to coordinate the use of system resources by clients, so clients can detect shortages and adapt their resource usage.