Abstract: A system and method for converting a document to create a reusable learning object is disclosed. The reusable learning object is used to create a course of instruction for an online or virtual classroom. The reusable learning object is shared and modified by different users for each course. A document stored on a computing platform coupled to the system is made available for the reusable learning object. The document is created by an application and contains data that may not be in a format useable by the reusable learning object. An autopilot and an export filter are invoked by a prompt or command from the application or another source. The export filter converts the data within the document into metadata to support an extensible markup language (“XML”) format. The autopilot queries and receives information on the document to create the reusable learning object. The reusable learning object is created by the converted data and received information.

Abstract: A system and method for processing data over a distributed network is disclosed. The distributed network includes a plurality of nodes and a central machine coupled to the nodes. The central machine receives a data space and partitions the data space into data blocks. The data blocks are sent to the nodes. Each node analyzes a received data block using an optimization algorithm forwarded by the central machine. Results that may be of interest to other data blocks are detected during the analysis and forwarded from the nodes to the central machine at an interval. The central machine forwards the results to the other nodes within the distributed network in order to update their processing of the data blocks. The updating activity continues until the data blocks have been processed.

Abstract: A system and method for monitoring within a peer-to-peer network is disclosed. A peer-to-peer network includes peer machines coupled together without the use of a central processor. Each peer machine is able to monitor the other peer machines within the network and to perform failure recovery operations in the event a peer machine fails. A ping command is sent to every peer machine within the network using a peer protocol on the peer machine. If a response is received at the sending peer machine, then the responding peer machine is operating. If no response is received, a failure may have occurred and the sending peer machine can take corrective action, such alerting a system administrator or restarting the failed machine. The use of the peer monitoring reduces the need for central monitoring and prevents the network from having a single point of failure for monitoring activities.

Abstract: A system and method for mirroring data using a server is disclosed. The system is a network having a plurality of client systems coupled to the server, known as a storage management server. The storage management server has a distributor module that executes against a data structure stored on the server. The distributor module randomly partitions the data structure into data fragments. A set of memory locations are allocated on the client systems. A memory location is unused memory on the client system. The distributor module stores the randomly partitioned data structures at the memory locations. The data fragments can be encrypted before storage for additional security. The locations of the data fragments and any encryption keys are stored on the storage management server such that the data structure can be reconstructed by the data fragments when requested. The system also includes a backup server to store the locations and encryption keys to reconstruct the data structure, if desired.