There are a variety of related projects.
Condor is a software system that runs on a cluster of workstations to harness wasted CPU cycles. A Condor pool consists of any number of machines, of possibly different architectures and operating systems, that are connected by a network.
NetSolve currently has the ability to access CONDOR pools as its computational resource. With little effort, the server can be configured to submit the client's request to an existing CONDOR pool, collect the results, and send them to the client.
The Globus project is developing the fundamental technology that is needed to build computational grids, execution environments that enable an application to integrate geographically-distributed instruments, displays, and computational and information resources. Such computations may link tens of hundreds of these resources.
In its testing phase is a new NetSolve client which implements a Globus proxy to allow the client to utilize the Globus grid infrastructure if available. If not, the client resorts to its present behavior.
IBP is a storage management system which serves up writable storage as a wide-area network resource, allows for the remote direction of storage activities, and decouples the notion of user identification from storage.
Currently available in NetSolve are IBP-enabled clients and servers that allow NetSolve to allocate and schedule storage resources as part of its resource brokering. This leads to much improved performance and fault-tolerance when resources fail.
Legion has been incorporated in such a way to allow the client-user to program using the NetSolve interface while leveraging the Legion meta-computing resources. The NetSolve client side uses Legion data-flow graphs to keep track of data dependencies. This effort has been extended only to the FORTRAN interfaces and was done by the Legion group at the University of Virginia.
The metaNEOS project integrates fundamental algorithmic research in optimization with research and infrastructure tool development in distributed systems management. Algorithms that can exploit the powerful but heterogeneous, high-latency and possibly failure-prone virtual hardware platform typical of metacomputing platforms have been developed in such areas as global optimization, integer linear optimization, integer nonlinear optimization, combinatorial optimization, and stochastic optimization.
Ninf and NetSolve are remote computing systems which are oriented to provide numerical computations. These two systems are very similar to each other in their design and motivation. Adapters have been implemented to enable each system to use numerical routines installed on the other.
NWS is a system that uses sensor processes on workstations to monitor the cpu and network connection. It constantly collects statistics on these entities and has the ability to incorporate statistical models to run on the collected data to generate a forecast of future behavior.
NetSolve has integrated NWS into its agent to help its efforts of determining which computational servers would yield results to the client most efficiently.