Frequently updated noise threat maps created with use of supercomputing grid

Quasi-opportunistic Supercomputing in Grid Environments

The ultimate goal of grid technologies is to materialize the vision of grids as virtual supercomputers of unprecedented power, through utilization of geographically disperse distributively owned resources. Despite the overwhelming success of grids in running pleasantly parallel tasks, there still exists a large set of demanding applications considered the exclusive prerogative of real supercomp...

A Supercomputing API for the Grid ∗

We have designed and implemented an API for grid computing that can be used for developing grid-distributed parallel programs without leaving the level of the language in which the core application is written. Our software framework is able to utilize the information about heterogeneous grid environments in order to adapt the algorithmic structure of parallel programs to the particular situatio...

Discovery of Influence Sets in Frequently Updated Databases

Scalable Web Caching of Frequently Updated Objects Using Reliable Multicast

Frequently updated web objects reduce the benefit of caching, increase the problem of cache inconsistency, and aggravate the inefficiency of the conventional "repeated unicast" delivery model. In this paper, we investigate multicast invalidation and delivery of popular, frequently updated objects to web cache proxies. Our protocol, MMO, groups objects into volumes, each of which maps to one IP ...

Efficient Index Maintenance for Frequently Updated Semantic Data

Nowadays, the demand on querying and searching the Semantic Web is increasing. Some systems have adopted IR (Information Retrieval) approaches to index and search the Semantic Web data due to its capability to handle the web-scale data and efficiency on query answering. Additionally, the huge volumes of data on the Semantic Web are frequently updated. Thus, it further requires effective update ...