Matching Language and Hardware for Parallel Computation in the Linda Machine
IEEE Transactions on Computers - Special issue on architectural support for programming languages and operating systems
Using pathchar to estimate Internet link characteristics
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
Future Generation Computer Systems - Special issue on metacomputing
TOPOMON: A Monitoring Tool for Grid Network Topology
ICCS '02 Proceedings of the International Conference on Computational Science-Part II
Topology Discovery by Active Probing
SAINT-W '02 Proceedings of the 2002 Symposium on Applications and the Internet (SAINT) Workshops
Topology discovery in heterogeneous IP networks: the NetInventory system
IEEE/ACM Transactions on Networking (TON)
Internet Measurement: Infrastructure, Traffic and Applications
Internet Measurement: Infrastructure, Traffic and Applications
Relevance of massively distributed explorations of the internet topology: qualitative results
Computer Networks: The International Journal of Computer and Telecommunications Networking
Scalable and Efficient End-to-End Network Topology Inference
IEEE Transactions on Parallel and Distributed Systems
INTERNET TOPOLOGY DISCOVERY: A SURVEY
IEEE Communications Surveys & Tutorials
Topology discovery services for monitoring the global grid
IEEE Communications Magazine
Deployment of an Algorithm for Large-Scale Topology Discovery
IEEE Journal on Selected Areas in Communications
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Distributed application (e.g., grid-enabled application) performance is highly dependent on the information available when computational resources are chosen. A resource selection based on computational resource information complemented with network performance information has the potential to be optimal from the application performance viewpoint. This is particularly true for network-intensive distributed applications. This study proposes a Recursive Distributed Topology Discovery Service (RD-TDS) that allows grid clients to retrieve network performance information (i.e., IP-level topology and link capacity) without the need of specific administrative privileges. The RD-TDS exploits a selected set of distributed beacons (i.e., measurement points) that recursively probe newly discovered nodes until no undiscovered nodes are found during an exploration step. The RD-TDS simulative and experimental evaluation confirms its expected qualities: a rapid and complete discovery of the network performance information with the utilization of a limited number of active beacons. In addition, the proposed method rationale can be easily applied to many current network exploration tools.