Computer Science – Performance
Scientific paper
Sep 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011amos.confe..31p&link_type=abstract
Proceedings of the Advanced Maui Optical and Space Surveillance Technologies Conference, held in Wailea, Maui, Hawaii, September
Computer Science
Performance
Scientific paper
This paper examines a horizontal scaling approach for Conjunction Assessment (CA) processing using the Apache Hadoop framework. A key focus of this paper is the Input/Output (I/O) characteristics of CA, which directly impact the performance and scalability of the distributed system. To accomplish this and maintain a focus on I/O, a synthetic data model and simulated CA algorithm are used. These components form the basis for a series of scalability tests that result in high collocation rates and near linear scaleout for the 16 node/64 core cluster used. Amdahl’s law is used to examine these results as well as provide a basis for extrapolated results. These extrapolated results model larger clusters and identify potential degradation as node count increases.
Facas N.
Prausa M.
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