Conference on Intelligent Data Understanding 2010 (CIDU)

PADMINI: A PEER-TO-PEER DISTRIBUTED ASTRONOMY DATA MINING
SYSTEM AND A CASE STUDY

TUSHAR MAHULE, KIRK BORNE, SANDIPAN DEY, SUGANDHA ARORA,
AND HILLOL KARGUPTA

Abstract. Peer-to-Peer (P2P) networks are appealing for astronomy data mining from virtual
observatories because of the large volume of the data, compute-intensive tasks, potentially large
number of users, and distributed nature of the data analysis process. This paper offers a brief
overview of PADMINI—a Peer-to-Peer Astronomy Data MINIng system. It also presents a case
study on PADMINI for distributed outlier detection using astronomy data. PADMINI is a webbased
system powered by Google Sky and distributed data mining algorithms that run on a
collection of computing nodes. This paper offers a case study of the PADMINI evaluating the
architecture and the performance of the overall system. Detailed experimental results are presented
in order to document the utility and scalability of the system.