Abstract
The objective of the research is first to build a highly parallel processing system using 100 personal computers and an ATM switch. The former is a commodity for computer, while the latter can be regarded as a commodity for future communication systems. Second is to implement parallel relational database management system and parallel data mining system over the 100-PC cluster system. Third is to run decision-support queries typicalto data warehouses, to run association rule mining, and to prove the effectiveness of the proposed architecture as a next generation parallel database/datamining server. Performance/cost ratio of PC is significantly improved compared with workstations and proprietry systems due to its mass production. The cost of ATM switch is also considerably decreasing since ATM is being widely accepted as a communication-on infrastructure. By combining 100 PCs as computing commodities and ATM switch as a communication commodity, we built large sca-le parallel processing system inexpensively. Each mode employs the Pentium Pro CPU and the communication badwidth between PC's is more than 120Mbits/sec. A new parallel relational DBMS is design-ed and implemented. TPC-D, which is a standard benchmark for decision support applicants (100GBytes) is executed. Our system attained much higher performance than current commercial systems which
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Citation Formats
None.
FY1995 next generation highly parallel database / dataminig server using 100 PC's and ATM switch; 1995 nendo tasudai no pasokon wo ATM ketsugoshita jisedai choheiretsu database mining server no kaihatsu.
Japan: N. p.,
1997.
Web.
None.
FY1995 next generation highly parallel database / dataminig server using 100 PC's and ATM switch; 1995 nendo tasudai no pasokon wo ATM ketsugoshita jisedai choheiretsu database mining server no kaihatsu.
Japan.
None.
1997.
"FY1995 next generation highly parallel database / dataminig server using 100 PC's and ATM switch; 1995 nendo tasudai no pasokon wo ATM ketsugoshita jisedai choheiretsu database mining server no kaihatsu."
Japan.
@misc{etde_20085383,
title = {FY1995 next generation highly parallel database / dataminig server using 100 PC's and ATM switch; 1995 nendo tasudai no pasokon wo ATM ketsugoshita jisedai choheiretsu database mining server no kaihatsu}
author = {None}
abstractNote = {The objective of the research is first to build a highly parallel processing system using 100 personal computers and an ATM switch. The former is a commodity for computer, while the latter can be regarded as a commodity for future communication systems. Second is to implement parallel relational database management system and parallel data mining system over the 100-PC cluster system. Third is to run decision-support queries typicalto data warehouses, to run association rule mining, and to prove the effectiveness of the proposed architecture as a next generation parallel database/datamining server. Performance/cost ratio of PC is significantly improved compared with workstations and proprietry systems due to its mass production. The cost of ATM switch is also considerably decreasing since ATM is being widely accepted as a communication-on infrastructure. By combining 100 PCs as computing commodities and ATM switch as a communication commodity, we built large sca-le parallel processing system inexpensively. Each mode employs the Pentium Pro CPU and the communication badwidth between PC's is more than 120Mbits/sec. A new parallel relational DBMS is design-ed and implemented. TPC-D, which is a standard benchmark for decision support applicants (100GBytes) is executed. Our system attained much higher performance than current commercial systems which are also much more expensive than ours. In addition, we developed a novel parallel data mining algorithm to extract associate rules. We implemented it in our system and succeeded toattain high performance. Thus it is verified that ATM connected PC cluster is very promising as a next generation platform for large scale database/dataminig server. (NEDO)}
place = {Japan}
year = {1997}
month = {Mar}
}
title = {FY1995 next generation highly parallel database / dataminig server using 100 PC's and ATM switch; 1995 nendo tasudai no pasokon wo ATM ketsugoshita jisedai choheiretsu database mining server no kaihatsu}
author = {None}
abstractNote = {The objective of the research is first to build a highly parallel processing system using 100 personal computers and an ATM switch. The former is a commodity for computer, while the latter can be regarded as a commodity for future communication systems. Second is to implement parallel relational database management system and parallel data mining system over the 100-PC cluster system. Third is to run decision-support queries typicalto data warehouses, to run association rule mining, and to prove the effectiveness of the proposed architecture as a next generation parallel database/datamining server. Performance/cost ratio of PC is significantly improved compared with workstations and proprietry systems due to its mass production. The cost of ATM switch is also considerably decreasing since ATM is being widely accepted as a communication-on infrastructure. By combining 100 PCs as computing commodities and ATM switch as a communication commodity, we built large sca-le parallel processing system inexpensively. Each mode employs the Pentium Pro CPU and the communication badwidth between PC's is more than 120Mbits/sec. A new parallel relational DBMS is design-ed and implemented. TPC-D, which is a standard benchmark for decision support applicants (100GBytes) is executed. Our system attained much higher performance than current commercial systems which are also much more expensive than ours. In addition, we developed a novel parallel data mining algorithm to extract associate rules. We implemented it in our system and succeeded toattain high performance. Thus it is verified that ATM connected PC cluster is very promising as a next generation platform for large scale database/dataminig server. (NEDO)}
place = {Japan}
year = {1997}
month = {Mar}
}