学会員メーリングリストアーカイブ (2003年)

ACM SIGMODJ Lecture on 7/15


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dbjapanの皆様
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ACM SIGMOD日本支部では、7月15日に以下の講演会
(主催:ACM SIGMOD日本支部,協賛:日本データベース学会)を
予定しております。奮ってご参加ください。

日時 7月15日 午前10時30分〜午前11時30分
場所 東京大学生産技術研究所 E棟5階 会議室B(Ew-502)

Title: PeerCQ: A Decentralized and Self-Configuring Peer-to-Peer
       Information Monitoring System
Speaker: Prof.Ling Liu  (Georgia Tech)

参加費 無料

参加ご希望の方は、SIGMODホームページにて
     ( http://www.sigmodj.is.uec.ac.jp/ )
会員登録の後(会費無料、すでに登録されている方は結構です)、
      sigmodj_lecture [at] tkl.iis.u-tokyo.ac.jp に
添付の参加申込書をお送り下さい。

                        ACM SIGMOD日本支部 支部長 北川 博之

                       担当幹事 中野 美由紀

                        連絡(問合せ)先 ACM SIGMOD日本支部
                                sigmodj_lecture [at] tkl.iis.u-tokyo.ac.jp
                http://www.sigmodj.is.uec.ac.jp/

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To: sigmodj_lecture [at] tkl.iis.u-tokyo.ac.jp

ACM SIGMOD日本支部 講演会 参加申し込み

7月15日の講演会に参加
・名前
・ご所属
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講演会

主催:ACM SIGMOD日本支部
協賛:日本データベース学会

Speaker: Prof.Ling Liu  (Georgia Tech)

Title: PeerCQ: A Decentralized and Self-Configuring Peer-to-Peer
       Information Monitoring System

Abstract:
PeerCQ is a totally decentralized system that performs information
monitoring tasks over a network of peers with heterogeneous
capabilities. It uses Continual Queries (CQs) as its primitives to
express information-monitoring requests. A primary objective of the
PeerCQ system is to build a decentralized Internet scale distributed
information-monitoring system, which is highly scalable,
self-configurable and supports efficient and robust way of processing
CQs. This paper describes the basic architecture of the PeerCQ system
and focuses on the mechanisms used for service partitioning at the P2P
protocol layer. There are three unique characteristics of PeerCQ. First,
it introduces a donation based peer-aware mechanism for handling the
peer heterogeneity. Second, it integrates both the peer heterogeneity
and the information monitoring characteristics of the users into its
service-partitioning scheme, while maintaining decentralization and
self-configurability. Third, the PeerCQ service-partitioning scheme is
able to provide a good balance between system utilization and load
balance in the presence of peer joins, departures and failures. We
report a set of initial experiments demonstrating the sensitiveness of
the PeerCQ approach to large-scale peer-to-peer information monitoring
and the effectiveness of the PeerCQ service-partitioning algorithms with
respect to load balancing and system utilization.