sigmod-jの皆様 dbjapanの皆様 (重複して受け取られた場合はご容赦ください) 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@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@tkl.iis.u-tokyo.ac.jp http://www.sigmodj.is.uec.ac.jp/ ----------------------------------------------------------------- To: sigmodj_lecture@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 ------------------------------------------------------------------ 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.