ＤＢＳＪの皆様、 以下の講演会が12月2日に東大生研にて行われます。 ふるってご参加ください。 東京大学生研 中野美由紀 ☆☆☆ 12月2日 講演会のご案内 ☆☆☆ 共催 日本データベース学会 ACM SIGMOD日本支部 特定領域研究「情報爆発IT基盤」 日時 12月2日（木） 午後1時半〜午後2時半 場所 東京大学生産技術研究所 E棟 5階 会議室A（Ew-501） http://www.iis.u-tokyo.ac.jp/map/index.html Speaker: Prof. Beng Chin (Computer Science at School of Computing, National University of Singapore) Title: Providing Scalable Database Services on the Cloud 参加費 無料 参加ご希望の方は、 日本データベース学会のホームページにて ( http://www.dbsj.org/ ) 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。 皆様のご参加をお待ちしております。 日本データベース学会 国際関係委員会 委員長 （ACM SIGMOD日本支部 支部長） 横田 治夫 連絡先 中野 美由紀 連絡(問合せ)先 日本データベース学会、 ACM SIGMOD 日本支部 sigmodj_lecture@tkl.iis.u-tokyo.ac.jp http://www.dbsj.org/ ----------------------------------------------------------------- To: sigmodj_lecture@tkl.iis.u-tokyo.ac.jp 日本データベース学会・ACM SIGMOD日本支部共催 講演会 参加申し込み 12月2日（木）の講演会に参加 ・名前 ・ご所属 ------------------------------------------------------------------ Program Speaker: Prof. Beng Chin (Computer Science at School of Computing, National University of Singapore) Title: Providing Scalable Database Services on the Cloud The Cloud is fast gaining popularity as a platform for deploying Software as a Service (SaaS) applications. In principle, the Cloud provides unlimited compute resources, enabling deployed services to scale seamlessly, and supports the pay-as-you-go model, enabling the overall running cost of the applications to be kept low. Given the advantages of the Cloud, it is attractive to migrate existing software to this new platform. However, challenges remain as most software applications need to be redesigned to embrace the Cloud. In this talk, I will briefly discuss the performance issue of Hadoop like systems, and then present an overview of our current on-going work in developing epiC ? an elastic and efficient power-aware data-intensive Cloud system. I will discuss the design issues and the implementation of epiC’s storage system and processing engine. The storage system and the processing engine are loosely coupled, and have been designed to handle two types of workload simultaneously, namely data-intensive analytical jobs and online transactions (commonly referred as OLAP and OLTP respectively). The processing of large-scale analytical jobs in epiC adopts a phase-based processing strategy, which provides a fine-grained fault tolerance, while the processing of queries adopts indexing and filter-and-refine strategies. Short Bio: Beng Chin is Professor of Computer Science at School of Computing, at the National University of Singapore (NUS). He obtained his BSc (1st Class Honors) and PhD from Monash University, Australia, in 1985 and 1989 respectively. His research interests include database performance issues, indexing techniques, multimedia and spatio-temporal databases, P2P systems and advanced applications, and cloud computing. His current system projects include BestPeer, P2P based data management system, and epiC, a data-intensive cloud computing platform. He has served as a PC member for international conferences including ACM SIGMOD, VLDB, IEEE ICDE, WWW, SIGKDD and Vice PC Chair for ICDE'00,04,06, co-PC Chair for SSD'93 and DASFAA'05, PC Chair for ACM SIGMOD'07, and Core DB track PC chair for VLDB'08. He is a co-PC chair of IEEE ICDE'12, the Editor-in-Chief of IEEE Transactions on Knowledge and Data Engineering (TKDE), and a trustee member of VLDB Endowment Board. He is the recipient of ACM SIGMOD 2009 Contributions award. -- ----------------------------------------------------------------------- 中野 美由紀 東京大学 生産技術研究所 戦略情報融合国際研究センタ Miyuki NAKANO Institute of Industrial Science, Univ. of Tokyo Center for Information Fusion miyuki@tkl.iis.u-tokyo.ac.jp