学会員メーリングリストアーカイブ (2008年)

[dbjapan] DBSJ & ACM SIGMODJ講演会のご案内 (9月5日)


DBSJの皆様、

以下の講演会が9月5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

 ☆☆☆ 9月5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 9月5日(金) 午後5時半〜午後6時半
場所 東京大学生産技術研究所 E棟 5階 会議室B(Ew-502)
      http://www.iis.u-tokyo.ac.jp/map/index.html

Speaker :  Dr. Calton Pu
            Professor and John P. Imlay, Jr. Chair in Software
            School of Computer Science, Georgia Institute of Technology
Title : Automated System Management in the Elba Project
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 [at] 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 [at] tkl.iis.u-tokyo.ac.jp
                http://www.dbsj.org/

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To: sigmodj_lecture [at] 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

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Title:
Automated System Management in the Elba Project

Calton Pu
Professor and John P. Imlay, Jr. Chair in Software
School of Computer Science, Georgia Institute of Technology

				
ABSTRACT

Large N-Tier applications running in data centers have complex
deployment requirements and dependencies that change frequently.  The
increasing complexity and scalability requirements of such applications
demand automated configuration design, testing, deployment and
monitoring of applications.  In the Elba project, we have automated the
n-tier application deployment, monitoring, and analysis phases through
automated generation of benchmark scripts.  Elba software tools include
the Mulini generator, which creates deployment and monitoring scripts
for several benchmarks such as RUBiS, RUBBoS, and SPECjAppServer.  The
scripts run the benchmark through many different configurations (up to 1
web server, 12 application servers, and 3 database servers), producing
detailed data on many system resource metrics (e.g., CPU and network
utilization).  Statistical analysis of these metrics identifies the
resource bottlenecks automatically, leading to automated adaptation.  We
will discuss new research topics that can use the benchmark data
accumulated and apply these techniques to other quality of service
dimensions such as availability and power consumption.



--------------------------
Short Biography of Calton Pu

Calton Pu was born in Taiwan and grew up in Brazil.  He received his PhD
from University of Washington in 1986 and served on the faculty of
Columbia University and Oregon Graduate Institute.  Currently, he is
holding the position of Professor and John P. Imlay, Jr. Chair in
Software at the College of Computing, Georgia Institute of Technology.
He has worked on several projects in systems and database research.  His
contributions to systems research include program specialization and
software feedback in the Synthesis, Synthetix, and Infosphere projects.
 His contributions to database research include extended transaction
models and their implementation such as Epsilon Serializability and
Reflective Transaction Framework.  His recent research has focused on
event processing (Continual Queries over the Internet), automated system
management (Elba project) and services computing (dependable systems
software).  His collaborations include applications of these techniques
in scientific research on macromolecular structure data, weather data,
environmental data, and health care.  He has published more than 50
journal papers and book chapters, 150 conference and refereed workshop
papers, and served on more than 100 program committees, including the
co-PC chairs of SRDS'95, ICDE・9, COOPIS・2, SRDS・3, DOA・7, and
co-general chair of ICDE'97, CIKM'01, ICDE・6, DEPSA・7, and CEAS・7.

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中野 美由紀		東京大学 生産技術研究所 喜連川研究室
Miyuki NAKANO		Institute of Industrial Science, Univ. of Tokyo
miyuki [at] tkl.iis.u-tokyo.ac.jp