[dbjapan] ★時間変更★ DBSJ & ACM SIGMODJ 講演会のご案内（8月5日午前10時半〜） ★ Virtualized Cloud ★

[Miyuki Nakano <miyuki [at] tkl.iis.u-tokyo.ac.jp>]

日本データベース学会の皆様、

さきほど、ご案内した講演会ですが、恐縮ですが、都合により
３０分早くなりまして、明日の★１０時半★から開始です。

以下の講演会が8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

　☆☆☆　8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　8月5日（木）　午前10時半〜12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. Ling Liu (Georgia Institute of Technology)
> Title : Performance Measurements and Analysis of
>          Network I/O Applications in Virtualized 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 [at] tkl.iis.u-tokyo.ac.jpに
> 　　　下記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/
> 
> -----------------------------------------------------------------
> 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
> 
> 8月5日（木）の講演会に参加
> ・名前　　　
> ・ご所属
> ------------------------------------------------------------------
> 
> 
> Program
> 
> Title : Performance Measurements and Analysis of
> 　　　　　Network I/O Applications in Virtualized Cloud
> 
> Speaker:
> Prof. Ling Liu (Georgia Insitute of Technology)
> 
> Server virtualization offers the ability to slice large, underutilized
> physical servers into smaller, parallel virtual machines (VMs), enabling
> diverse applications to run in isolated environments on a shared
> hardware platform. However, current implementation of virtual machine
> monitor does not provide sufficient performance isolation to guarantee
> the effectiveness of resource sharing, especially when the applications
> running on multiple virtual machines of the same physical machine are
> competing for computing and communication resources. In this talk, we
> present our performance measurement study of network I/O applications in
> virtualized cloud. We first report our experimental study on the
> performance interference in parallel processing of CPU and network
> intensive workloads in the Xen Virtual Machine Monitors (VMMs). . We
> focus our measurement based analysis on performance impact of
> co-locating applications in a virtualized cloud platform in terms of
> throughput and resource sharing effectiveness, including the impact of
> idle instances on applications that are running concurrently on the same
> physical host.  We present four key findings that are critical to
> effective management of virtualized cloud environments for both cloud
> service providers and cloud consumers. First, running network-intensive
> workloads in isolated environments on a shared hardware platform can
> lead to high overheads due to extensive context switches and events in
> driver domain and VMM.  Second, co-locating CPU-intensive workloads in
> isolated environments on a shared hardware platform can incur high CPU
> contention due to the demand for fast memory pages exchanges in I/O
> channel. Third, identifying factors that impact the total demand of the
> exchanged memory pages is critical to the in-depth understanding of the
> interference overheads in I/O channel in the driver domain and VMM. Last
> but not least, running CPU-intensive workloads and network-intensive
> workloads in conjunction incurs the least resource contention,
> delivering higher aggregate performance. We show that by strategically
> co-locating network I/O applications, performance improvement for cloud
> consumers can be as high as 34%, and the cloud providers can achieve
> over 40% performance gain.
> Bio:
> Ling Liu is a full Professor in the School of Computer Science at
> Georgia Institute of Technology. She directs the research programs in
> Distributed Data Intensive Systems Lab (DiSL), examining various aspects
> of large scale data intensive systems with the focus on performance,
> availability, security, privacy, and energy efficiency. Prof. Liu and
> her students have released a number of open source software tools,
> including WebCQ, XWRAP, PeerCrawl, GTMobiSim. Prof. Liu has published
> over 250 International journal and conference articles in the areas of
> databases, distributed systems, and Internet Computing. She is a
> recipient of the best paper award of ICDCS 2003, WWW 2004, the 2005 Pat
> Goldberg Memorial Best Paper Award, and 2008 Int. conf. on Software
> Engineering and Data Engineering. Prof. Liu has served as general chair
> and PC chairs of several IEEE and ACM conferences in data engineering
> and distributed computing fields and editorial board of a number of
> International journals. Currently Prof. Liu is on the editorial board of
> Distributed and Parallel Databases (Springer), Journal of Parallel and
> Distributed Computing (JPDC), IEEE Transactions on Service Computing
> (TSC), and Wireless Network (WINET, Springer). Dr. Liu’s current
> research is primarily sponsored by NSF, IBM, and Intel.
> 
> 


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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 [at] tkl.iis.u-tokyo.ac.jp