[dbjapan] DBSJ & ACM SIGMODJ 講演会のご案内（8月5日午前11時〜） ★ 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、

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11時〜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/

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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
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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