From mboxrd@z Thu Jan 1 00:00:00 1970 Return-Path: X-Original-To: caml-list@sympa.inria.fr Delivered-To: caml-list@sympa.inria.fr Received: from mail3-relais-sop.national.inria.fr (mail3-relais-sop.national.inria.fr [192.134.164.104]) by sympa.inria.fr (Postfix) with ESMTPS id 31AAC7EE5D for ; Mon, 12 May 2014 09:14:55 +0200 (CEST) Received-SPF: None (mail3-smtp-sop.national.inria.fr: no sender authenticity information available from domain of rami.akkad@sap.com) identity=pra; client-ip=155.56.66.97; receiver=mail3-smtp-sop.national.inria.fr; envelope-from="rami.akkad@sap.com"; x-sender="rami.akkad@sap.com"; x-conformance=sidf_compatible Received-SPF: Pass (mail3-smtp-sop.national.inria.fr: domain of rami.akkad@sap.com designates 155.56.66.97 as permitted sender) identity=mailfrom; client-ip=155.56.66.97; receiver=mail3-smtp-sop.national.inria.fr; envelope-from="rami.akkad@sap.com"; x-sender="rami.akkad@sap.com"; x-conformance=sidf_compatible; x-record-type="v=spf1" Received-SPF: None (mail3-smtp-sop.national.inria.fr: no sender authenticity information available from domain of postmaster@smtpgw.sap-ag.de) identity=helo; client-ip=155.56.66.97; receiver=mail3-smtp-sop.national.inria.fr; envelope-from="rami.akkad@sap.com"; x-sender="postmaster@smtpgw.sap-ag.de"; x-conformance=sidf_compatible X-IronPort-Anti-Spam-Filtered: true X-IronPort-Anti-Spam-Result: ArwBAIh0cFObOEJhnGdsb2JhbABZgkKBE1i8ZYFCAYc7AYEsDgEBAQEBBg0JCRQogh0BDh0sQgEPDRkLB00TCgEMG4UuLYJLDZsJsxSLQ4JpDgcXC4IqD0EDgTkEhFqEe4VQg0aIGYUkhkKJGz0wgUI X-IPAS-Result: ArwBAIh0cFObOEJhnGdsb2JhbABZgkKBE1i8ZYFCAYc7AYEsDgEBAQEBBg0JCRQogh0BDh0sQgEPDRkLB00TCgEMG4UuLYJLDZsJsxSLQ4JpDgcXC4IqD0EDgTkEhFqEe4VQg0aIGYUkhkKJGz0wgUI X-IronPort-AV: E=Sophos;i="4.97,1033,1389740400"; d="scan'208,217";a="61433418" Received: from smtpgw02.sap-ag.de (HELO smtpgw.sap-ag.de) ([155.56.66.97]) by mail3-smtp-sop.national.inria.fr with ESMTP/TLS/AES128-SHA; 12 May 2014 09:14:53 +0200 From: "Akkad, Rami" Thread-Topic: 2nd CFP: 5th Workshop on Big Data Benchmarking (WBDB 2014) Thread-Index: AQHPbbHSDPxIp8BiJ0yNI1HGb4lhsg== Date: Mon, 12 May 2014 07:14:33 +0000 Message-ID: Accept-Language: de-DE, en-US Content-Language: en-US X-MS-Has-Attach: X-MS-TNEF-Correlator: user-agent: Microsoft-MacOutlook/14.4.1.140326 x-originating-ip: [10.21.40.111] Content-Type: multipart/alternative; boundary="_000_CF9641776B9Bramiakkadsapcom_" MIME-Version: 1.0 To: Undisclosed recipients:; X-Validation-by: rami.akkad@sap.com Subject: [Caml-list] 2nd CFP: 5th Workshop on Big Data Benchmarking (WBDB 2014) --_000_CF9641776B9Bramiakkadsapcom_ Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D CALL FOR PAPERS Fifth Workshop on Big Data Benchmarking (WBDB 2014) August 5-6, 2014 - HPI, Potsdam, Germany http://clds.ucsd.edu/wbdb2014.de Sponsored by SAP, Intel, Mellanox, Pivotal, US National Science Foundation **** Submission Deadline - May 14, 2014 **** =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D The objective of the WBDB workshops is to make progress towards development of industry standard application-level benchmarks for evaluating hardware and software systems for big data applications. Discussions from previous WBDB workshops have resulted in the formation of the TPC-BigData subcommittee, which is currently working on the TPCx-HS benchmark, for Hadoop Systems. There have also been presentations on a variety of proposed benchmarks including, BigBench, HiBench, BigDataBenchmark, BigDecision, and the Deep Analytics Pipeline. Meeting Topics: To continue making progress towards big data benchmarking standards, the workshop will explore a range of issues including: - Data features: New feature sets of data including, high-dimensional data, sparse data, event-based data, and enormous data sizes. - System characteristics: System-level issues including, large-scale and evolving system configurations, shifting loads, and heterogeneous technologies for big data and cloud platforms. - Implementation options: Different implementation options such as SQL, NoSQL, Hadoop software ecosystem, and different implementations of HDFS. - Workloads: Representative big data business problems and corresponding benchmark implementations. Specification of benchmark applications that represent the different modalities of big data, including graphs, streams, scientific data, and document collections. - Hardware options: Evaluation of new options in hardware including different types of HDD, SSD, and main memory, and large-memory systems, and new platform options that include dedicated commodity clusters and cloud platforms. - Synthetic data generation: Models and procedures for generating large-scale synthetic data with requisite properties. - Benchmark execution rules: E.g. data scale factors, benchmark versioning to account for rapidly evolving workloads and system configurations, benchmark metrics. - Metrics for efficiency: Measuring the efficiency of the solution, e.g. based on costs of acquisition, ownership, energy and/or other factors, while encouraging innovation and avoiding benchmark escalations that favor large inefficient configuration over small efficient configurations. - Evaluation frameworks: Tool chains, suites and frameworks for evaluating big data systems. - Early implementations: E.g. of, say, BigBench, HiBench, BigDataBenchmark, BigDecision, and the Deep Analytics Pipeline, and lessons learned in benchmarking big data applications. =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D Important Dates: - Submission Date: May 14 - Notification Date: June 8 - Camera-ready: July 20 =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D General Chairs Chaitan Baru, San Diego Supercomputer Center (SDSC) UC San Diego Tilmann Rabl, Middleware Services Research Group (MSRG), University of Toronto Kai Sachs, SAP AG Local Arrangements Matthias Uflacker, Hasso-Plattner-Institut Publicity Chair Henning Schmitz, SAP Innovation Center Publication Chair Meikel Poess, Oracle Program Committee Milind Bhandarkar, Pivotal Anja Bog, SAP Labs Dhruba Borthakur, Facebook Joos-Hendrik B=F6se, Amazon Tobias B=FCrger, Payback Tyson Condie, UCLA Kshitij Doshi, Intel Pedro Furtado, University of Coimbra Bhaskar Gowda, Intel Goetz Graefe, HP Martin Grund, Exascale Alfons Kemper, TU M=FCnchen Donald Kossmann, ETH Z=FCrich Tim Kraska, Brown University Wolfgang Lehner, TU Dresden Christof Leng, UC Berkeley Raghu Nambiar, Cisco Manoj Karunakaran Nambiar, Tata Consulting Services Glenn Paulley, Conestoga College Scott Pearson, CLDS Industry Fellow Andreas Polze, Hasso-Plattner-Institut Alexander Reinefeld, Zuse Institute Berlin / HU Berlin Berni Schiefer, IBM Labs Toronto Saptak Sen, Hortonworks Florian Stegmaier, University of Passau Till Westmann, Oracle Labs Jianfeng Zhan, Chinese Academy of Science Contact Info: For questions please contact Chaitan Baru, baru@sdsc.edu Rami Akkad Innovation Center SAP AG | Konrad-Zuse-Ring 10 | 14469 Potsdam | Germany P +49 331 97995-252 | M +49 151 67833878 | F +49 6227 78-60049 | mailto: ra= mi.akkad@sap.com www.sap.com | www.sap-innovationcenter.com Please consider the impact on the environment before printing this e-mail. Pflichtangaben/Mandatory Disclosure Statements: http://www.sap.com/company/legal/impressum.epx Diese E-Mail kann Betriebs- oder Gesch=E4ftsgeheimnisse oder sonstige vertr= auliche Informationen enthalten. Sollten Sie diese E-Mail irrt=FCmlich erhalten haben, ist Ihnen eine Kenntn= isnahme des Inhalts, eine Vervielf=E4ltigung oder Weitergabe der E-Mail aus= dr=FCcklich untersagt. Bitte benachrichtigen Sie uns und vernichten Sie die empfangene E-Mail. Vie= len Dank. This e-mail may contain trade secrets or privileged, undisclosed, or otherw= ise confidential information. If you have received this e-mail in error, you are hereby notified that any= review, copying, or distribution of it is strictly prohibited. Please inform us imm= ediately and destroy the original transmittal. Thank you for your cooperation. --_000_CF9641776B9Bramiakkadsapcom_ Content-Type: text/html; charset="iso-8859-1" Content-ID: <80792D34CF3D5B4C80271D15BBB99719@exchange.sap.corp> Content-Transfer-Encoding: quoted-printable
=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D
CALL FOR PAPERS&nb= sp;   
Fifth Workshop on = Big Data Benchmarking (WBDB 2014)
August 5-6, 2014 -= HPI, Potsdam, Germany

Sponsored by SAP, = Intel, Mellanox, Pivotal, US National Science Foundation

**** Submission De= adline - May 14, 2014 ****

=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D

The objective of t= he WBDB workshops is to make progress towards
development of ind= ustry standard application-level benchmarks
for evaluating har= dware and software systems for big data applications.

Discussions from p= revious WBDB workshops have resulted in the formation of
the TPC-BigData su= bcommittee, which is currently
working on the TPC= x-HS benchmark, for Hadoop Systems. There have also been
presentations on a= variety of proposed benchmarks
including, BigBenc= h, HiBench, BigDataBenchmark, BigDecision, and the Deep
Analytics Pipeline= .

Meeting Topics:
To continue making= progress towards big data benchmarking standards, the
workshop will expl= ore a range of issues including:
- Data features: N= ew feature sets of data including, high-dimensional
data, sparse data,=
  event-= based data, and enormous data sizes.
- System character= istics: System-level issues including, large-scale and
evolving system co= nfigurations,
  shifti= ng loads, and heterogeneous technologies for big data and cloud
platforms.
- Implementation o= ptions: Different implementation options such as SQL,
NoSQL, Hadoop soft= ware ecosystem,
and different impl= ementations of HDFS.
- Workloads: Repre= sentative big data business problems and corresponding
benchmark implemen= tations. Specification
  of ben= chmark applications that represent the different modalities of big
data, including gr= aphs, streams,
  scient= ific data, and document collections.
- Hardware options= : Evaluation of new options in hardware including
different types of= HDD, SSD, and main memory,
  and la= rge-memory systems, and new platform options that include
dedicated commodit= y clusters and cloud platforms.
- Synthetic data g= eneration: Models and procedures for generating
large-scale synthe= tic data with requisite properties.
- Benchmark execut= ion rules: E.g. data scale factors, benchmark versioning
to account for rap= idly evolving workloads
  and sy= stem configurations, benchmark metrics.
- Metrics for effi= ciency: Measuring the efficiency of the solution, e.g.
based on costs of = acquisition, ownership,
  energy= and/or other factors, while encouraging innovation and avoiding
benchmark escalati= ons that favor large
  ineffi= cient configuration over small efficient configurations.
- Evaluation frame= works: Tool chains, suites and frameworks for evaluating
big data systems.&= nbsp; 
- Early implementa= tions: E.g. of, say, BigBench, HiBench,
BigDataBenchmark, = BigDecision, and the Deep Analytics
  Pipeli= ne, and lessons learned in benchmarking big data applications.

=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D

Important Dates:
- Submission Date:= May 14
- Notification Dat= e: June 8
- Camera-ready: Ju= ly 20

=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D

General Chairs
Chaitan Baru, San = Diego Supercomputer Center (SDSC) UC San Diego
Tilmann Rabl, Midd= leware Services Research Group (MSRG), University of
Toronto
Kai Sachs, SAP AG<= /div>

Local Arrangements=
Matthias Uflacker,= Hasso-Plattner-Institut

Publicity Chair
Henning Schmitz, S= AP Innovation Center

Publication Chair<= /div>
Meikel Poess, Orac= le

Program Committee<= /div>
Milind Bhandarkar,= Pivotal
Anja Bog, SAP Labs=
Dhruba Borthakur, = Facebook
Joos-Hendrik B=F6s= e, Amazon
Tobias B=FCrger, P= ayback
Tyson Condie, UCLA=
Kshitij Doshi, Int= el
Pedro Furtado, Uni= versity of Coimbra
Bhaskar Gowda, Int= el
Goetz Graefe, HP
Martin Grund, Exas= cale
Alfons Kemper, TU = M=FCnchen
Donald Kossmann, E= TH Z=FCrich
Tim Kraska, Brown = University
Wolfgang Lehner, T= U Dresden
Christof Leng, UC = Berkeley
Raghu Nambiar, Cis= co
Manoj Karunakaran = Nambiar, Tata Consulting Services
Glenn Paulley, Con= estoga College
Scott Pearson, CLD= S Industry Fellow
Andreas Polze, Has= so-Plattner-Institut
Alexander Reinefel= d, Zuse Institute Berlin / HU Berlin
Berni Schiefer, IB= M Labs Toronto
Saptak Sen, Horton= works

Florian Stegmaier,= University of Passau
Till Westmann, Ora= cle Labs
Jianfeng Zhan, Chi= nese Academy of Science

Contact Info: For = questions please contact Chaitan Baru, baru@sdsc.edu

Rami Akkad

Innovation Center
SAP AG | Konrad-Zuse-R= ing 10 | 14469 Potsdam | Germany
P +49 331 97995-252 | M +49 151 67833878 | F +49 6227 78-60049 | mailto: rami.akkad@sap.c= om
www.sap.com = | www.sap-innovationcenter.com=

Please consider the impact on the environment= before printing this e-mail.=

Pflichtangaben/Mandatory Disclosure Statements: 
http= ://www.sap.com/company/legal/impressum.epx&= nbsp;

Diese E-Mail kann Betriebs- oder Gesch=E4ftsgeheimnisse oder sonstige vertr= auliche Informationen enthalten. 
Sollten Sie diese E-Mail irrt=FCmlich erhalten haben, ist Ihnen eine Kenntn= isnahme des Inhalts, eine Vervielf=E4ltigung oder Weitergabe der E-Mail aus= dr=FCcklich untersagt. 
Bitte benachrichtigen Sie uns und vernichten Sie die empfangene E-Mail.&nbs= p;Vielen Dank. 

This e-mail may contain trade secrets or privileged, undisclosed, or otherw= ise confidential information. 
If you have received this e-mail in error, you are hereby notified that any= review, 
copying, or distribution of it is strictly prohibited. Please inform us imm= ediately and destroy the original transmittal. 
Thank you for your cooperation.



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