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 934B67F89F for ; Fri, 21 Mar 2014 09:53:48 +0100 (CET) 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=155.56.66.96; 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 155.56.66.96 as permitted sender) identity=mailfrom; client-ip=155.56.66.96; 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=155.56.66.96; 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: AuIBAHX9K1ObOEJgnGdsb2JhbABZg0FXuyCHNIEpDgEBAQEBBg0JCRQogh0BCQUdLEIBHA4LEk0SAQoBDAgThS4tggMNnWKyEI45CzeCJA9BJoEUBIkaiG+HcoUVhiSIcz2Bbg X-IPAS-Result: AuIBAHX9K1ObOEJgnGdsb2JhbABZg0FXuyCHNIEpDgEBAQEBBg0JCRQogh0BCQUdLEIBHA4LEk0SAQoBDAgThS4tggMNnWKyEI45CzeCJA9BJoEUBIkaiG+HcoUVhiSIcz2Bbg X-IronPort-AV: E=Sophos;i="4.97,702,1389740400"; d="scan'208";a="53539209" Received: from smtpgw01.sap-ag.de (HELO smtpgw.sap-ag.de) ([155.56.66.96]) by mail3-smtp-sop.national.inria.fr with ESMTP/TLS/AES128-SHA; 21 Mar 2014 09:53:47 +0100 From: "Akkad, Rami" Thread-Topic: CFP: 5th Workshop on Big Data Benchmarking (WBDB 2014) Thread-Index: Ac9E2ssyOZDXZv4jSAalRb9PGRxszg== Date: Fri, 21 Mar 2014 08:53:39 +0000 Message-ID: <291F2BADA2B39B4998C54BC89E4C6C1787C90E12@DEWDFEMB15B.global.corp.sap> Accept-Language: de-DE, en-US Content-Language: en-US X-MS-Has-Attach: X-MS-TNEF-Correlator: x-originating-ip: [10.21.40.96] Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable MIME-Version: 1.0 To: Undisclosed recipients:; Subject: [Caml-list] CFP: 5th Workshop on Big Data Benchmarking (WBDB 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 CALL FOR PAPERS=20=20=20=20=20 Fifth Workshop on Big Data Benchmarking (WBDB 2014)=20 August 5-6, 2014 - HPI, Potsdam, Germany http://clds.ucsd.edu/wbdb2014.de Sponsored by SAP, Pivotal, Mellanox **** Submission Deadline - May 14, 2014 ****=09 =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=20 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=20 working on the TPCx-HS benchmark, for Hadoop Systems. There have also been = presentations on a variety of proposed benchmarks=20 including, BigBench, HiBench, BigDataBenchmark, BigDecision, and the Deep=20 Analytics Pipeline.=09 Meeting Topics: To continue making progress towards big data benchmarking standards, the wo= rkshop will explore a range of issues including: - Data features: New feature sets of data including, high-dimensional data,= sparse data,=20 event-based data, and enormous data sizes. - System characteristics: System-level issues including, large-scale and ev= olving system configurations,=20 shifting loads, and heterogeneous technologies for big data and cloud pla= tforms. - Implementation options: Different implementation options such as SQL, NoS= QL, Hadoop software ecosystem, and different implementations of HDFS. - Workloads: Representative big data business problems and corresponding be= nchmark implementations. Specification=20 of benchmark applications that represent the different modalities of big = data, including graphs, streams,=20 scientific data, and document collections. - Hardware options: Evaluation of new options in hardware including differe= nt types of HDD, SSD, and main memory,=20 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-sca= le synthetic data with requisite properties. - Benchmark execution rules: E.g. data scale factors, benchmark versioning = to account for rapidly evolving workloads=20 and system configurations, benchmark metrics. - Metrics for efficiency: Measuring the efficiency of the solution, e.g. ba= sed on costs of acquisition, ownership,=20 energy and/or other factors, while encouraging innovation and avoiding be= nchmark escalations that favor large=20 inefficient configuration over small efficient configurations. - Evaluation frameworks: Tool chains, suites and frameworks for evaluating = big data systems.=20=20=20=20=20=20=20=20=20=20=20 - Early implementations: E.g. of, say, BigBench, HiBench, BigDataBenchmark,= BigDecision, and the Deep Analytics=20 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 =09 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 Toro= nto 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, Hortonworks Andreas Polze, Hasso-Plattner-Institut Alexander Reinefeld, Zuse Institute Berlin / HU Berlin Berni Schiefer, IBM Labs Toronto 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 Potsdam 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. 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