BibSLEIGH — Hans-Arno

Travelled to:

1 × Cyprus
1 × Germany
1 × Greece
1 × Italy
1 × Norway
2 × Australia
2 × China
2 × USA
3 × Canada

Collaborated with:

M.Sadoghi Z.Xu H.Liu C.Zhang B.J.Krämer M.Petrovic T.Rabl M.Jergler M.Najafi I.Burcea M.Danisch M.Frank S.Schindler M.Labrecque W.Shum H.Singh J.L.M.Pereira F.Fabret F.Llirbat D.Shasha F.Olken C.McParland M.A.Piette M.F.Anderson S.Gómez-Villamor V.Muntés-Mulero S.Mankowskii A.Ghazal M.Hu F.Raab M.Pöss A.Crolotte Y.Liu S.Hu W.Liu K.Wu J.Chen J.Li B.F.Cooper R.Ramakrishnan U.Srivastava A.Silberstein P.Bohannon N.Puz D.Weaver R.Yerneni

Talks about:

system (6) process (5) data (5) subscrib (4) publish (4) effici (4) big (4) index (3) high (3) base (3)

Person: Hans-Arno Jacobsen

DBLP: Jacobsen:Hans=Arno

Contributed to:

2015

2014

2013

2012

2011

2010

2008

2007

2005

2004

2003

2002

2001

2000

1998

Wrote 22 papers:

SIGMOD-2015-JerglerSJ #distributed #framework #named #workflow: D2WORM: A Management Infrastructure for Distributed Data-centric Workflows (MJ, MS, HAJ), pp. 1427–1432.
SIGMOD-2015-RablDFSJ #big data: Just can’t get enough: Synthesizing Big Data (TR, MD, MF, SS, HAJ), pp. 1457–1462.
VLDB-2014-LiuHRLJWCL #effectiveness #grid #multi #smarttech: DGFIndex for Smart Grid: Enhancing Hive with a Cost-Effective Multidimensional Range Index (YL, SH, TR, WL, HAJ, KW, JC, JL), pp. 1496–1507.
SIGMOD-2013-GhazalRHRPCJ #benchmark #big data #data analysis #industrial #metric #named #standard #towards: BigBench: towards an industry standard benchmark for big data analytics (AG, TR, MH, FR, MP, AC, HAJ), pp. 1197–1208.
VLDB-2013-NajafiSJ #flexibility #query: Flexible Query Processor on FPGAs (MN, MS, HAJ), pp. 1310–1313.
VLDB-2012-RablSJGMM #big data #challenge #enterprise #performance: Solving Big Data Challenges for Enterprise Application Performance Management (TR, MS, HAJ, SGV, VMM, SM), pp. 1724–1735.
SIGMOD-2011-SadoghiJ #named: BE-tree: an index structure to efficiently match boolean expressions over high-dimensional discrete space (MS, HAJ), pp. 637–648.
SIGMOD-2010-XuJ #network #proximity: Processing proximity relations in road networks (ZX, HAJ), pp. 243–254.
VLDB-2010-SadoghiJLSS #algorithm #configuration management #hardware #performance: Efficient Event Processing through Reconfigurable Hardware for Algorithmic Trading (MS, HAJ, ML, WS, HS), pp. 1525–1528.
ECOOP-2008-ZhangJ #concurrent #java: Externalizing Java Server Concurrency with CAL (CZ, HAJ), pp. 362–386.
VLDB-2008-CooperRSSBJPWY #exclamation #framework #named #platform: PNUTS: Yahoo!’s hosted data serving platform (BFC, RR, US, AS, PB, HAJ, NP, DW, RY), pp. 1277–1288.
SIGMOD-2007-XuJ #adaptation #constraints: Adaptive location constraint processing (ZX, HAJ), pp. 581–592.
VLDB-2005-PetrovicLJ #documentation #named #performance: CMS-ToPSS: Efficient Dissemination of RSS Documents (MP, HL, HAJ), pp. 1279–1282.
OOPSLA-2004-ZhangJ04a #middleware: Resolving feature convolution in middleware systems (CZ, HAJ), pp. 188–205.
VLDB-2004-LiuJ #information management #named: A-ToPSS: A Publish/Subscribe System Supporting Imperfect Information Processing (HL, HAJ), pp. 1281–1284.
VLDB-2004-XuJ #constraints #performance #personalisation: Efficient Constraint Processing for Highly Personalized Location Based Services (ZX, HAJ), pp. 1285–1288.
VLDB-2003-PetrovicBJ #named #semantics: S-ToPSS: Semantic Toronto Publish/Subscribe System (MP, IB, HAJ), pp. 1101–1104.
VLDB-2002-LiuJ #approximate #named: A-TOPSS — A Publish/Subscribe System Supporting Approximate Matching (HL, HAJ), pp. 1107–1110.
VLDB-2001-PereiraFJLS #named #xml: WebFilter: A High-throughput XML-based Publish and Subscribe System (JLMP, FF, HAJ, FL, DS), pp. 723–724.
TOOLS-PACIFIC-2000-JacobsenK #interface #modelling: Modeling Interface Definition Language Extensions (HAJ, BJK), pp. 242–252.
ASE-1998-JacobsenK #adaptation #approach #design pattern #generative: A Design Pattern based Approach to Generating Synchronization Adaptors from Annotated IDL (HAJ, BJK), p. 63–?.
OOPSLA-1998-OlkenJMPA #distributed #lessons learnt #monitoring: Object Lessons Learned from a Distributed System for Remote Building Monitoring and Operation (FO, HAJ, CM, MAP, MFA), pp. 284–295.