000 04007nam a22005055i 4500
001 978-3-642-30715-7
003 DE-He213
005 20140220083319.0
007 cr nn 008mamaa
008 120814s2012 gw | s |||| 0|eng d
020 _a9783642307157
_9978-3-642-30715-7
024 7 _a10.1007/978-3-642-30715-7
_2doi
050 4 _aQA76.76.A65
072 7 _aUNH
_2bicssc
072 7 _aUDBD
_2bicssc
072 7 _aCOM032000
_2bisacsh
082 0 4 _a005.7
_223
100 1 _aQin, Jun.
_eauthor.
245 1 0 _aScientific Workflows
_h[electronic resource] :
_bProgramming, Optimization, and Synthesis with ASKALON and AWDL /
_cby Jun Qin, Thomas Fahringer.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2012.
300 _aXXI, 222 p. 98 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aPart I Overview -- Introduction -- Prerequisites -- Part II Programming -- Abstract Workflow Description Language (AWDL) -- Workflow Modularization -- UML Based Scientific Workflow Modeling -- Part III Optimization -- Collection Oriented Data Flow Support for Scientific Workflows -- Part IV Synthesis -- Semantic-Based Scientific Workflow Composition -- Automatic Scientific Workflow Composition -- Part V Related Work -- Related Work -- Part VI Conclusions -- Conclusions -- Part VII Appendices -- Acronyms -- Symbols.
520 _aCreating scientific workflow applications is a very challenging task due to the complexity of the distributed computing environments involved, the complex control and data flow requirements of scientific applications, and the lack of high-level languages and tools support. Particularly, sophisticated expertise in distributed computing is commonly required to determine the software entities to perform computations of workflow tasks, the computers on which workflow tasks are to be executed, the actual execution order of workflow tasks, and the data transfer between them. Qin and Fahringer present a novel workflow language called Abstract Workflow Description Language (AWDL) and the corresponding standards-based, knowledge-enabled tool support, which simplifies the development of scientific workflow applications. AWDL is an XML-based language for describing scientific workflow applications at a high level of abstraction. It is designed in a way that allows users to concentrate on specifying such workflow applications without dealing with either the complexity of distributed computing environments or any specific implementation technology. This research monograph is organized into five parts: overview, programming, optimization, synthesis, and conclusion, and is complemented by an appendix and an extensive reference list. The topics covered in this book will be of interest to both computer science researchers (e.g. in distributed programming, grid computing, or large-scale scientific applications) and domain scientists who need to apply workflow technologies in their work, as well as engineers who want to develop distributed and high-throughput workflow applications, languages and tools.
650 0 _aComputer science.
650 0 _aComputer Communication Networks.
650 0 _aSoftware engineering.
650 0 _aArtificial intelligence.
650 1 4 _aComputer Science.
650 2 4 _aInformation Systems Applications (incl. Internet).
650 2 4 _aSpecial Purpose and Application-Based Systems.
650 2 4 _aComputer Communication Networks.
650 2 4 _aComputer Applications.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aFahringer, Thomas.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642307140
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-30715-7
912 _aZDB-2-SCS
999 _c103231
_d103231