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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">SOAs for Scientific Applications: Experiences and Challenges</title><author><name sortKey="Krishnan, Sriram" sort="Krishnan, Sriram" uniqKey="Krishnan S" first="Sriram" last="Krishnan">Sriram Krishnan</name></author><author><name sortKey="Bhatia, Karan" sort="Bhatia, Karan" uniqKey="Bhatia K" first="Karan" last="Bhatia">Karan Bhatia</name></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">21308003</idno><idno type="pmc">3034148</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3034148</idno><idno type="RBID">PMC:3034148</idno><idno type="doi">10.1016/j.future.2008.09.001</idno><date when="2009">2009</date><idno type="wicri:Area/Pmc/Corpus">000309</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">SOAs for Scientific Applications: Experiences and Challenges</title><author><name sortKey="Krishnan, Sriram" sort="Krishnan, Sriram" uniqKey="Krishnan S" first="Sriram" last="Krishnan">Sriram Krishnan</name></author><author><name sortKey="Bhatia, Karan" sort="Bhatia, Karan" uniqKey="Bhatia K" first="Karan" last="Bhatia">Karan Bhatia</name></author></analytic><series><title level="j">Future generations computer systems : FGCS</title><idno type="ISSN">0167-739X</idno><idno type="eISSN">1872-7115</idno><imprint><date when="2009">2009</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p id="P1">Over the past several years, with the advent of the Open Grid Services Architecture (OGSA) (<xref ref-type="bibr" rid="R19">19</xref>) and the Web Services Resource Framework (WSRF) (<xref ref-type="bibr" rid="R25">25</xref>), Service-oriented Architectures (SOA) and Web service technologies have been embraced in the field of scientific and Grid computing. These new principles promise to help make scientific infrastructures simpler to use, more cost effective to implement, and easier to maintain. However, understanding how to leverage these developments to actually design and build a system remains more of an art than a science. In this paper, we present some positions learned through experience that provide guidance in leveraging SOA technologies to build scientific infrastructures. In addition, we present the technical challenges that need to be addressed in building an SOA, and as a case study, we present the SOA that we have designed for the National Biomedical Computation Resource (NBCR) (<xref ref-type="bibr" rid="R9">9</xref>) community. We discuss how we have addressed these technical challenges, and present the overall architecture, the individual software toolkits developed, the client interfaces, and the usage scenarios. We hope that our experiences prove to be useful in building similar infrastructures for other scientific applications.</p></div></front></TEI><pmc article-type="research-article" xml:lang="EN"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
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<front><journal-meta><journal-id journal-id-type="nlm-journal-id">9881585</journal-id><journal-id journal-id-type="pubmed-jr-id">38668</journal-id><journal-id journal-id-type="nlm-ta">Future Gener Comput Syst</journal-id><journal-title>Future generations computer systems : FGCS</journal-title><issn pub-type="ppub">0167-739X</issn><issn pub-type="epub">1872-7115</issn></journal-meta><article-meta><article-id pub-id-type="pmid">21308003</article-id><article-id pub-id-type="pmc">3034148</article-id><article-id pub-id-type="doi">10.1016/j.future.2008.09.001</article-id><article-id pub-id-type="manuscript">NIHMS243584</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>SOAs for Scientific Applications: Experiences and Challenges</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Krishnan</surname><given-names>Sriram</given-names></name><email>sriram@sdsc.edu</email></contrib><contrib contrib-type="author"><name><surname>Bhatia</surname><given-names>Karan</given-names></name><email>karan@sdsc.edu</email></contrib><aff id="A1">San Diego Supercomputer Center, UC San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0505</aff></contrib-group><pub-date pub-type="nihms-submitted"><day>22</day><month>1</month><year>2011</year></pub-date><pub-date pub-type="ppub"><day>1</day><month>4</month><year>2009</year></pub-date><pub-date pub-type="pmc-release"><day>6</day><month>2</month><year>2011</year></pub-date><volume>25</volume><issue>4</issue><fpage>466</fpage><lpage>473</lpage><permissions><copyright-statement>© 2008 Elsevier B.V. All rights reserved.</copyright-statement><copyright-year>2008</copyright-year></permissions><self-uri xlink:href="http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6V06-4TFW959-1&_user=10843&_coverDate=04%2F30%2F2009&_rdoc=1&_fmt=high&_orig=search&_origin=search&_sort=d&_docanchor=&view=c&_searchStrId=1632103516&_rerunOrigin=google&_acct=C000000150&_version=1&_urlVersion=0&_userid=10843&md5=5bc07a481e7a3da1b8620f4d892380ef&searchtype=a"></self-uri><abstract><p id="P1">Over the past several years, with the advent of the Open Grid Services Architecture (OGSA) (<xref ref-type="bibr" rid="R19">19</xref>) and the Web Services Resource Framework (WSRF) (<xref ref-type="bibr" rid="R25">25</xref>), Service-oriented Architectures (SOA) and Web service technologies have been embraced in the field of scientific and Grid computing. These new principles promise to help make scientific infrastructures simpler to use, more cost effective to implement, and easier to maintain. However, understanding how to leverage these developments to actually design and build a system remains more of an art than a science. In this paper, we present some positions learned through experience that provide guidance in leveraging SOA technologies to build scientific infrastructures. In addition, we present the technical challenges that need to be addressed in building an SOA, and as a case study, we present the SOA that we have designed for the National Biomedical Computation Resource (NBCR) (<xref ref-type="bibr" rid="R9">9</xref>) community. We discuss how we have addressed these technical challenges, and present the overall architecture, the individual software toolkits developed, the client interfaces, and the usage scenarios. We hope that our experiences prove to be useful in building similar infrastructures for other scientific applications.</p></abstract><kwd-group><kwd>SOA</kwd><kwd>Grid</kwd><kwd>Cyberinfrastructures</kwd><kwd>eScience</kwd></kwd-group><contract-num rid="RR1">P41 RR008605-18
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