<efrbr:recordSet xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:efrbr="http://vfrbr.info/efrbr/1.1" xmlns:efrbr-work="http://vfrbr.info/efrbr/1.1/work" xmlns:efrbr-expression="http://vfrbr.info/efrbr/1.1/expression" xmlns:efrbr-manifestation="http://vfrbr.info/efrbr/1.1/manifestation" xmlns:efrbr-person="http://vfrbr.info/efrbr/1.1/person" xmlns:efrbr-corporateBody="http://vfrbr.info/efrbr/1.1/corporateBody" xmlns:efrbr-concept="http://vfrbr.info/efrbr/1.1/concept" xmlns:efrbr-structure="http://vfrbr.info/efrbr/1.1/structure" xmlns:efrbr-responsible="http://vfrbr.info/efrbr/1.1/responsible" xmlns:efrbr-subject="http://vfrbr.info/efrbr/1.1/subject" xmlns:efrbr-other="http://vfrbr.info/efrbr/1.1/other" xsi:schemaLocation="http://vfrbr.info/efrbr/1.1 http://vfrbr.info/schemas/1.1/efrbr.xsd"><efrbr:entities><efrbr-work:work identifier="http://purl.tuc.gr/dl/dias/3BE2F74A-F86C-4A59-B4A9-C82262F2353E"><efrbr-work:titleOfTheWork>Parallel query scheduling and optimization with time- and space-shared resources</efrbr-work:titleOfTheWork></efrbr-work:work><efrbr-expression:expression identifier="http://purl.tuc.gr/dl/dias/3BE2F74A-F86C-4A59-B4A9-C82262F2353E"><efrbr-expression:titleOfTheExpression>Parallel query scheduling and optimization with time- and space-shared resources</efrbr-expression:titleOfTheExpression><efrbr-expression:formOfExpression vocabulary="DIAS:TYPES">
            Δημοσίευση σε Συνέδριο
            Conference Publication
         </efrbr-expression:formOfExpression><efrbr-expression:dateOfExpression type="issued">2015-12-01</efrbr-expression:dateOfExpression><efrbr-expression:dateOfExpression type="published">1997</efrbr-expression:dateOfExpression><efrbr-expression:languageOfExpression vocabulary="iso639-1">en</efrbr-expression:languageOfExpression><efrbr-expression:summarizationOfContent>Scheduling query execution plans is a particularly complex
problem in hierarchical parallel systems, where each
site consists of a collection of local time-shared (e.g.,
CPU(s) or disk(s)) and space-shared (e.g., memory) resources
and communicates with remote sites by messagepassing.
We develop a general approach to the problem,
capturing the full complexity of scheduling distributed
multi-dimensional resource units for all kinds of parallelism
within and across queries and operators. We present
heuristic algorithms for various forms of the problem, some
of which are provably near-optimal. Preliminary experimental
results confirm the effectiveness of our approach</efrbr-expression:summarizationOfContent><efrbr-expression:useRestrictionsOnTheExpression type="creative-commons">http://creativecommons.org/licenses/by/4.0/</efrbr-expression:useRestrictionsOnTheExpression><efrbr-expression:note type="page range">296-305</efrbr-expression:note><efrbr-expression:note type="conference name">23rd VLDB Conference </efrbr-expression:note><efrbr-expression:note type="proceedings title">Proceedings of VLDB'97</efrbr-expression:note></efrbr-expression:expression><efrbr-person:person identifier="http://users.isc.tuc.gr/~mgarofalakis"><efrbr-person:nameOfPerson vocabulary="TUC:LDAP">
            Garofalakis Minos
            Γαροφαλακης Μινως
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-person:person identifier="http://viaf.org/viaf/264572559"><efrbr-person:nameOfPerson vocabulary="VIAF">
            Ioannidis, Yannis, 1930-
         </efrbr-person:nameOfPerson></efrbr-person:person><efrbr-concept:concept identifier="ADED4B72-6F65-4D8B-BB87-4DA5603C7F8B"><efrbr-concept:termForTheConcept>
            Databases
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