Preference–Based Matchmaking of Grid Resources with CP–Nets View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2013-06

AUTHORS

Massimo Cafaro, Maria Mirto, Giovanni Aloisio

ABSTRACT

We deal with the problem of preference-based matchmaking of computational resources belonging to a Grid. We introduce CP–Nets, a recent development in the field of Artificial Intelligence, as a means to deal with user’s preferences in the context of Grid scheduling. We discuss CP–Nets from a theoretical perspective and then analyze, qualitatively and quantitatively, their impact on the matchmaking process, with the help of a Grid simulator we developed for this purpose. Many different experiments have been setup and carried out, and we report here our main findings and the lessons learnt. More... »

PAGES

211-237

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10723-012-9235-2

DOI

http://dx.doi.org/10.1007/s10723-012-9235-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1039462425


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Euro-Mediterranean Center for Climate Change", 
          "id": "https://www.grid.ac/institutes/grid.423878.2", 
          "name": [
            "University of Salento, Lecce, Italy", 
            "CMCC\u2014Euro-Mediterranean Centre on Climate Change, Lecce, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cafaro", 
        "givenName": "Massimo", 
        "id": "sg:person.014532601703.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014532601703.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Euro-Mediterranean Center for Climate Change", 
          "id": "https://www.grid.ac/institutes/grid.423878.2", 
          "name": [
            "CMCC\u2014Euro-Mediterranean Centre on Climate Change, Lecce, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mirto", 
        "givenName": "Maria", 
        "id": "sg:person.013367070743.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013367070743.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Euro-Mediterranean Center for Climate Change", 
          "id": "https://www.grid.ac/institutes/grid.423878.2", 
          "name": [
            "University of Salento, Lecce, Italy", 
            "CMCC\u2014Euro-Mediterranean Centre on Climate Change, Lecce, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Aloisio", 
        "givenName": "Giovanni", 
        "id": "sg:person.010013573543.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010013573543.47"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/978-1-4615-0509-9_22", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000076921", 
          "https://doi.org/10.1007/978-1-4615-0509-9_22"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4615-0509-9_6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001354012", 
          "https://doi.org/10.1007/978-1-4615-0509-9_6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10723-005-9019-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001635745", 
          "https://doi.org/10.1007/s10723-005-9019-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10723-005-9019-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001635745", 
          "https://doi.org/10.1007/s10723-005-9019-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0743-7315(03)00108-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002828411"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0743-7315(03)00108-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002828411"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/11605300_2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005688232", 
          "https://doi.org/10.1007/11605300_2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/11605300_2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005688232", 
          "https://doi.org/10.1007/11605300_2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10723-006-9041-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007213404", 
          "https://doi.org/10.1007/s10723-006-9041-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.future.2010.06.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007570374"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.future.2009.08.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007823833"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/1-84628-339-6_3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008509760", 
          "https://doi.org/10.1007/1-84628-339-6_3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1014897210525", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015712383", 
          "https://doi.org/10.1023/a:1014897210525"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10723-008-9099-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020382906", 
          "https://doi.org/10.1007/s10723-008-9099-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/1013367.1013458", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021633488"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.future.2008.09.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022879913"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cpe.1355", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023087579"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10723-004-6040-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035977656", 
          "https://doi.org/10.1007/s10723-004-6040-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1155/2000/481921", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039498922"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/0470867167.ch11", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047666157"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cpe.710", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048058103"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.future.2007.06.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048694897"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/253262.253294", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063163100"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/109434200101500302", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063976913"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/109434200101500302", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063976913"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.21236/ada599015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091578177"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/e-science.2005.46", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093211465"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/hpdc.1999.805287", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093618880"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/ride.2004.1281697", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093670285"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/ipdps.2003.1213206", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093739723"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/uksim.2008.28", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094184408"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/icpads.2007.4447835", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094896216"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/grid.2004.62", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095188190"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/ccgrid.2006.49", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095289979"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/e-science.2007.51", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095340544"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/csie.2009.950", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095366631"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/hpdc.2001.945188", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095581956"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/hpdc.2002.1029904", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1095782908"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4108/icst.simutools2010.8722", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099262602"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4108/icst.simutools2010.8722", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099262602"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1613/jair.1234", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1105579286"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-06", 
    "datePublishedReg": "2013-06-01", 
    "description": "We deal with the problem of preference-based matchmaking of computational resources belonging to a Grid. We introduce CP\u2013Nets, a recent development in the field of Artificial Intelligence, as a means to deal with user\u2019s preferences in the context of Grid scheduling. We discuss CP\u2013Nets from a theoretical perspective and then analyze, qualitatively and quantitatively, their impact on the matchmaking process, with the help of a Grid simulator we developed for this purpose. Many different experiments have been setup and carried out, and we report here our main findings and the lessons learnt.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10723-012-9235-2", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136354", 
        "issn": [
          "1570-7873", 
          "1572-9184"
        ], 
        "name": "Journal of Grid Computing", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "11"
      }
    ], 
    "name": "Preference\u2013Based Matchmaking of Grid Resources with CP\u2013Nets", 
    "pagination": "211-237", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "bbfb33acdbc16fadc064fb9094e6cf128ca2336b78835cbbba1132bb15671a48"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10723-012-9235-2"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1039462425"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10723-012-9235-2", 
      "https://app.dimensions.ai/details/publication/pub.1039462425"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T17:43", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8672_00000591.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs10723-012-9235-2"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10723-012-9235-2'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10723-012-9235-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10723-012-9235-2'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10723-012-9235-2'


 

This table displays all metadata directly associated to this object as RDF triples.

193 TRIPLES      21 PREDICATES      63 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10723-012-9235-2 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author N1bdefa4bf59c4b5e93703948d6b479cd
4 schema:citation sg:pub.10.1007/1-84628-339-6_3
5 sg:pub.10.1007/11605300_2
6 sg:pub.10.1007/978-1-4615-0509-9_22
7 sg:pub.10.1007/978-1-4615-0509-9_6
8 sg:pub.10.1007/s10723-004-6040-6
9 sg:pub.10.1007/s10723-005-9019-z
10 sg:pub.10.1007/s10723-006-9041-9
11 sg:pub.10.1007/s10723-008-9099-7
12 sg:pub.10.1023/a:1014897210525
13 https://doi.org/10.1002/0470867167.ch11
14 https://doi.org/10.1002/cpe.1355
15 https://doi.org/10.1002/cpe.710
16 https://doi.org/10.1016/j.future.2007.06.001
17 https://doi.org/10.1016/j.future.2008.09.012
18 https://doi.org/10.1016/j.future.2009.08.003
19 https://doi.org/10.1016/j.future.2010.06.002
20 https://doi.org/10.1016/s0743-7315(03)00108-4
21 https://doi.org/10.1109/ccgrid.2006.49
22 https://doi.org/10.1109/csie.2009.950
23 https://doi.org/10.1109/e-science.2005.46
24 https://doi.org/10.1109/e-science.2007.51
25 https://doi.org/10.1109/grid.2004.62
26 https://doi.org/10.1109/hpdc.1999.805287
27 https://doi.org/10.1109/hpdc.2001.945188
28 https://doi.org/10.1109/hpdc.2002.1029904
29 https://doi.org/10.1109/icpads.2007.4447835
30 https://doi.org/10.1109/ipdps.2003.1213206
31 https://doi.org/10.1109/ride.2004.1281697
32 https://doi.org/10.1109/uksim.2008.28
33 https://doi.org/10.1145/1013367.1013458
34 https://doi.org/10.1145/253262.253294
35 https://doi.org/10.1155/2000/481921
36 https://doi.org/10.1177/109434200101500302
37 https://doi.org/10.1613/jair.1234
38 https://doi.org/10.21236/ada599015
39 https://doi.org/10.4108/icst.simutools2010.8722
40 schema:datePublished 2013-06
41 schema:datePublishedReg 2013-06-01
42 schema:description We deal with the problem of preference-based matchmaking of computational resources belonging to a Grid. We introduce CP–Nets, a recent development in the field of Artificial Intelligence, as a means to deal with user’s preferences in the context of Grid scheduling. We discuss CP–Nets from a theoretical perspective and then analyze, qualitatively and quantitatively, their impact on the matchmaking process, with the help of a Grid simulator we developed for this purpose. Many different experiments have been setup and carried out, and we report here our main findings and the lessons learnt.
43 schema:genre research_article
44 schema:inLanguage en
45 schema:isAccessibleForFree false
46 schema:isPartOf N48edf6c51d3b493d961dcc1a6c986085
47 Na987a0e4e9d04b14a7c2511e0115d111
48 sg:journal.1136354
49 schema:name Preference–Based Matchmaking of Grid Resources with CP–Nets
50 schema:pagination 211-237
51 schema:productId N700fbed0472c41e984af67a474140c28
52 N7819d5b3d8f34c22b6bf1e360cee62c6
53 N861c6cdc1920482c92d08b067316ba52
54 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039462425
55 https://doi.org/10.1007/s10723-012-9235-2
56 schema:sdDatePublished 2019-04-10T17:43
57 schema:sdLicense https://scigraph.springernature.com/explorer/license/
58 schema:sdPublisher Nbb672ae1a79b4df180393ff8f4fb66fd
59 schema:url http://link.springer.com/10.1007%2Fs10723-012-9235-2
60 sgo:license sg:explorer/license/
61 sgo:sdDataset articles
62 rdf:type schema:ScholarlyArticle
63 N1bdefa4bf59c4b5e93703948d6b479cd rdf:first sg:person.014532601703.25
64 rdf:rest Nec66f1fe284149069c1dc975efa2b313
65 N48edf6c51d3b493d961dcc1a6c986085 schema:volumeNumber 11
66 rdf:type schema:PublicationVolume
67 N700fbed0472c41e984af67a474140c28 schema:name doi
68 schema:value 10.1007/s10723-012-9235-2
69 rdf:type schema:PropertyValue
70 N7819d5b3d8f34c22b6bf1e360cee62c6 schema:name dimensions_id
71 schema:value pub.1039462425
72 rdf:type schema:PropertyValue
73 N861c6cdc1920482c92d08b067316ba52 schema:name readcube_id
74 schema:value bbfb33acdbc16fadc064fb9094e6cf128ca2336b78835cbbba1132bb15671a48
75 rdf:type schema:PropertyValue
76 N93b41b658de3474fb72e0699751caf35 rdf:first sg:person.010013573543.47
77 rdf:rest rdf:nil
78 Na987a0e4e9d04b14a7c2511e0115d111 schema:issueNumber 2
79 rdf:type schema:PublicationIssue
80 Nbb672ae1a79b4df180393ff8f4fb66fd schema:name Springer Nature - SN SciGraph project
81 rdf:type schema:Organization
82 Nec66f1fe284149069c1dc975efa2b313 rdf:first sg:person.013367070743.12
83 rdf:rest N93b41b658de3474fb72e0699751caf35
84 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
85 schema:name Information and Computing Sciences
86 rdf:type schema:DefinedTerm
87 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
88 schema:name Artificial Intelligence and Image Processing
89 rdf:type schema:DefinedTerm
90 sg:journal.1136354 schema:issn 1570-7873
91 1572-9184
92 schema:name Journal of Grid Computing
93 rdf:type schema:Periodical
94 sg:person.010013573543.47 schema:affiliation https://www.grid.ac/institutes/grid.423878.2
95 schema:familyName Aloisio
96 schema:givenName Giovanni
97 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010013573543.47
98 rdf:type schema:Person
99 sg:person.013367070743.12 schema:affiliation https://www.grid.ac/institutes/grid.423878.2
100 schema:familyName Mirto
101 schema:givenName Maria
102 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013367070743.12
103 rdf:type schema:Person
104 sg:person.014532601703.25 schema:affiliation https://www.grid.ac/institutes/grid.423878.2
105 schema:familyName Cafaro
106 schema:givenName Massimo
107 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014532601703.25
108 rdf:type schema:Person
109 sg:pub.10.1007/1-84628-339-6_3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008509760
110 https://doi.org/10.1007/1-84628-339-6_3
111 rdf:type schema:CreativeWork
112 sg:pub.10.1007/11605300_2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005688232
113 https://doi.org/10.1007/11605300_2
114 rdf:type schema:CreativeWork
115 sg:pub.10.1007/978-1-4615-0509-9_22 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000076921
116 https://doi.org/10.1007/978-1-4615-0509-9_22
117 rdf:type schema:CreativeWork
118 sg:pub.10.1007/978-1-4615-0509-9_6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001354012
119 https://doi.org/10.1007/978-1-4615-0509-9_6
120 rdf:type schema:CreativeWork
121 sg:pub.10.1007/s10723-004-6040-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035977656
122 https://doi.org/10.1007/s10723-004-6040-6
123 rdf:type schema:CreativeWork
124 sg:pub.10.1007/s10723-005-9019-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1001635745
125 https://doi.org/10.1007/s10723-005-9019-z
126 rdf:type schema:CreativeWork
127 sg:pub.10.1007/s10723-006-9041-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007213404
128 https://doi.org/10.1007/s10723-006-9041-9
129 rdf:type schema:CreativeWork
130 sg:pub.10.1007/s10723-008-9099-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020382906
131 https://doi.org/10.1007/s10723-008-9099-7
132 rdf:type schema:CreativeWork
133 sg:pub.10.1023/a:1014897210525 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015712383
134 https://doi.org/10.1023/a:1014897210525
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1002/0470867167.ch11 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047666157
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1002/cpe.1355 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023087579
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1002/cpe.710 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048058103
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1016/j.future.2007.06.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048694897
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1016/j.future.2008.09.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022879913
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1016/j.future.2009.08.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007823833
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1016/j.future.2010.06.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007570374
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1016/s0743-7315(03)00108-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002828411
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1109/ccgrid.2006.49 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095289979
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1109/csie.2009.950 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095366631
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1109/e-science.2005.46 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093211465
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1109/e-science.2007.51 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095340544
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1109/grid.2004.62 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095188190
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1109/hpdc.1999.805287 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093618880
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1109/hpdc.2001.945188 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095581956
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1109/hpdc.2002.1029904 schema:sameAs https://app.dimensions.ai/details/publication/pub.1095782908
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1109/icpads.2007.4447835 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094896216
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1109/ipdps.2003.1213206 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093739723
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1109/ride.2004.1281697 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093670285
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1109/uksim.2008.28 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094184408
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1145/1013367.1013458 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021633488
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1145/253262.253294 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063163100
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1155/2000/481921 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039498922
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1177/109434200101500302 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063976913
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1613/jair.1234 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105579286
185 rdf:type schema:CreativeWork
186 https://doi.org/10.21236/ada599015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091578177
187 rdf:type schema:CreativeWork
188 https://doi.org/10.4108/icst.simutools2010.8722 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099262602
189 rdf:type schema:CreativeWork
190 https://www.grid.ac/institutes/grid.423878.2 schema:alternateName Euro-Mediterranean Center for Climate Change
191 schema:name CMCC—Euro-Mediterranean Centre on Climate Change, Lecce, Italy
192 University of Salento, Lecce, Italy
193 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...