Resource Allocation in Cloud Computing Environment using AHP Technique
Cloud Computing has changed the strategy of the way of providing different services to business and government agent as well as to sole users. Cloud Computing provides scalable and on demand services to users irrespective of their physical area. But this computing technology has many challenges. One...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Singh, Anil [verfasserIn] Dutta, Kamlesh [verfasserIn] Singh, Avtar [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2014 |
|---|
| Umfang: |
1 Online-Ressource |
|---|
| Übergeordnetes Werk: |
Enthalten in: International journal of cloud applications and computing - Hershey, Pa : IGI Global, 2011, 4(2014), 1, Seite 33-44 |
|---|---|
| Übergeordnetes Werk: |
volume:4 ; year:2014 ; number:1 ; pages:33-44 |
| Links: |
|---|
| DOI / URN: |
10.4018/ijcac.2014010103 |
|---|
| Katalog-ID: |
NLEJ251790606 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLEJ251790606 | ||
| 003 | DE-627 | ||
| 005 | 20231205143835.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231128s2014 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.4018/ijcac.2014010103 |2 doi | |
| 035 | |a (DE-627)NLEJ251790606 | ||
| 035 | |a (VZGNL)10.4018/ijcac.2014010103 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Singh, Anil |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Resource Allocation in Cloud Computing Environment using AHP Technique |
| 264 | 1 | |c 2014 | |
| 300 | |a 1 Online-Ressource | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 520 | |a Cloud Computing has changed the strategy of the way of providing different services to business and government agent as well as to sole users. Cloud Computing provides scalable and on demand services to users irrespective of their physical area. But this computing technology has many challenges. One of them is on demand resource allocation. In this paper a resource allocation method is proposed based on Analytical Hierarchy Process (AHP) called Multicriteria Preference Synthesis (MPS) method. MPS method combines many AHP synthesis methods (Additive Normalization, EigenVector, Multicriteria Synthesis etc.) to assign the priorities to the users' tasks. In MPS method Error Criteria is used to provide the consistency in providing the priorities to users' tasks if any violation is there | ||
| 653 | |a Analytical Hierarchy Process |a Cloud Computing |a Euclidean Distance |a Multicriteria Preference Synthesis |a Resource Allocation | ||
| 700 | 1 | |a Dutta, Kamlesh |e verfasserin |4 aut | |
| 700 | 1 | |a Singh, Avtar |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t International journal of cloud applications and computing |d Hershey, Pa : IGI Global, 2011 |g 4(2014), 1, Seite 33-44 |h Online-Ressource |w (DE-627)NLEJ244418713 |w (DE-600)2628467-4 |x 2156-1826 |7 nnns |
| 773 | 1 | 8 | |g volume:4 |g year:2014 |g number:1 |g pages:33-44 |
| 856 | 4 | 0 | |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijcac.2014010103 |m X:IGIG |x Verlag |z Deutschlandweit zugänglich |
| 856 | 4 | 2 | |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijcac.2014010103&buylink=true |3 Abstract |
| 912 | |a ZDB-1-GIS | ||
| 912 | |a GBV_NL_ARTICLE | ||
| 951 | |a AR | ||
| 952 | |d 4 |j 2014 |e 1 |h 33-44 | ||
| author_variant |
a s as k d kd a s as |
|---|---|
| matchkey_str |
article:21561826:2014----::eoreloainnlucmuigniomn |
| hierarchy_sort_str |
2014 |
| publishDate |
2014 |
| allfields |
10.4018/ijcac.2014010103 doi (DE-627)NLEJ251790606 (VZGNL)10.4018/ijcac.2014010103 DE-627 ger DE-627 rakwb eng Singh, Anil verfasserin aut Resource Allocation in Cloud Computing Environment using AHP Technique 2014 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Cloud Computing has changed the strategy of the way of providing different services to business and government agent as well as to sole users. Cloud Computing provides scalable and on demand services to users irrespective of their physical area. But this computing technology has many challenges. One of them is on demand resource allocation. In this paper a resource allocation method is proposed based on Analytical Hierarchy Process (AHP) called Multicriteria Preference Synthesis (MPS) method. MPS method combines many AHP synthesis methods (Additive Normalization, EigenVector, Multicriteria Synthesis etc.) to assign the priorities to the users' tasks. In MPS method Error Criteria is used to provide the consistency in providing the priorities to users' tasks if any violation is there Analytical Hierarchy Process Cloud Computing Euclidean Distance Multicriteria Preference Synthesis Resource Allocation Dutta, Kamlesh verfasserin aut Singh, Avtar verfasserin aut Enthalten in International journal of cloud applications and computing Hershey, Pa : IGI Global, 2011 4(2014), 1, Seite 33-44 Online-Ressource (DE-627)NLEJ244418713 (DE-600)2628467-4 2156-1826 nnns volume:4 year:2014 number:1 pages:33-44 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijcac.2014010103 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijcac.2014010103&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 4 2014 1 33-44 |
| spelling |
10.4018/ijcac.2014010103 doi (DE-627)NLEJ251790606 (VZGNL)10.4018/ijcac.2014010103 DE-627 ger DE-627 rakwb eng Singh, Anil verfasserin aut Resource Allocation in Cloud Computing Environment using AHP Technique 2014 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Cloud Computing has changed the strategy of the way of providing different services to business and government agent as well as to sole users. Cloud Computing provides scalable and on demand services to users irrespective of their physical area. But this computing technology has many challenges. One of them is on demand resource allocation. In this paper a resource allocation method is proposed based on Analytical Hierarchy Process (AHP) called Multicriteria Preference Synthesis (MPS) method. MPS method combines many AHP synthesis methods (Additive Normalization, EigenVector, Multicriteria Synthesis etc.) to assign the priorities to the users' tasks. In MPS method Error Criteria is used to provide the consistency in providing the priorities to users' tasks if any violation is there Analytical Hierarchy Process Cloud Computing Euclidean Distance Multicriteria Preference Synthesis Resource Allocation Dutta, Kamlesh verfasserin aut Singh, Avtar verfasserin aut Enthalten in International journal of cloud applications and computing Hershey, Pa : IGI Global, 2011 4(2014), 1, Seite 33-44 Online-Ressource (DE-627)NLEJ244418713 (DE-600)2628467-4 2156-1826 nnns volume:4 year:2014 number:1 pages:33-44 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijcac.2014010103 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijcac.2014010103&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 4 2014 1 33-44 |
| allfields_unstemmed |
10.4018/ijcac.2014010103 doi (DE-627)NLEJ251790606 (VZGNL)10.4018/ijcac.2014010103 DE-627 ger DE-627 rakwb eng Singh, Anil verfasserin aut Resource Allocation in Cloud Computing Environment using AHP Technique 2014 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Cloud Computing has changed the strategy of the way of providing different services to business and government agent as well as to sole users. Cloud Computing provides scalable and on demand services to users irrespective of their physical area. But this computing technology has many challenges. One of them is on demand resource allocation. In this paper a resource allocation method is proposed based on Analytical Hierarchy Process (AHP) called Multicriteria Preference Synthesis (MPS) method. MPS method combines many AHP synthesis methods (Additive Normalization, EigenVector, Multicriteria Synthesis etc.) to assign the priorities to the users' tasks. In MPS method Error Criteria is used to provide the consistency in providing the priorities to users' tasks if any violation is there Analytical Hierarchy Process Cloud Computing Euclidean Distance Multicriteria Preference Synthesis Resource Allocation Dutta, Kamlesh verfasserin aut Singh, Avtar verfasserin aut Enthalten in International journal of cloud applications and computing Hershey, Pa : IGI Global, 2011 4(2014), 1, Seite 33-44 Online-Ressource (DE-627)NLEJ244418713 (DE-600)2628467-4 2156-1826 nnns volume:4 year:2014 number:1 pages:33-44 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijcac.2014010103 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijcac.2014010103&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 4 2014 1 33-44 |
| allfieldsGer |
10.4018/ijcac.2014010103 doi (DE-627)NLEJ251790606 (VZGNL)10.4018/ijcac.2014010103 DE-627 ger DE-627 rakwb eng Singh, Anil verfasserin aut Resource Allocation in Cloud Computing Environment using AHP Technique 2014 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Cloud Computing has changed the strategy of the way of providing different services to business and government agent as well as to sole users. Cloud Computing provides scalable and on demand services to users irrespective of their physical area. But this computing technology has many challenges. One of them is on demand resource allocation. In this paper a resource allocation method is proposed based on Analytical Hierarchy Process (AHP) called Multicriteria Preference Synthesis (MPS) method. MPS method combines many AHP synthesis methods (Additive Normalization, EigenVector, Multicriteria Synthesis etc.) to assign the priorities to the users' tasks. In MPS method Error Criteria is used to provide the consistency in providing the priorities to users' tasks if any violation is there Analytical Hierarchy Process Cloud Computing Euclidean Distance Multicriteria Preference Synthesis Resource Allocation Dutta, Kamlesh verfasserin aut Singh, Avtar verfasserin aut Enthalten in International journal of cloud applications and computing Hershey, Pa : IGI Global, 2011 4(2014), 1, Seite 33-44 Online-Ressource (DE-627)NLEJ244418713 (DE-600)2628467-4 2156-1826 nnns volume:4 year:2014 number:1 pages:33-44 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijcac.2014010103 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijcac.2014010103&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 4 2014 1 33-44 |
| allfieldsSound |
10.4018/ijcac.2014010103 doi (DE-627)NLEJ251790606 (VZGNL)10.4018/ijcac.2014010103 DE-627 ger DE-627 rakwb eng Singh, Anil verfasserin aut Resource Allocation in Cloud Computing Environment using AHP Technique 2014 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Cloud Computing has changed the strategy of the way of providing different services to business and government agent as well as to sole users. Cloud Computing provides scalable and on demand services to users irrespective of their physical area. But this computing technology has many challenges. One of them is on demand resource allocation. In this paper a resource allocation method is proposed based on Analytical Hierarchy Process (AHP) called Multicriteria Preference Synthesis (MPS) method. MPS method combines many AHP synthesis methods (Additive Normalization, EigenVector, Multicriteria Synthesis etc.) to assign the priorities to the users' tasks. In MPS method Error Criteria is used to provide the consistency in providing the priorities to users' tasks if any violation is there Analytical Hierarchy Process Cloud Computing Euclidean Distance Multicriteria Preference Synthesis Resource Allocation Dutta, Kamlesh verfasserin aut Singh, Avtar verfasserin aut Enthalten in International journal of cloud applications and computing Hershey, Pa : IGI Global, 2011 4(2014), 1, Seite 33-44 Online-Ressource (DE-627)NLEJ244418713 (DE-600)2628467-4 2156-1826 nnns volume:4 year:2014 number:1 pages:33-44 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijcac.2014010103 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijcac.2014010103&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 4 2014 1 33-44 |
| language |
English |
| source |
Enthalten in International journal of cloud applications and computing 4(2014), 1, Seite 33-44 volume:4 year:2014 number:1 pages:33-44 |
| sourceStr |
Enthalten in International journal of cloud applications and computing 4(2014), 1, Seite 33-44 volume:4 year:2014 number:1 pages:33-44 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
Analytical Hierarchy Process Cloud Computing Euclidean Distance Multicriteria Preference Synthesis Resource Allocation |
| isfreeaccess_bool |
false |
| container_title |
International journal of cloud applications and computing |
| authorswithroles_txt_mv |
Singh, Anil @@aut@@ Dutta, Kamlesh @@aut@@ Singh, Avtar @@aut@@ |
| publishDateDaySort_date |
2014-01-01T00:00:00Z |
| hierarchy_top_id |
NLEJ244418713 |
| id |
NLEJ251790606 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">NLEJ251790606</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20231205143835.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">231128s2014 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.4018/ijcac.2014010103</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)NLEJ251790606</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(VZGNL)10.4018/ijcac.2014010103</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Singh, Anil</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Resource Allocation in Cloud Computing Environment using AHP Technique</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2014</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Cloud Computing has changed the strategy of the way of providing different services to business and government agent as well as to sole users. Cloud Computing provides scalable and on demand services to users irrespective of their physical area. But this computing technology has many challenges. One of them is on demand resource allocation. In this paper a resource allocation method is proposed based on Analytical Hierarchy Process (AHP) called Multicriteria Preference Synthesis (MPS) method. MPS method combines many AHP synthesis methods (Additive Normalization, EigenVector, Multicriteria Synthesis etc.) to assign the priorities to the users' tasks. In MPS method Error Criteria is used to provide the consistency in providing the priorities to users' tasks if any violation is there</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Analytical Hierarchy Process</subfield><subfield code="a">Cloud Computing</subfield><subfield code="a">Euclidean Distance</subfield><subfield code="a">Multicriteria Preference Synthesis</subfield><subfield code="a">Resource Allocation</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Dutta, Kamlesh</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Singh, Avtar</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">International journal of cloud applications and computing</subfield><subfield code="d">Hershey, Pa : IGI Global, 2011</subfield><subfield code="g">4(2014), 1, Seite 33-44</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)NLEJ244418713</subfield><subfield code="w">(DE-600)2628467-4</subfield><subfield code="x">2156-1826</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:4</subfield><subfield code="g">year:2014</subfield><subfield code="g">number:1</subfield><subfield code="g">pages:33-44</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijcac.2014010103</subfield><subfield code="m">X:IGIG</subfield><subfield code="x">Verlag</subfield><subfield code="z">Deutschlandweit zugänglich</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijcac.2014010103&buylink=true</subfield><subfield code="3">Abstract</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-GIS</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_NL_ARTICLE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">4</subfield><subfield code="j">2014</subfield><subfield code="e">1</subfield><subfield code="h">33-44</subfield></datafield></record></collection>
|
| author |
Singh, Anil |
| spellingShingle |
Singh, Anil misc Analytical Hierarchy Process Resource Allocation in Cloud Computing Environment using AHP Technique |
| authorStr |
Singh, Anil |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)NLEJ244418713 |
| format |
electronic Article |
| delete_txt_mv |
keep |
| author_role |
aut aut aut |
| collection |
NL |
| remote_str |
true |
| illustrated |
Not Illustrated |
| issn |
2156-1826 |
| topic_title |
Resource Allocation in Cloud Computing Environment using AHP Technique |
| topic |
misc Analytical Hierarchy Process |
| topic_unstemmed |
misc Analytical Hierarchy Process |
| topic_browse |
misc Analytical Hierarchy Process |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
cr |
| hierarchy_parent_title |
International journal of cloud applications and computing |
| hierarchy_parent_id |
NLEJ244418713 |
| hierarchy_top_title |
International journal of cloud applications and computing |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)NLEJ244418713 (DE-600)2628467-4 |
| title |
Resource Allocation in Cloud Computing Environment using AHP Technique |
| ctrlnum |
(DE-627)NLEJ251790606 (VZGNL)10.4018/ijcac.2014010103 |
| title_full |
Resource Allocation in Cloud Computing Environment using AHP Technique |
| author_sort |
Singh, Anil |
| journal |
International journal of cloud applications and computing |
| journalStr |
International journal of cloud applications and computing |
| lang_code |
eng |
| isOA_bool |
false |
| recordtype |
marc |
| publishDateSort |
2014 |
| contenttype_str_mv |
txt |
| container_start_page |
33 |
| author_browse |
Singh, Anil Dutta, Kamlesh Singh, Avtar |
| container_volume |
4 |
| physical |
1 Online-Ressource |
| format_se |
Elektronische Aufsätze |
| author-letter |
Singh, Anil |
| doi_str_mv |
10.4018/ijcac.2014010103 |
| author2-role |
verfasserin |
| title_sort |
resource allocation in cloud computing environment using ahp technique |
| title_auth |
Resource Allocation in Cloud Computing Environment using AHP Technique |
| abstract |
Cloud Computing has changed the strategy of the way of providing different services to business and government agent as well as to sole users. Cloud Computing provides scalable and on demand services to users irrespective of their physical area. But this computing technology has many challenges. One of them is on demand resource allocation. In this paper a resource allocation method is proposed based on Analytical Hierarchy Process (AHP) called Multicriteria Preference Synthesis (MPS) method. MPS method combines many AHP synthesis methods (Additive Normalization, EigenVector, Multicriteria Synthesis etc.) to assign the priorities to the users' tasks. In MPS method Error Criteria is used to provide the consistency in providing the priorities to users' tasks if any violation is there |
| abstractGer |
Cloud Computing has changed the strategy of the way of providing different services to business and government agent as well as to sole users. Cloud Computing provides scalable and on demand services to users irrespective of their physical area. But this computing technology has many challenges. One of them is on demand resource allocation. In this paper a resource allocation method is proposed based on Analytical Hierarchy Process (AHP) called Multicriteria Preference Synthesis (MPS) method. MPS method combines many AHP synthesis methods (Additive Normalization, EigenVector, Multicriteria Synthesis etc.) to assign the priorities to the users' tasks. In MPS method Error Criteria is used to provide the consistency in providing the priorities to users' tasks if any violation is there |
| abstract_unstemmed |
Cloud Computing has changed the strategy of the way of providing different services to business and government agent as well as to sole users. Cloud Computing provides scalable and on demand services to users irrespective of their physical area. But this computing technology has many challenges. One of them is on demand resource allocation. In this paper a resource allocation method is proposed based on Analytical Hierarchy Process (AHP) called Multicriteria Preference Synthesis (MPS) method. MPS method combines many AHP synthesis methods (Additive Normalization, EigenVector, Multicriteria Synthesis etc.) to assign the priorities to the users' tasks. In MPS method Error Criteria is used to provide the consistency in providing the priorities to users' tasks if any violation is there |
| collection_details |
ZDB-1-GIS GBV_NL_ARTICLE |
| container_issue |
1 |
| title_short |
Resource Allocation in Cloud Computing Environment using AHP Technique |
| url |
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijcac.2014010103 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijcac.2014010103&buylink=true |
| remote_bool |
true |
| author2 |
Dutta, Kamlesh Singh, Avtar |
| author2Str |
Dutta, Kamlesh Singh, Avtar |
| ppnlink |
NLEJ244418713 |
| mediatype_str_mv |
c |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| doi_str |
10.4018/ijcac.2014010103 |
| up_date |
2024-07-06T11:36:59.101Z |
| _version_ |
1803829451529650176 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">NLEJ251790606</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20231205143835.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">231128s2014 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.4018/ijcac.2014010103</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)NLEJ251790606</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(VZGNL)10.4018/ijcac.2014010103</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Singh, Anil</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Resource Allocation in Cloud Computing Environment using AHP Technique</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2014</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Cloud Computing has changed the strategy of the way of providing different services to business and government agent as well as to sole users. Cloud Computing provides scalable and on demand services to users irrespective of their physical area. But this computing technology has many challenges. One of them is on demand resource allocation. In this paper a resource allocation method is proposed based on Analytical Hierarchy Process (AHP) called Multicriteria Preference Synthesis (MPS) method. MPS method combines many AHP synthesis methods (Additive Normalization, EigenVector, Multicriteria Synthesis etc.) to assign the priorities to the users' tasks. In MPS method Error Criteria is used to provide the consistency in providing the priorities to users' tasks if any violation is there</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Analytical Hierarchy Process</subfield><subfield code="a">Cloud Computing</subfield><subfield code="a">Euclidean Distance</subfield><subfield code="a">Multicriteria Preference Synthesis</subfield><subfield code="a">Resource Allocation</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Dutta, Kamlesh</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Singh, Avtar</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">International journal of cloud applications and computing</subfield><subfield code="d">Hershey, Pa : IGI Global, 2011</subfield><subfield code="g">4(2014), 1, Seite 33-44</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)NLEJ244418713</subfield><subfield code="w">(DE-600)2628467-4</subfield><subfield code="x">2156-1826</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:4</subfield><subfield code="g">year:2014</subfield><subfield code="g">number:1</subfield><subfield code="g">pages:33-44</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijcac.2014010103</subfield><subfield code="m">X:IGIG</subfield><subfield code="x">Verlag</subfield><subfield code="z">Deutschlandweit zugänglich</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijcac.2014010103&buylink=true</subfield><subfield code="3">Abstract</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-GIS</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_NL_ARTICLE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">4</subfield><subfield code="j">2014</subfield><subfield code="e">1</subfield><subfield code="h">33-44</subfield></datafield></record></collection>
|
| score |
7.400075 |