TOWARDSRUNTIMESELF-ADAPTIVEMODELBASED-ONCOMPUTINGRESOURCE
Computing systems can be changed adaptively according to business object specified by administrators to adapt to the impact of dynamic factors during the software evolution. The computing resource, which is the inner driving power of self-adaptive software, is selected as cutting point of the resear...
Ausführliche Beschreibung
Autor*in: |
Hua Wang [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2018 |
---|
Schlagwörter: |
---|
Übergeordnetes Werk: |
In: Journal of Research in Engineering and Applied Sciences - Yeshwantrao Chavan College of Engineering, India, 2020, 3(2018), 2, Seite 48-51 |
---|---|
Übergeordnetes Werk: |
volume:3 ; year:2018 ; number:2 ; pages:48-51 |
Links: |
Link aufrufen |
---|
Katalog-ID: |
DOAJ04591611X |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | DOAJ04591611X | ||
003 | DE-627 | ||
005 | 20230308100844.0 | ||
007 | cr uuu---uuuuu | ||
008 | 230227s2018 xx |||||o 00| ||eng c | ||
035 | |a (DE-627)DOAJ04591611X | ||
035 | |a (DE-599)DOAJ72c20caa3b3e45a5b278f832cfe18d8f | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
050 | 0 | |a TK1-9971 | |
050 | 0 | |a TJ1-1570 | |
100 | 0 | |a Hua Wang |e verfasserin |4 aut | |
245 | 1 | 0 | |a TOWARDSRUNTIMESELF-ADAPTIVEMODELBASED-ONCOMPUTINGRESOURCE |
264 | 1 | |c 2018 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
520 | |a Computing systems can be changed adaptively according to business object specified by administrators to adapt to the impact of dynamic factors during the software evolution. The computing resource, which is the inner driving power of self-adaptive software, is selected as cutting point of the research. The paper analysed the effect on the self-adaptability of computing resource at runtime. The self-adaptive model at runtime was presented based on computing resource. XMLtechnology was employed to describe the context environment at runtime and Markov Chain was used to model the system behaviour. The component code was optimized by the self-adaptive optimizing engine. We show how such an approach can be woven into a health evaluation system and demonstrate the benefits of the proposed approach. | ||
650 | 4 | |a self-adaptation | |
650 | 4 | |a markov chain | |
650 | 4 | |a computing resource. | |
653 | 0 | |a Electrical engineering. Electronics. Nuclear engineering | |
653 | 0 | |a Mechanical engineering and machinery | |
773 | 0 | 8 | |i In |t Journal of Research in Engineering and Applied Sciences |d Yeshwantrao Chavan College of Engineering, India, 2020 |g 3(2018), 2, Seite 48-51 |w (DE-627)1760593214 |x 24566403 |7 nnns |
773 | 1 | 8 | |g volume:3 |g year:2018 |g number:2 |g pages:48-51 |
856 | 4 | 0 | |u https://doi.org/10.46565/jreas.2018.v03i02.002 |z kostenfrei |
856 | 4 | 0 | |u https://doaj.org/article/72c20caa3b3e45a5b278f832cfe18d8f |z kostenfrei |
856 | 4 | 0 | |u http://www.mgijournal.com/Data/Issues_AdminPdf/115/2-Volume%203%20Issue%202%20%20April%202018.pdf |z kostenfrei |
856 | 4 | 2 | |u https://doaj.org/toc/2456-6403 |y Journal toc |z kostenfrei |
856 | 4 | 2 | |u https://doaj.org/toc/2456-6403 |y Journal toc |z kostenfrei |
912 | |a GBV_USEFLAG_A | ||
912 | |a SYSFLAG_A | ||
912 | |a GBV_DOAJ | ||
951 | |a AR | ||
952 | |d 3 |j 2018 |e 2 |h 48-51 |
author_variant |
h w hw |
---|---|
matchkey_str |
article:24566403:2018----::oadrnieefdpieoebsdn |
hierarchy_sort_str |
2018 |
callnumber-subject-code |
TK |
publishDate |
2018 |
allfields |
(DE-627)DOAJ04591611X (DE-599)DOAJ72c20caa3b3e45a5b278f832cfe18d8f DE-627 ger DE-627 rakwb eng TK1-9971 TJ1-1570 Hua Wang verfasserin aut TOWARDSRUNTIMESELF-ADAPTIVEMODELBASED-ONCOMPUTINGRESOURCE 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Computing systems can be changed adaptively according to business object specified by administrators to adapt to the impact of dynamic factors during the software evolution. The computing resource, which is the inner driving power of self-adaptive software, is selected as cutting point of the research. The paper analysed the effect on the self-adaptability of computing resource at runtime. The self-adaptive model at runtime was presented based on computing resource. XMLtechnology was employed to describe the context environment at runtime and Markov Chain was used to model the system behaviour. The component code was optimized by the self-adaptive optimizing engine. We show how such an approach can be woven into a health evaluation system and demonstrate the benefits of the proposed approach. self-adaptation markov chain computing resource. Electrical engineering. Electronics. Nuclear engineering Mechanical engineering and machinery In Journal of Research in Engineering and Applied Sciences Yeshwantrao Chavan College of Engineering, India, 2020 3(2018), 2, Seite 48-51 (DE-627)1760593214 24566403 nnns volume:3 year:2018 number:2 pages:48-51 https://doi.org/10.46565/jreas.2018.v03i02.002 kostenfrei https://doaj.org/article/72c20caa3b3e45a5b278f832cfe18d8f kostenfrei http://www.mgijournal.com/Data/Issues_AdminPdf/115/2-Volume%203%20Issue%202%20%20April%202018.pdf kostenfrei https://doaj.org/toc/2456-6403 Journal toc kostenfrei https://doaj.org/toc/2456-6403 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ AR 3 2018 2 48-51 |
spelling |
(DE-627)DOAJ04591611X (DE-599)DOAJ72c20caa3b3e45a5b278f832cfe18d8f DE-627 ger DE-627 rakwb eng TK1-9971 TJ1-1570 Hua Wang verfasserin aut TOWARDSRUNTIMESELF-ADAPTIVEMODELBASED-ONCOMPUTINGRESOURCE 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Computing systems can be changed adaptively according to business object specified by administrators to adapt to the impact of dynamic factors during the software evolution. The computing resource, which is the inner driving power of self-adaptive software, is selected as cutting point of the research. The paper analysed the effect on the self-adaptability of computing resource at runtime. The self-adaptive model at runtime was presented based on computing resource. XMLtechnology was employed to describe the context environment at runtime and Markov Chain was used to model the system behaviour. The component code was optimized by the self-adaptive optimizing engine. We show how such an approach can be woven into a health evaluation system and demonstrate the benefits of the proposed approach. self-adaptation markov chain computing resource. Electrical engineering. Electronics. Nuclear engineering Mechanical engineering and machinery In Journal of Research in Engineering and Applied Sciences Yeshwantrao Chavan College of Engineering, India, 2020 3(2018), 2, Seite 48-51 (DE-627)1760593214 24566403 nnns volume:3 year:2018 number:2 pages:48-51 https://doi.org/10.46565/jreas.2018.v03i02.002 kostenfrei https://doaj.org/article/72c20caa3b3e45a5b278f832cfe18d8f kostenfrei http://www.mgijournal.com/Data/Issues_AdminPdf/115/2-Volume%203%20Issue%202%20%20April%202018.pdf kostenfrei https://doaj.org/toc/2456-6403 Journal toc kostenfrei https://doaj.org/toc/2456-6403 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ AR 3 2018 2 48-51 |
allfields_unstemmed |
(DE-627)DOAJ04591611X (DE-599)DOAJ72c20caa3b3e45a5b278f832cfe18d8f DE-627 ger DE-627 rakwb eng TK1-9971 TJ1-1570 Hua Wang verfasserin aut TOWARDSRUNTIMESELF-ADAPTIVEMODELBASED-ONCOMPUTINGRESOURCE 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Computing systems can be changed adaptively according to business object specified by administrators to adapt to the impact of dynamic factors during the software evolution. The computing resource, which is the inner driving power of self-adaptive software, is selected as cutting point of the research. The paper analysed the effect on the self-adaptability of computing resource at runtime. The self-adaptive model at runtime was presented based on computing resource. XMLtechnology was employed to describe the context environment at runtime and Markov Chain was used to model the system behaviour. The component code was optimized by the self-adaptive optimizing engine. We show how such an approach can be woven into a health evaluation system and demonstrate the benefits of the proposed approach. self-adaptation markov chain computing resource. Electrical engineering. Electronics. Nuclear engineering Mechanical engineering and machinery In Journal of Research in Engineering and Applied Sciences Yeshwantrao Chavan College of Engineering, India, 2020 3(2018), 2, Seite 48-51 (DE-627)1760593214 24566403 nnns volume:3 year:2018 number:2 pages:48-51 https://doi.org/10.46565/jreas.2018.v03i02.002 kostenfrei https://doaj.org/article/72c20caa3b3e45a5b278f832cfe18d8f kostenfrei http://www.mgijournal.com/Data/Issues_AdminPdf/115/2-Volume%203%20Issue%202%20%20April%202018.pdf kostenfrei https://doaj.org/toc/2456-6403 Journal toc kostenfrei https://doaj.org/toc/2456-6403 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ AR 3 2018 2 48-51 |
allfieldsGer |
(DE-627)DOAJ04591611X (DE-599)DOAJ72c20caa3b3e45a5b278f832cfe18d8f DE-627 ger DE-627 rakwb eng TK1-9971 TJ1-1570 Hua Wang verfasserin aut TOWARDSRUNTIMESELF-ADAPTIVEMODELBASED-ONCOMPUTINGRESOURCE 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Computing systems can be changed adaptively according to business object specified by administrators to adapt to the impact of dynamic factors during the software evolution. The computing resource, which is the inner driving power of self-adaptive software, is selected as cutting point of the research. The paper analysed the effect on the self-adaptability of computing resource at runtime. The self-adaptive model at runtime was presented based on computing resource. XMLtechnology was employed to describe the context environment at runtime and Markov Chain was used to model the system behaviour. The component code was optimized by the self-adaptive optimizing engine. We show how such an approach can be woven into a health evaluation system and demonstrate the benefits of the proposed approach. self-adaptation markov chain computing resource. Electrical engineering. Electronics. Nuclear engineering Mechanical engineering and machinery In Journal of Research in Engineering and Applied Sciences Yeshwantrao Chavan College of Engineering, India, 2020 3(2018), 2, Seite 48-51 (DE-627)1760593214 24566403 nnns volume:3 year:2018 number:2 pages:48-51 https://doi.org/10.46565/jreas.2018.v03i02.002 kostenfrei https://doaj.org/article/72c20caa3b3e45a5b278f832cfe18d8f kostenfrei http://www.mgijournal.com/Data/Issues_AdminPdf/115/2-Volume%203%20Issue%202%20%20April%202018.pdf kostenfrei https://doaj.org/toc/2456-6403 Journal toc kostenfrei https://doaj.org/toc/2456-6403 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ AR 3 2018 2 48-51 |
allfieldsSound |
(DE-627)DOAJ04591611X (DE-599)DOAJ72c20caa3b3e45a5b278f832cfe18d8f DE-627 ger DE-627 rakwb eng TK1-9971 TJ1-1570 Hua Wang verfasserin aut TOWARDSRUNTIMESELF-ADAPTIVEMODELBASED-ONCOMPUTINGRESOURCE 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Computing systems can be changed adaptively according to business object specified by administrators to adapt to the impact of dynamic factors during the software evolution. The computing resource, which is the inner driving power of self-adaptive software, is selected as cutting point of the research. The paper analysed the effect on the self-adaptability of computing resource at runtime. The self-adaptive model at runtime was presented based on computing resource. XMLtechnology was employed to describe the context environment at runtime and Markov Chain was used to model the system behaviour. The component code was optimized by the self-adaptive optimizing engine. We show how such an approach can be woven into a health evaluation system and demonstrate the benefits of the proposed approach. self-adaptation markov chain computing resource. Electrical engineering. Electronics. Nuclear engineering Mechanical engineering and machinery In Journal of Research in Engineering and Applied Sciences Yeshwantrao Chavan College of Engineering, India, 2020 3(2018), 2, Seite 48-51 (DE-627)1760593214 24566403 nnns volume:3 year:2018 number:2 pages:48-51 https://doi.org/10.46565/jreas.2018.v03i02.002 kostenfrei https://doaj.org/article/72c20caa3b3e45a5b278f832cfe18d8f kostenfrei http://www.mgijournal.com/Data/Issues_AdminPdf/115/2-Volume%203%20Issue%202%20%20April%202018.pdf kostenfrei https://doaj.org/toc/2456-6403 Journal toc kostenfrei https://doaj.org/toc/2456-6403 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ AR 3 2018 2 48-51 |
language |
English |
source |
In Journal of Research in Engineering and Applied Sciences 3(2018), 2, Seite 48-51 volume:3 year:2018 number:2 pages:48-51 |
sourceStr |
In Journal of Research in Engineering and Applied Sciences 3(2018), 2, Seite 48-51 volume:3 year:2018 number:2 pages:48-51 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
self-adaptation markov chain computing resource. Electrical engineering. Electronics. Nuclear engineering Mechanical engineering and machinery |
isfreeaccess_bool |
true |
container_title |
Journal of Research in Engineering and Applied Sciences |
authorswithroles_txt_mv |
Hua Wang @@aut@@ |
publishDateDaySort_date |
2018-01-01T00:00:00Z |
hierarchy_top_id |
1760593214 |
id |
DOAJ04591611X |
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">DOAJ04591611X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230308100844.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230227s2018 xx |||||o 00| ||eng c</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ04591611X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ72c20caa3b3e45a5b278f832cfe18d8f</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="050" ind1=" " ind2="0"><subfield code="a">TK1-9971</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">TJ1-1570</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Hua Wang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">TOWARDSRUNTIMESELF-ADAPTIVEMODELBASED-ONCOMPUTINGRESOURCE</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2018</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">Computing systems can be changed adaptively according to business object specified by administrators to adapt to the impact of dynamic factors during the software evolution. The computing resource, which is the inner driving power of self-adaptive software, is selected as cutting point of the research. The paper analysed the effect on the self-adaptability of computing resource at runtime. The self-adaptive model at runtime was presented based on computing resource. XMLtechnology was employed to describe the context environment at runtime and Markov Chain was used to model the system behaviour. The component code was optimized by the self-adaptive optimizing engine. We show how such an approach can be woven into a health evaluation system and demonstrate the benefits of the proposed approach.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">self-adaptation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">markov chain</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">computing resource.</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Electrical engineering. Electronics. Nuclear engineering</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Mechanical engineering and machinery</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Journal of Research in Engineering and Applied Sciences</subfield><subfield code="d">Yeshwantrao Chavan College of Engineering, India, 2020</subfield><subfield code="g">3(2018), 2, Seite 48-51</subfield><subfield code="w">(DE-627)1760593214</subfield><subfield code="x">24566403</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:3</subfield><subfield code="g">year:2018</subfield><subfield code="g">number:2</subfield><subfield code="g">pages:48-51</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.46565/jreas.2018.v03i02.002</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/72c20caa3b3e45a5b278f832cfe18d8f</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.mgijournal.com/Data/Issues_AdminPdf/115/2-Volume%203%20Issue%202%20%20April%202018.pdf</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2456-6403</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2456-6403</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">3</subfield><subfield code="j">2018</subfield><subfield code="e">2</subfield><subfield code="h">48-51</subfield></datafield></record></collection>
|
callnumber-first |
T - Technology |
author |
Hua Wang |
spellingShingle |
Hua Wang misc TK1-9971 misc TJ1-1570 misc self-adaptation misc markov chain misc computing resource. misc Electrical engineering. Electronics. Nuclear engineering misc Mechanical engineering and machinery TOWARDSRUNTIMESELF-ADAPTIVEMODELBASED-ONCOMPUTINGRESOURCE |
authorStr |
Hua Wang |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)1760593214 |
format |
electronic Article |
delete_txt_mv |
keep |
author_role |
aut |
collection |
DOAJ |
remote_str |
true |
callnumber-label |
TK1-9971 |
illustrated |
Not Illustrated |
issn |
24566403 |
topic_title |
TK1-9971 TJ1-1570 TOWARDSRUNTIMESELF-ADAPTIVEMODELBASED-ONCOMPUTINGRESOURCE self-adaptation markov chain computing resource |
topic |
misc TK1-9971 misc TJ1-1570 misc self-adaptation misc markov chain misc computing resource. misc Electrical engineering. Electronics. Nuclear engineering misc Mechanical engineering and machinery |
topic_unstemmed |
misc TK1-9971 misc TJ1-1570 misc self-adaptation misc markov chain misc computing resource. misc Electrical engineering. Electronics. Nuclear engineering misc Mechanical engineering and machinery |
topic_browse |
misc TK1-9971 misc TJ1-1570 misc self-adaptation misc markov chain misc computing resource. misc Electrical engineering. Electronics. Nuclear engineering misc Mechanical engineering and machinery |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
cr |
hierarchy_parent_title |
Journal of Research in Engineering and Applied Sciences |
hierarchy_parent_id |
1760593214 |
hierarchy_top_title |
Journal of Research in Engineering and Applied Sciences |
isfreeaccess_txt |
true |
familylinks_str_mv |
(DE-627)1760593214 |
title |
TOWARDSRUNTIMESELF-ADAPTIVEMODELBASED-ONCOMPUTINGRESOURCE |
ctrlnum |
(DE-627)DOAJ04591611X (DE-599)DOAJ72c20caa3b3e45a5b278f832cfe18d8f |
title_full |
TOWARDSRUNTIMESELF-ADAPTIVEMODELBASED-ONCOMPUTINGRESOURCE |
author_sort |
Hua Wang |
journal |
Journal of Research in Engineering and Applied Sciences |
journalStr |
Journal of Research in Engineering and Applied Sciences |
callnumber-first-code |
T |
lang_code |
eng |
isOA_bool |
true |
recordtype |
marc |
publishDateSort |
2018 |
contenttype_str_mv |
txt |
container_start_page |
48 |
author_browse |
Hua Wang |
container_volume |
3 |
class |
TK1-9971 TJ1-1570 |
format_se |
Elektronische Aufsätze |
author-letter |
Hua Wang |
title_sort |
towardsruntimeself-adaptivemodelbased-oncomputingresource |
callnumber |
TK1-9971 |
title_auth |
TOWARDSRUNTIMESELF-ADAPTIVEMODELBASED-ONCOMPUTINGRESOURCE |
abstract |
Computing systems can be changed adaptively according to business object specified by administrators to adapt to the impact of dynamic factors during the software evolution. The computing resource, which is the inner driving power of self-adaptive software, is selected as cutting point of the research. The paper analysed the effect on the self-adaptability of computing resource at runtime. The self-adaptive model at runtime was presented based on computing resource. XMLtechnology was employed to describe the context environment at runtime and Markov Chain was used to model the system behaviour. The component code was optimized by the self-adaptive optimizing engine. We show how such an approach can be woven into a health evaluation system and demonstrate the benefits of the proposed approach. |
abstractGer |
Computing systems can be changed adaptively according to business object specified by administrators to adapt to the impact of dynamic factors during the software evolution. The computing resource, which is the inner driving power of self-adaptive software, is selected as cutting point of the research. The paper analysed the effect on the self-adaptability of computing resource at runtime. The self-adaptive model at runtime was presented based on computing resource. XMLtechnology was employed to describe the context environment at runtime and Markov Chain was used to model the system behaviour. The component code was optimized by the self-adaptive optimizing engine. We show how such an approach can be woven into a health evaluation system and demonstrate the benefits of the proposed approach. |
abstract_unstemmed |
Computing systems can be changed adaptively according to business object specified by administrators to adapt to the impact of dynamic factors during the software evolution. The computing resource, which is the inner driving power of self-adaptive software, is selected as cutting point of the research. The paper analysed the effect on the self-adaptability of computing resource at runtime. The self-adaptive model at runtime was presented based on computing resource. XMLtechnology was employed to describe the context environment at runtime and Markov Chain was used to model the system behaviour. The component code was optimized by the self-adaptive optimizing engine. We show how such an approach can be woven into a health evaluation system and demonstrate the benefits of the proposed approach. |
collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ |
container_issue |
2 |
title_short |
TOWARDSRUNTIMESELF-ADAPTIVEMODELBASED-ONCOMPUTINGRESOURCE |
url |
https://doi.org/10.46565/jreas.2018.v03i02.002 https://doaj.org/article/72c20caa3b3e45a5b278f832cfe18d8f http://www.mgijournal.com/Data/Issues_AdminPdf/115/2-Volume%203%20Issue%202%20%20April%202018.pdf https://doaj.org/toc/2456-6403 |
remote_bool |
true |
ppnlink |
1760593214 |
callnumber-subject |
TK - Electrical and Nuclear Engineering |
mediatype_str_mv |
c |
isOA_txt |
true |
hochschulschrift_bool |
false |
callnumber-a |
TK1-9971 |
up_date |
2024-07-03T17:47:02.075Z |
_version_ |
1803580942140309504 |
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">DOAJ04591611X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230308100844.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230227s2018 xx |||||o 00| ||eng c</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ04591611X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ72c20caa3b3e45a5b278f832cfe18d8f</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="050" ind1=" " ind2="0"><subfield code="a">TK1-9971</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">TJ1-1570</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Hua Wang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">TOWARDSRUNTIMESELF-ADAPTIVEMODELBASED-ONCOMPUTINGRESOURCE</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2018</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">Computing systems can be changed adaptively according to business object specified by administrators to adapt to the impact of dynamic factors during the software evolution. The computing resource, which is the inner driving power of self-adaptive software, is selected as cutting point of the research. The paper analysed the effect on the self-adaptability of computing resource at runtime. The self-adaptive model at runtime was presented based on computing resource. XMLtechnology was employed to describe the context environment at runtime and Markov Chain was used to model the system behaviour. The component code was optimized by the self-adaptive optimizing engine. We show how such an approach can be woven into a health evaluation system and demonstrate the benefits of the proposed approach.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">self-adaptation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">markov chain</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">computing resource.</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Electrical engineering. Electronics. Nuclear engineering</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Mechanical engineering and machinery</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Journal of Research in Engineering and Applied Sciences</subfield><subfield code="d">Yeshwantrao Chavan College of Engineering, India, 2020</subfield><subfield code="g">3(2018), 2, Seite 48-51</subfield><subfield code="w">(DE-627)1760593214</subfield><subfield code="x">24566403</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:3</subfield><subfield code="g">year:2018</subfield><subfield code="g">number:2</subfield><subfield code="g">pages:48-51</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.46565/jreas.2018.v03i02.002</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/72c20caa3b3e45a5b278f832cfe18d8f</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.mgijournal.com/Data/Issues_AdminPdf/115/2-Volume%203%20Issue%202%20%20April%202018.pdf</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2456-6403</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2456-6403</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">3</subfield><subfield code="j">2018</subfield><subfield code="e">2</subfield><subfield code="h">48-51</subfield></datafield></record></collection>
|
score |
7.400075 |