{"id":33095,"date":"2019-10-31T21:50:42","date_gmt":"2019-10-31T18:50:42","guid":{"rendered":"https:\/\/prohoster.info\/blog\/roboty-v-data-tsentre-chem-mozhet-byt-polezen-iskusstvennyj-intellekt\/"},"modified":"2019-10-31T21:50:42","modified_gmt":"2019-10-31T18:50:42","slug":"roboty-v-data-tsentre-chem-mozhet-byt-polezen-iskusstvennyj-intellekt","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sq\/blog\/administrirovanie\/roboty-v-data-tsentre-chem-mozhet-byt-polezen-iskusstvennyj-intellekt","title":{"rendered":"Robot\u00ebt n\u00eb qendrat e t\u00eb dh\u00ebnave: si mund t\u00eb jet\u00eb i dobish\u00ebm inteligjenca artificiale?","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

N\u00eb procesin e transformimit digjital t\u00eb ekonomis\u00eb, njer\u00ebzimi po nd\u00ebrtan gjithnj\u00eb e m\u00eb shum\u00eb qendra t\u00eb dh\u00ebnash. Qendrat e dh\u00ebnash gjithashtu duhet t\u00eb transformohen: \u00e7\u00ebshtjet e q\u00ebndrueshm\u00ebris\u00eb dhe efikasitetit energjetik jan\u00eb m\u00eb t\u00eb r\u00ebnd\u00ebsishme se kurr\u00eb. K\u00ebto objekte konsumojn\u00eb nj\u00eb sasi t\u00eb madhe energjie, dhe d\u00ebshtimet e infrastruktur\u00ebs IT t\u00eb vendosur n\u00eb to kan\u00eb kosto t\u00eb larta p\u00ebr bizneset. Teknologjit\u00eb e inteligjenc\u00ebs artificiale dhe t\u00eb m\u00ebsimit t\u00eb makinerive po vijn\u00eb n\u00eb ndihm\u00eb inxhinier\u00ebve \u2013 vitet e fundit, ato po p\u00ebrdoren gjithnj\u00eb e m\u00eb shum\u00eb p\u00ebr t\u00eb krijuar qendra t\u00eb dh\u00ebnash m\u00eb t\u00eb avancuara. Ky qasje rrit nivelet e gatishm\u00ebris\u00eb s\u00eb objekteve, zvog\u00eblon numrin e d\u00ebshtimeve dhe ul kostot operacionale.<\/p>\n

\n<\/a><\/noindex><\/p>\n

Si funksionon?<\/h2>\n

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Teknologjit\u00eb e inteligjenc\u00ebs artificiale dhe t\u00eb m\u00ebsimit t\u00eb makinerive p\u00ebrdoren p\u00ebr automatizimin e marrjes s\u00eb vendimeve operacionale n\u00eb baz\u00eb t\u00eb t\u00eb dh\u00ebnave q\u00eb mblidhen nga sensor\u00ebt e ndrysh\u00ebm. Zakonisht, k\u00ebto mjete integrohen me sistemet e klas\u00ebs DCIM (Menaxhimi i Infrastruktur\u00ebs s\u00eb Qendrave t\u00eb Dh\u00ebnash) dhe lejojn\u00eb parashikimin e ndodhjes s\u00eb situatave emergjente, si dhe optimizimin e funksionimit t\u00eb pajisjeve IT, infrastruktur\u00ebs inxhinierike dhe madje t\u00eb stafit mb\u00ebshtet\u00ebs. Shpesh, prodhuesit ofrojn\u00eb sh\u00ebrbime t\u00eb reja n\u00eb cloud q\u00eb grumbullojn\u00eb dhe trajtojn\u00eb t\u00eb dh\u00ebnat e shum\u00eb klient\u00ebve. K\u00ebto sisteme p\u00ebrmbledhin p\u00ebrvoj\u00ebn e operimit t\u00eb qendrave t\u00eb ndryshme t\u00eb dh\u00ebnash, duke e b\u00ebr\u00eb k\u00ebshtu funksionimin e tyre m\u00eb efikas se produktet lokale.<\/p>\n

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Menaxhimi i Infrastruktur\u00ebs IT<\/h2>\n

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Kompania HPE promovon sh\u00ebrbimin cloud t\u00eb analiz\u00ebs parashikuese InfoSight<\/a><\/noindex> p\u00ebr menaxhimin e infrastruktur\u00ebs IT, e nd\u00ebrtuar mbi sistemet e ruajtjes Nimble Storage dhe HPE 3PAR StoreServ, server\u00ebt HPE ProLiant DL\/ML\/BL, sistemet e raftit HPE Apollo dhe platform\u00ebn HPE Synergy. InfoSight analizon t\u00eb dh\u00ebnat e sensor\u00ebve t\u00eb vendosur n\u00eb pajisje, duke p\u00ebrpunuar mbi nj\u00eb milion ngjarje n\u00eb sekond\u00eb dhe duke m\u00ebsuar vazhdimisht. Sh\u00ebrbimi jo vet\u00ebm q\u00eb identifikon defektet, por gjithashtu parashikon t\u00eb mundshmet probleme me infrastruktur\u00ebn IT (d\u00ebshtimi i pajisjeve, mbushja e kapacitetit t\u00eb ruajtjes, ulja e performanc\u00ebs s\u00eb makinave virtuale etj.) para se ato t\u00eb ndodhin. P\u00ebr analizat parashikuese n\u00eb cloud, \u00ebsht\u00eb zhvilluar softueri i kompanis\u00eb VoltDB, q\u00eb p\u00ebrdor modele autorregresive dhe metoda probabilistike. Nj\u00eb zgjidhje e till\u00eb \u00ebsht\u00eb e disponueshme edhe p\u00ebr sistemet hibride t\u00eb ruajtjes s\u00eb t\u00eb dh\u00ebnave t\u00eb kompanis\u00eb Tegile Systems: sh\u00ebrbimi cloud IntelliCare Cloud Analytics monitoron gjendjen, performanc\u00ebn dhe p\u00ebrdorimin e burimeve t\u00eb pajisjeve. Teknologjit\u00eb e inteligjenc\u00ebs artificiale dhe t\u00eb m\u00ebsimit t\u00eb makinerive p\u00ebrdoren gjithashtu nga Dell EMC n\u00eb zgjidhjet e tyre p\u00ebr llogaritjet me performanc\u00eb t\u00eb lart\u00eb. Ka shum\u00eb shembuj t\u00eb till\u00eb, dhe shum\u00eb prej prodhuesve kryesor\u00eb t\u00eb pajisjeve kompjuterike dhe sistemeve t\u00eb ruajtjes s\u00eb t\u00eb dh\u00ebnave po e ndjekin k\u00ebt\u00eb rrug\u00eb.<\/p>\n

<\/p>\n

Furnizimi me energji dhe ftohja<\/h2>\n

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Nj\u00eb tjet\u00ebr fush\u00eb p\u00ebrdorimi e AI n\u00eb qendrat e dh\u00ebnave lidhet me menaxhimin e infrastruktur\u00ebs inxhinierike dhe sidomos me ftohjen, pjesa e s\u00eb cil\u00ebs n\u00eb konsumimin e p\u00ebrgjithsh\u00ebm t\u00eb energjis\u00eb t\u00eb objektit mund t\u00eb kaloj\u00eb 30%. Nj\u00eb nga t\u00eb parat q\u00eb mendoi p\u00ebr ftohjen inteligjente ishte korporata Google: n\u00eb vitin 2016, ajo zhvilloi n\u00eb bashk\u00ebpunim me kompanin\u00eb DeepMind nj\u00eb sistem t\u00eb inteligjenc\u00ebs artificiale<\/a><\/noindex> p\u00ebr monitorimin e komponent\u00ebve t\u00eb ve\u00e7ant\u00eb t\u00eb qendrave t\u00eb dh\u00ebnash, q\u00eb leht\u00ebsoi nj\u00eb reduktim prej 40% n\u00eb kostot energjetike p\u00ebr klimatizimin. Fillimisht, ky sistem ofronte vet\u00ebm sugjerime p\u00ebr stafin, por m\u00eb von\u00eb u p\u00ebrmir\u00ebsua dhe tani mund t\u00eb menaxhoj\u00eb ftohjen e dhomave t\u00eb server\u00ebve n\u00eb m\u00ebnyr\u00eb autonome. Nj\u00eb rrjet neural i vendosur n\u00eb cloud p\u00ebrpunon t\u00eb dh\u00ebnat nga mij\u00ebra sensor\u00eb t\u00eb brendsh\u00ebm dhe t\u00eb jasht\u00ebm: ai merr vendime duke marr\u00eb parasysh ngarkes\u00ebn n\u00eb server\u00eb, temperatur\u00ebn dhe shpejt\u00ebsin\u00eb e er\u00ebs n\u00eb jasht\u00eb, si dhe shum\u00eb parametra t\u00eb tjer\u00eb. Udh\u00ebzimet q\u00eb ofrohen nga sistemi cloud d\u00ebrgohen n\u00eb qend\u00ebr t\u00eb t\u00eb dh\u00ebnave dhe kontrollohen nga sistemet lokale p\u00ebr siguri, nd\u00ebrsa stafi gjithmon\u00eb mund t\u00eb \u00e7aktivizoj\u00eb modin automatik dhe t\u00eb filloj\u00eb menaxhimin manual t\u00eb ftohjes. Nlyte Software n\u00eb bashk\u00ebpunim me ekipin e IBM Watson krijoi zgjidhje<\/a><\/noindex>, q\u00eb grumbullon t\u00eb dh\u00ebna mbi temperatur\u00ebn dhe lag\u00ebshtin\u00eb, konsumimin e energjis\u00eb dhe ngarkes\u00ebn e pajisjeve IT. Kjo lejon optimizimin e funksionimit t\u00eb n\u00ebn sistemet inxhinierike dhe nuk ka nevoj\u00eb p\u00ebr lidhje me infrastruktur\u00ebn cloud t\u00eb prodhuesit - n\u00ebse \u00ebsht\u00eb e nevojshme, zgjidhja mund t\u00eb vendoset direkt n\u00eb qendr\u00ebn e t\u00eb dh\u00ebnave. <\/p>\n

<\/p>\n

Shembuj t\u00eb tjer\u00eb<\/h2>\n

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Ekzistojn\u00eb shum\u00eb zgjidhje inovative inteligjente p\u00ebr qendrat e t\u00eb dh\u00ebnave n\u00eb treg dhe vazhdimisht po shfaqen t\u00eb reja. Kompania Wave2Wave krijoi nj\u00eb sistem robotik t\u00eb nd\u00ebrlidhjes s\u00eb kabllove fibra optike p\u00ebr organizimin automatizuar t\u00eb lidhjeve t\u00eb kryq\u00ebzuara n\u00eb nj\u00ebsit\u00eb e shk\u00ebmbimit t\u00eb trafikut (Meet Me Room) brenda QDD. Sistemi i zhvilluar nga ROOT Data Center dhe LitBit p\u00ebrdor AI p\u00ebr monitorimin e GYG-ve rezerv\u00eb, nd\u00ebrsa n\u00eb Romonet krijuan nj\u00eb zgjidhje software vet\u00eb-m\u00ebsuese p\u00ebr optimizimin e infrastruktur\u00ebs. Zgjidhjet e krijuara nga Vigilent p\u00ebrdorin m\u00ebsimin e makineris\u00eb p\u00ebr t\u00eb parashikuar d\u00ebshtimet dhe p\u00ebr t\u00eb optimizuar temperaturat n\u00eb ambientet e qendr\u00ebs s\u00eb t\u00eb dh\u00ebnave. Zbatimi i inteligjenc\u00ebs artificiale, m\u00ebsimit t\u00eb makineris\u00eb dhe teknologjive tjera inovative p\u00ebr automatizimin e proceseve n\u00eb qendrat e t\u00eb dh\u00ebnave filloi relativisht koh\u00ebt e fundit, por sot \u00ebsht\u00eb nj\u00eb nga drejtimet m\u00eb premtuese t\u00eb zhvillimit t\u00eb industris\u00eb. QDD-t\u00eb moderne jan\u00eb b\u00ebr\u00eb shum\u00eb t\u00eb m\u00ebdha dhe komplekse p\u00ebr t'u menaxhuar me efektivitet manualisht.<\/p>\n

Burimi: habr.com<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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Qendrat vet\u00eb duhet t\u00eb transformohen: \u00e7\u00ebshtjet e q\u00ebndrueshm\u00ebris\u00eb dhe efikasitetit energjetik tani jan\u00eb m\u00eb t\u00eb r\u00ebnd\u00ebsishme se kurr\u00eb. Ato konsumojn\u00eb nj\u00eb sasi t\u00eb madhe energjie elektrike, dhe d\u00ebshtimet e infrastruktur\u00ebs IT kritik\u00eb q\u00eb ndodhen atje i kushtojn\u00eb biznesit shtrenjt\u00eb. Teknologjit\u00eb e inteligjenc\u00ebs artificiale dhe m\u00ebsimit t\u00eb makineris\u00eb vijn\u00eb n\u00eb ndihm\u00eb inxhinier\u00ebve \u2014 n\u00eb","canonical_url":"https:\/\/prohoster.info\/sq\/blog\/administrirovanie\/roboty-v-data-tsentre-chem-mozhet-byt-polezen-iskusstvennyj-intellekt","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":null,"og:locale":"sq_AL","og:site_name":"ProHoster | \u041a\u0443\u043f\u0438\u0442\u044c \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u0439 \u0445\u043e\u0441\u0442\u0438\u043d\u0433 \u0434\u043b\u044f \u0441\u0430\u0439\u0442\u043e\u0432 \u0441 \u0437\u0430\u0449\u0438\u0442\u043e\u0439 \u043e\u0442 DDoS, VPS VDS \u0441\u0435\u0440\u0432\u0435\u0440\u044b","og:type":"article","og:title":"\ud83e\udd47\u0420\u043e\u0431\u043e\u0442\u044b \u0432 \u0434\u0430\u0442\u0430-\u0446\u0435\u043d\u0442\u0440\u0435: \u0447\u0435\u043c \u043c\u043e\u0436\u0435\u0442 \u0431\u044b\u0442\u044c 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