{"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\/da\/blog\/administrirovanie\/roboty-v-data-tsentre-chem-mozhet-byt-polezen-iskusstvennyj-intellekt","title":{"rendered":"\ud83e\udd47I Chrome 76 vil Google deaktivere Flash, men ikke helt endnu | ProHoster","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Under den digitale transformation af \u00f8konomien st\u00e5r menneskeheden over for at skulle bygge flere datacentre. Selve datacentrene skal ogs\u00e5 transformeres: sp\u00f8rgsm\u00e5l om deres driftsikkerhed og energieffektivitet er vigtigere end nogensinde. Anl\u00e6gdene forbruger enorme m\u00e6ngder elektricitet, og nedbrud af den kritisk vigtige IT-infrastruktur, der er placeret i dem, koster virksomheden dyrt. Kunstig intelligens og maskinl\u00e6ringsteknologier kommer ingeni\u00f8rer til hj\u00e6lp \u2014 i de seneste \u00e5r er de blevet brugt oftere til at skabe mere avancerede datacentre. Denne tilgang \u00f8ger anl\u00e6ggenes beredskab, reducerer antallet af nedbrud og s\u00e6nker driftsomkostningerne.<\/p>\n<p>\n<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<h2>Hvordan fungerer det?<\/h2>\n<p><\/p>\n<p>Teknologierne for kunstig intelligens og maskinl\u00e6ring bruges til at automatisere beslutningstagning baseret p\u00e5 data indsamlet fra forskellige sensorer. S\u00e5danne v\u00e6rkt\u00f8jer integreres typisk med DCIM-systemer (Data Center Infrastructure Management) og muligg\u00f8r forudsigelse af akutte situationer samt optimering af IT-udstyr, ingeni\u00f8rinfrastruktur og endda servicepersonale. Meget ofte tilbyder producenterne ejere af datacentre cloudtjenester, der opsamler og behandler data fra mange kunder. Disse systemer generaliserer erfaringerne fra driften af forskellige datacentre og derfor fungerer bedre end lokale produkter.<\/p>\n<p><\/p>\n<h2>Styring af IT-infrastruktur<\/h2>\n<p><\/p>\n<p>HPE promoverer en cloudtjeneste til pr\u00e6diktiv analyse <noindex><a rel=\"nofollow\" href=\"https:\/\/www.hpe.com\/ru\/ru\/storage\/infosight.html\">InfoSight<\/a><\/noindex> til at styre it-infrastrukturen, der er bygget p\u00e5 lagringssystemerne Nimble Storage og HPE 3PAR StoreServ, HPE ProLiant DL\/ML\/BL-servere, HPE Apollo-racksystemer og HPE Synergy-platformen. InfoSight analyserer m\u00e5lingerne fra de installerede sensorer i udstyret, behandler over en million begivenheder per sekund og l\u00e6rer konstant af sig selv. Tjenesten identificerer ikke kun fejl, men forudser ogs\u00e5 mulige problemer med it-infrastrukturen (hardwarefejl, udt\u00f8mning af lagerkapacitet, forringelse af ydeevnen for virtuelle maskiner osv.) inden de opst\u00e5r. Til forudsigende analyse i skyen er der implementeret software fra firmaet VoltDB, som bruger autoregressionsmodeller til forudsigelse og probabilistiske metoder. En lignende l\u00f8sning er ogs\u00e5 tilg\u00e6ngelig for hybride datalagringssystemer fra Tegile Systems: sky-tjenesten IntelliCare Cloud Analytics overv\u00e5ger tilstand, ydeevne og ressourceforbrug af enhederne. Dell EMC anvender ogs\u00e5 kunstig intelligens og maskinl\u00e6ring i sine l\u00f8sninger til h\u00f8jtydende computing. Der findes mange s\u00e5danne eksempler, og n\u00e6sten alle f\u00f8rende producenter af computerudstyr og lagringssystemer f\u00f8lger i denne retning.<\/p>\n<p><\/p>\n<h2>Str\u00f8mforsyning og k\u00f8ling<\/h2>\n<p><\/p>\n<p>Et andet anvendelsesomr\u00e5de for AI i datacentre er styringen af ingeni\u00f8rinfrastrukturen, prim\u00e6rt omkring k\u00f8ling, hvilket kan udg\u00f8re over 30 % af det samlede energiforbrug for anl\u00e6gget. En af de f\u00f8rste til at t\u00e6nke p\u00e5 intelligent k\u00f8ling var Google: I 2016 udviklede de sammen med DeepMind <noindex><a rel=\"nofollow\" href=\"https:\/\/deepmind.com\/blog\/deepmind-ai-reduces-google-data-centre-cooling-bill-40\/\">et kunstig intelligenssystem<\/a><\/noindex> til overv\u00e5gning af enkelte komponenter i datacenteret, hvilket har reduceret energiforbruget til klimaanl\u00e6g med 40 %. Oprindeligt gav den kun tips til personalet, men er siden blevet opgraderet og kan nu styre k\u00f8lingen i maskinrummene selv. En skybaseret neural netv\u00e6rk behandler data fra tusindvis af interne og eksterne sensorer: den tr\u00e6ffer beslutninger baseret p\u00e5 serverbelastning, temperatur, samt vindhastighed udenfor og en r\u00e6kke andre parametre. Instruktionerne fra det skybaserede system sendes til datacenteret og kontrolleres igen for sikkerhed af lokale systemer, samtidig med at personalet altid kan deaktivere automatisk tilstand og begynde at styre k\u00f8lingen manuelt. Nlyte Software har skabt <noindex><a rel=\"nofollow\" href=\"https:\/\/www.datacenterknowledge.com\/machine-learning\/ibm-watson-crunch-nlyte-dcim-data-optimize-data-center-operations\">l\u00f8sning<\/a><\/noindex>, som indsamler data om temperatur og fugtighed, energiforbrug og belastning af it-udstyr. Det g\u00f8r det muligt at optimere driften af ingeni\u00f8rsystemer og kr\u00e6ver ikke tilslutning til producentens skyinfrastruktur \u2014 om n\u00f8dvendigt kan l\u00f8sningen implementeres direkte i datacenteret. <\/p>\n<p><\/p>\n<h2>Andre eksempler<\/h2>\n<p><\/p>\n<p>Der er mange innovative smarte l\u00f8sninger til datacentre p\u00e5 markedet, og nye bliver hele tiden introduceret. Virksomheden Wave2Wave har skabt et robotisk system til skift af fiberoptiske kabler til automatiseret organisering af krydsforbindelser i trafikudvekslingssteder (Meet Me Room) inde i datacenteret. Det system, der er udviklet af ROOT Data Center og LitBit, bruger kunstig intelligens til overv\u00e5gning af n\u00f8dstr\u00f8msgeneratorer, mens Romonet har udviklet en selv-l\u00e6rende softwarel\u00f8sning til optimering af infrastrukturen. Vigilent har skabt l\u00f8sninger, der anvender maskinl\u00e6ring til at forudsige fejl og optimere temperaturforholdene i datacenteret. Implementeringen af kunstig intelligens, maskinl\u00e6ring og andre innovative teknologier i datacentre til automatisering af processer er relativt ny, men i dag er det en af de mest lovende udviklingsretninger i branchen. Moderne datacentre er blevet for store og komplekse til effektiv manuel administration.<\/p>\n<p>Kilde: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/delta\/blog\/450738\/\">habr.com<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u0412 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u0435 \u0446\u0438\u0444\u0440\u043e\u0432\u043e\u0439 \u0442\u0440\u0430\u043d\u0441\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438 \u044d\u043a\u043e\u043d\u043e\u043c\u0438\u043a\u0438 \u0447\u0435\u043b\u043e\u0432\u0435\u0447\u0435\u0441\u0442\u0432\u0443 \u043f\u0440\u0438\u0445\u043e\u0434\u0438\u0442\u0441\u044f \u0441\u0442\u0440\u043e\u0438\u0442\u044c \u0432\u0441\u0435 \u0431\u043e\u043b\u044c\u0448\u0435 \u0446\u0435\u043d\u0442\u0440\u043e\u0432 \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0438 \u0434\u0430\u043d\u043d\u044b\u0445. \u0421\u0430\u043c\u0438 \u0426\u041e\u0414\u044b 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\u0432 \u043d\u0438\u0445 \u043a\u0440\u0438\u0442\u0438\u0447\u0435\u0441\u043a\u0438 \u0432\u0430\u0436\u043d\u043e\u0439 \u0418\u0422-\u0438\u043d\u0444\u0440\u0430\u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u044b \u043e\u0431\u0445\u043e\u0434\u044f\u0442\u0441\u044f \u0431\u0438\u0437\u043d\u0435\u0441\u0443 \u043d\u0435\u0434\u0435\u0448\u0435\u0432\u043e. \u041d\u0430 \u043f\u043e\u043c\u043e\u0449\u044c \u0438\u043d\u0436\u0435\u043d\u0435\u0440\u0430\u043c \u043f\u0440\u0438\u0445\u043e\u0434\u044f\u0442 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u0438 \u0438\u0441\u043a\u0443\u0441\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0433\u043e \u0438\u043d\u0442\u0435\u043b\u043b\u0435\u043a\u0442\u0430 \u0438 \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u2014 \u0432 [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[688],"tags":[],"class_list":["post-33095","post","type-post","status-publish","format-standard","hentry","category-administrirovanie"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.3 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u0412 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u0435 \u0446\u0438\u0444\u0440\u043e\u0432\u043e\u0439 \u0442\u0440\u0430\u043d\u0441\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u0438 \u044d\u043a\u043e\u043d\u043e\u043c\u0438\u043a\u0438 \u0447\u0435\u043b\u043e\u0432\u0435\u0447\u0435\u0441\u0442\u0432\u0443 \u043f\u0440\u0438\u0445\u043e\u0434\u0438\u0442\u0441\u044f \u0441\u0442\u0440\u043e\u0438\u0442\u044c \u0432\u0441\u0435 \u0431\u043e\u043b\u044c\u0448\u0435 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