{"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\/et\/blog\/administrirovanie\/roboty-v-data-tsentre-chem-mozhet-byt-polezen-iskusstvennyj-intellekt","title":{"rendered":"Robotid andmekeskuses: kuidas AI v\u00f5ib kasulik olla?","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Digitaalsete transformatsioonide k\u00e4igus peab inimkond ehitama \u00fcha rohkem andmekeskusi. Samuti peavad andmekeskused transformeeruma: nende t\u00f6\u00f6kindluse ja energiat\u00f5hususe k\u00fcsimused on n\u00fc\u00fcd t\u00e4htsamad kui kunagi varem. Objekti tarbimine on tohutu, ja v\u00e4henenud kriitilise IT-infrastruktuuri katkestuste kohta makstavad kulud on \u00e4ridele suured. Inseneride abiks tulevad tehisintellekti ja masin\u00f5ppe tehnoloogiad \u2014 viimastel aastatel on neid \u00fcha enam kasutatud t\u00f5husamate andmekeskuste loomisel. Selline l\u00e4henemine suurendab objektide valmisolekut, v\u00e4hendab katkestuste arvu ja alandab k\u00e4ituskulusid.<\/p>\n

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

Kuidas see t\u00f6\u00f6tab?<\/h2>\n

<\/p>\n

Tehisintellekti ja masin\u00f5ppe tehnoloogiaid kasutatakse operatiivsete otsuste automaatseks tegemiseks, tuginedes erinevatest anduritelt kogutud andmetele. Reeglina integreeritakse sellised abin\u00f5ud DCIM-s\u00fcsteemidega (Data Center Infrastructure Management) ja need v\u00f5imaldavad prognoosida v\u00e4ljap\u00e4\u00e4suteenuste olukordi ning optimeerida IT-seadmestiku, inseneri-infrastruktuuri ja isegi teenindava personali t\u00f6\u00f6d. V\u00e4ga tihti pakuvad tootjad andmekeskuste omanikele pilveteenuseid, mis koguvad ja t\u00f6\u00f6tlevad paljude klientide andmeid. Sellised s\u00fcsteemid kokkuv\u00f5tavad erinevate andmekeskuste kasutuskogemust, seet\u00f5ttu t\u00f6\u00f6tavad need paremini kui kohalikud tooted.<\/p>\n

<\/p>\n

IT-infrastruktuuri haldamine<\/h2>\n

<\/p>\n

HPE edendab ennustusanal\u00fc\u00fcsi pilveteenust InfoSight<\/a><\/noindex> IT-infrastruktuuri haldamiseks, mis on rajatud Nimble Storage ja HPE 3PAR StoreServ salvestuss\u00fcsteemidele, HPE ProLiant DL\/ML\/BL serveritele, HPE Apollo riiulip\u00f5histele s\u00fcsteemidele ja HPE Synergy platvormile. InfoSight anal\u00fc\u00fcsib seadmetes installitud andurite n\u00e4ite, t\u00f6\u00f6tledes rohkem kui miljon s\u00fcndmust sekundis ja pidevalt eneset\u00e4iendades. Teenus mitte ainult ei tuvastada rikkeid, vaid ka prognoosib v\u00f5imalikke probleeme IT-infrastruktuuris (seadmete rikked, salvestusruumi ammendumine, virtuaalmasinate j\u00f5udluse langus jne) veel enne nende tekkimist. Etteennustava anal\u00fc\u00fctika jaoks on pilves rakendatud ettev\u00f5tte VoltDB tarkvara, mis kasutab autoregressioonimudeleid ja t\u00f5en\u00e4osusmudeleid. Sarnased lahendused on saadaval ka Tegile Systems'i h\u00fcbriidsete andmesalvestuss\u00fcsteemide jaoks: pilveteenus IntelliCare Cloud Analytics j\u00e4lgib seadmete seisukorda, j\u00f5udlust ja ressursside kasutamist. Dell EMC kasutab ka tehisintellekti ja masin\u00f5ppe tehnoloogiad oma v\u00e4lja t\u00f6\u00f6tatud suure j\u00f5udlusega arvutuste lahendustes. Selliseid n\u00e4iteid on palju, ning praegu j\u00e4rgivad seda teed praktiliselt k\u00f5ik juhtivad arvutitehnika ja andmesalvestuss\u00fcsteemide tootjad.<\/p>\n

<\/p>\n

Energiavarustus ja jahutus<\/h2>\n

<\/p>\n

Teine tehisintellekti rakendus andmekeskustes on seotud inseneri infrastruktuuri haldamisega, eelk\u00f5ige jahutusega, mille osakaal objekti kogutarbimises v\u00f5ib \u00fcletada 30%. \u00dcks esimesi, kes m\u00f5tles nutikale jahutusele, oli Google'i korporatsioon: 2016. aastal arendas see koos ettev\u00f5ttega DeepMind v\u00e4lja tehisintellekti s\u00fcsteemi<\/a><\/noindex> andmete j\u00e4lgimiseks eraldiseisvate andmekeskuse komponente, mis v\u00f5imaldas energias\u00f5ltuvusi jahutuse v\u00e4hendamine 40%. Alguses andis see ainult n\u00e4pun\u00e4iteid personalile, kuid hiljem t\u00f5hustati seda ning n\u00fc\u00fcd suudab see ise hallata masinahallide jahutust. Pilves paiknev tehisintellekt t\u00f6\u00f6tleb andmeid tuhandelt sise- ja v\u00e4lisdetsensorilt: see teeb otsuseid, arvestades serverite koormust, temperatuuri ja ka v\u00e4ljas olevat tuulekiirus ning paljusid teisi parameetreid. Pilveteenuse pakkuja antud juhised saadetakse andmekeskusesse ja seal kontrollitakse neid veel kord kohalike s\u00fcsteemide poolt turvalisuse tagamiseks, samas kui personal saab alati automaatre\u017eiimi v\u00e4lja l\u00fclitada ja alustada jahutuse k\u00e4sitsi juhtimist. Nlyte Software koost\u00f6\u00f6s IBM Watson meeskonnaga l\u00f5i otsuse<\/a><\/noindex>, mis kogub andmeid temperatuuri ja niiskuse, energiatarbimise ja IT-seadmete koormuse kohta. See v\u00f5imaldab optimeerida inseneritehniliste aluste t\u00f6\u00f6d ja ei n\u00f5ua tootja pilve infrastruktuuri \u00fchendamist \u2014 vajadusel saab lahenduse paigaldada otse andmekeskusesse. <\/p>\n

<\/p>\n

Teised n\u00e4ited<\/h2>\n

<\/p>\n

Innovatiivseid nutikaid lahendusi andmekeskustele on turul palju ja uusi tekib pidevalt. Firma Wave2Wave l\u00f5i automatiseeritud disainitud kiudoptiliste kaablite \u00fchenduse s\u00fcsteemi robootika jaoks, et automatiseerida ristside paigutusi liikluse vahetuspunktides (Meet Me Room) andmekeskuse sees. ROOT Data Centeri ja LitBit'i arendatud s\u00fcsteem kasutab tehisintellekti varu generaatorite j\u00e4lgimiseks, samas kui Romonet on loonud ise\u00f5ppiva tarkvara lahenduse infrastruktuuri optimeerimiseks. Vigilent'i loodud lahendused kasutavad masin\u00f5pet, et prognoosida rikkeid ja optimeerida temperatuuri tingimusi andmekeskuse ruumides. Tehisintellekti, masin\u00f5ppe ja muude innovaatiliste tehnoloogiate rakendamine andmekeskustes automatiseerimisprotsesside jaoks on alguse saanud suhteliselt hiljuti, kuid t\u00e4na on see \u00fcks k\u00f5ige perspektiivikamaid suundi t\u00f6\u00f6stuse arengus. Kaasaegsed andmekeskused on saanud liiga suurteks ja keerukateks, et neid t\u00f5husalt k\u00e4sitsi juhtida.<\/p>\n

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

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