{"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\/hu\/blog\/administrirovanie\/roboty-v-data-tsentre-chem-mozhet-byt-polezen-iskusstvennyj-intellekt","title":{"rendered":"Robots in the data center: how can artificial intelligence be helpful?","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>A digit\u00e1lis gazdas\u00e1g \u00e1talak\u00edt\u00e1sa sor\u00e1n az emberis\u00e9g egyre t\u00f6bb adatk\u00f6zpontot k\u00e9nytelen \u00e9p\u00edteni. Maguknak az adatk\u00f6zpontoknak is \u00e1talakulniuk kell: az el\u00e9rhet\u0151s\u00e9g \u00e9s az energiahat\u00e9konys\u00e1g k\u00e9rd\u00e9sei soha nem voltak olyan fontosak, mint most. Az ilyen l\u00e9tes\u00edtm\u00e9nyek hatalmas mennyis\u00e9g\u0171 elektromos energi\u00e1t fogyasztanak, m\u00edg a benn\u00fck elhelyezett kritikus IT infrastrukt\u00far\u00e1k meghib\u00e1sod\u00e1sa a v\u00e1llalkoz\u00e1soknak nem olcs\u00f3 mulats\u00e1g. Az m\u00e9rn\u00f6k\u00f6k seg\u00edts\u00e9g\u00e9re sietnek a mesters\u00e9ges intelligencia \u00e9s a g\u00e9pi tanul\u00e1s technol\u00f3gi\u00e1i - az ut\u00f3bbi \u00e9vekben egyre gyakrabban haszn\u00e1lj\u00e1k \u0151ket a modernebb adatk\u00f6zpontok l\u00e9trehoz\u00e1s\u00e1ra. Ez a megk\u00f6zel\u00edt\u00e9s n\u00f6veli a l\u00e9tes\u00edtm\u00e9nyek felk\u00e9sz\u00fclts\u00e9gi szintj\u00e9t, cs\u00f6kkenti a meghib\u00e1sod\u00e1sok sz\u00e1m\u00e1t \u00e9s cs\u00f6kkenti a fenntart\u00e1si k\u00f6lts\u00e9geket.<\/p>\n<p>\n<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<h2>Hogyan m\u0171k\u00f6dik ez?<\/h2>\n<p><\/p>\n<p>A mesters\u00e9ges intelligencia \u00e9s a g\u00e9pi tanul\u00e1s technol\u00f3gi\u00e1it az operat\u00edv d\u00f6nt\u00e9sek automatiz\u00e1l\u00e1s\u00e1ra haszn\u00e1lj\u00e1k, a k\u00fcl\u00f6nb\u00f6z\u0151 \u00e9rz\u00e9kel\u0151kb\u0151l gy\u0171jt\u00f6tt adatok alapj\u00e1n. Ezek az eszk\u00f6z\u00f6k \u00e1ltal\u00e1ban a DCIM (Data Center Infrastructure Management) oszt\u00e1ly\u00fa rendszerekkel integr\u00e1l\u00f3dnak, \u00edgy lehet\u0151v\u00e9 teszik a v\u00e1ratlan helyzetek el\u0151rejelz\u00e9s\u00e9t, valamint az IT berendez\u00e9sek, m\u00e9rn\u00f6ki infrastrukt\u00far\u00e1k \u00e9s ak\u00e1r a karbantart\u00f3 szem\u00e9lyzet munk\u00e1j\u00e1nak optimaliz\u00e1l\u00e1s\u00e1t. Gyakran a gy\u00e1rt\u00f3k felh\u0151alap\u00fa szolg\u00e1ltat\u00e1sokat k\u00edn\u00e1lnak az adatk\u00f6zpontok tulajdonosainak, amelyek sok \u00fcgyf\u00e9l adatainak \u00f6sszegy\u0171jt\u00e9s\u00e9re \u00e9s feldolgoz\u00e1s\u00e1ra szolg\u00e1lnak. Ezek a rendszerek \u00f6sszegzik a k\u00fcl\u00f6nb\u00f6z\u0151 adatk\u00f6zpontok \u00fczemeltet\u00e9si tapasztalatait, ez\u00e9rt jobban m\u0171k\u00f6dnek, mint a helyi term\u00e9kek.<\/p>\n<p><\/p>\n<h2>IT-infrastrukt\u00fara menedzsment<\/h2>\n<p><\/p>\n<p>Az HPE c\u00e9g a predikt\u00edv analitika felh\u0151szolg\u00e1ltat\u00e1s\u00e1t n\u00e9pszer\u0171s\u00edti <noindex><a rel=\"nofollow\" href=\"https:\/\/www.hpe.com\/ru\/ru\/storage\/infosight.html\">InfoSight<\/a><\/noindex> IT-infrastrukt\u00fara kezel\u00e9s\u00e9re, amely a Nimble Storage \u00e9s HPE 3PAR StoreServ t\u00e1rol\u00f3rendszerekre, HPE ProLiant DL\/ML\/BL szerverekre, HPE Apollo \u00e1llv\u00e1nyos rendszerekre \u00e9s az HPE Synergy platformra \u00e9p\u00fcl. Az InfoSight az eszk\u00f6zben telep\u00edtett \u00e9rz\u00e9kel\u0151k m\u00e9r\u00e9seit elemzi, t\u00f6bb mint egymilli\u00f3 esem\u00e9nyt dolgoz fel m\u00e1sodpercenk\u00e9nt, \u00e9s folyamatosan \u00f6nk\u00e9pzi mag\u00e1t. A szolg\u00e1ltat\u00e1s nemcsak a hib\u00e1kat \u00e9szleli, hanem el\u0151re jelzi az IT-infrastrukt\u00far\u00e1val kapcsolatos lehets\u00e9ges probl\u00e9m\u00e1kat (az eszk\u00f6zhib\u00e1kat, a t\u00e1rol\u00f3kapacit\u00e1s kimer\u00fcl\u00e9s\u00e9t, a virtu\u00e1lis g\u00e9pek teljes\u00edtm\u00e9ny\u00e9nek cs\u00f6kken\u00e9s\u00e9t stb.) m\u00e9g azok bek\u00f6vetkez\u00e9se el\u0151tt. Az el\u0151rejelz\u0151 analitika a felh\u0151ben a VoltDB szoftver\u00e9hez van telep\u00edtve, amely autoregressz\u00edv el\u0151rejelz\u00e9si modelleket \u00e9s val\u00f3sz\u00edn\u0171s\u00e9gi m\u00f3dszereket alkalmaz. Hasonl\u00f3 megold\u00e1s el\u00e9rhet\u0151 a Tegile Systems hibrid adatkezel\u0151 rendszerei sz\u00e1m\u00e1ra is: az IntelliCare Cloud Analytics felh\u0151szolg\u00e1ltat\u00e1s v\u00e9gzi az eszk\u00f6z\u00f6k \u00e1llapot\u00e1nak, teljes\u00edtm\u00e9ny\u00e9nek \u00e9s er\u0151forr\u00e1s-haszn\u00e1lat\u00e1nak megfigyel\u00e9s\u00e9t. A mesters\u00e9ges intelligencia \u00e9s g\u00e9pi tanul\u00e1s technol\u00f3gi\u00e1it a Dell EMC is alkalmazza nagy teljes\u00edtm\u00e9ny\u0171 sz\u00e1m\u00edt\u00e1si megold\u00e1saiban. Hasonl\u00f3 p\u00e9ld\u00e1kb\u00f3l sz\u00e1mos tal\u00e1lhat\u00f3, ezen az \u00faton jelenleg szinte minden vezet\u0151 sz\u00e1m\u00edt\u00e1stechnikai \u00e9s t\u00e1rol\u00f3rendszer-gy\u00e1rt\u00f3 elindult.<\/p>\n<p><\/p>\n<h2>Energiaell\u00e1t\u00e1s \u00e9s h\u0171t\u00e9s<\/h2>\n<p><\/p>\n<p>A mesters\u00e9ges intelligencia m\u00e1sik alkalmaz\u00e1si ter\u00fclete a data centerekben a m\u00e9rn\u00f6ki infrastrukt\u00fara kezel\u00e9se, els\u0151sorban a h\u0171t\u00e9s, amelynek ar\u00e1nya a l\u00e9tes\u00edtm\u00e9ny \u00f6sszes energiafogyaszt\u00e1s\u00e1ban meghaladhatja a 30%-ot. Az okos h\u0171t\u00e9sr\u0151l els\u0151k\u00e9nt a Google v\u00e1llalat gondolkodott: 2016-ban a DeepMind c\u00e9ggel k\u00f6z\u00f6sen fejlesztett\u00e9k ki <noindex><a rel=\"nofollow\" href=\"https:\/\/deepmind.com\/blog\/deepmind-ai-reduces-google-data-centre-cooling-bill-40\/\">a mesters\u00e9ges intelligencia rendszer\u00e9t<\/a><\/noindex> adatk\u00f6zpontok egyes komponenseinek megfigyel\u00e9s\u00e9re, amely lehet\u0151v\u00e9 tette az energiafogyaszt\u00e1s 40%-os cs\u00f6kkent\u00e9s\u00e9t a h\u0171t\u00e9s ter\u00e9n. Kezdetben csak javaslatokat tett a szem\u00e9lyzetnek, de k\u00e9s\u0151bb tov\u00e1bbfejlesztett\u00e9k, \u00e9s most m\u00e1r k\u00e9pes \u00f6n\u00e1ll\u00f3an ir\u00e1ny\u00edtani a g\u00e9pi termek h\u0171t\u00e9s\u00e9t. A felh\u0151ben m\u0171k\u00f6d\u0151 neur\u00e1lis h\u00e1l\u00f3zat elemzi az adatokat ezer bels\u0151 \u00e9s k\u00fcls\u0151 \u00e9rz\u00e9kel\u0151t\u0151l: figyelembe veszi a szerverek terhel\u00e9s\u00e9t, a h\u0151m\u00e9rs\u00e9kletet, valamint a k\u00fcls\u0151 sz\u00e9l sebess\u00e9g\u00e9t \u00e9s sok m\u00e1s param\u00e9tert. A felh\u0151rendszer \u00e1ltal javasolt utas\u00edt\u00e1sokat az adatk\u00f6zpontba k\u00fcldik, ahol a helyi rendszerek is ellen\u0151rzik a biztons\u00e1got, mik\u00f6zben a szem\u00e9lyzet b\u00e1rmikor le\u00e1ll\u00edthatja az automatikus \u00fczemm\u00f3dot \u00e9s manu\u00e1lisan ir\u00e1ny\u00edthatja a h\u0171t\u00e9st. A Nlyte Software az IBM Watson csapat\u00e1val k\u00f6z\u00f6sen l\u00e9trehozta <noindex><a rel=\"nofollow\" href=\"https:\/\/www.datacenterknowledge.com\/machine-learning\/ibm-watson-crunch-nlyte-dcim-data-optimize-data-center-operations\">d\u00f6nt\u00e9s<\/a><\/noindex>, amely a h\u0151m\u00e9rs\u00e9kletet \u00e9s p\u00e1ratartalmat, az energiafogyaszt\u00e1st \u00e9s az IT-eszk\u00f6z\u00f6k terhel\u00e9s\u00e9t r\u00f6gz\u00edti. Ez lehet\u0151v\u00e9 teszi a m\u00e9rn\u00f6ki alrendszerek munk\u00e1j\u00e1nak optimaliz\u00e1l\u00e1s\u00e1t \u00e9s nem ig\u00e9nyel kapcsolatot a gy\u00e1rt\u00f3 felh\u0151infrastrukt\u00far\u00e1j\u00e1val \u2014 sz\u00fcks\u00e9g eset\u00e9n a megold\u00e1s k\u00f6zvetlen\u00fcl az adatk\u00f6zpontban telep\u00edthet\u0151. <\/p>\n<p><\/p>\n<h2>M\u00e1s p\u00e9ld\u00e1k<\/h2>\n<p><\/p>\n<p>Sz\u00e1mos innovat\u00edv okos megold\u00e1s l\u00e9tezik az adatk\u00f6zponti piacon, \u00e9s folyamatosan \u00fajabbak jelennek meg. A Wave2Wave l\u00e9trehozott egy robotiz\u00e1lt rendszert a sz\u00e1loptikai k\u00e1belek kapcsol\u00e1s\u00e1ra az automatikus keresztkapcsolatok megszervez\u00e9se \u00e9rdek\u00e9ben a forgalmi cserehelyeken (Meet Me Room) az adatk\u00f6zponton bel\u00fcl. A ROOT Data Center \u00e9s a LitBit \u00e1ltal kifejlesztett rendszer mesters\u00e9ges intelligenci\u00e1t haszn\u00e1l a tartal\u00e9k d\u00edzelgener\u00e1torok fel\u00fcgyelet\u00e9re, m\u00edg a Romonet egy \u00f6n\u00e1ll\u00f3an tanul\u00f3 szoftvermegold\u00e1st dolgozott ki az infrastrukt\u00fara optimaliz\u00e1l\u00e1s\u00e1ra. A Vigilent \u00e1ltal l\u00e9trehozott megold\u00e1sok g\u00e9pi tanul\u00e1st haszn\u00e1lnak a meghib\u00e1sod\u00e1sok el\u0151rejelz\u00e9s\u00e9re \u00e9s az adatk\u00f6zpontok h\u0151m\u00e9rs\u00e9kleti k\u00f6rnyezet\u00e9nek optimaliz\u00e1l\u00e1s\u00e1ra. Az adatk\u00f6zpontokban val\u00f3 mesters\u00e9ges intelligencia, g\u00e9pi tanul\u00e1s \u00e9s m\u00e1s innovat\u00edv technol\u00f3gi\u00e1k alkalmaz\u00e1sa az automatiz\u00e1l\u00e1si folyamatokhoz viszonylag nemr\u00e9giben kezd\u0151d\u00f6tt, de ma ez az ipar\u00e1g egyik leg\u00edg\u00e9retesebb fejl\u0151d\u00e9si ir\u00e1nyzata. A modern adatk\u00f6zpontok t\u00fal nagyok \u00e9s bonyolultak lettek ahhoz, hogy hat\u00e9konyan k\u00e9zzel ir\u00e1ny\u00edts\u00e1k \u0151ket.<\/p>\n<p>Forr\u00e1s: <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 \u0442\u043e\u0436\u0435 \u0434\u043e\u043b\u0436\u043d\u044b \u0442\u0440\u0430\u043d\u0441\u0444\u043e\u0440\u043c\u0438\u0440\u043e\u0432\u0430\u0442\u044c\u0441\u044f: \u0432\u043e\u043f\u0440\u043e\u0441\u044b \u0438\u0445 \u043e\u0442\u043a\u0430\u0437\u043e\u0443\u0441\u0442\u043e\u0439\u0447\u0438\u0432\u043e\u0441\u0442\u0438 \u0438 \u044d\u043d\u0435\u0440\u0433\u043e\u044d\u0444\u0444\u0435\u043a\u0442\u0438\u0432\u043d\u043e\u0441\u0442\u0438 \u0441\u0435\u0439\u0447\u0430\u0441 \u0432\u0430\u0436\u043d\u044b \u043a\u0430\u043a \u043d\u0438\u043a\u043e\u0433\u0434\u0430. \u041e\u0431\u044a\u0435\u043a\u0442\u044b \u043f\u043e\u0442\u0440\u0435\u0431\u043b\u044f\u044e\u0442 \u043e\u0433\u0440\u043e\u043c\u043d\u043e\u0435 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u043e \u044d\u043b\u0435\u043a\u0442\u0440\u043e\u044d\u043d\u0435\u0440\u0433\u0438\u0438, \u0430 \u043e\u0442\u043a\u0430\u0437\u044b \u0440\u0430\u0437\u043c\u0435\u0449\u0435\u043d\u043d\u043e\u0439 \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 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