Kupi uye sei edge maseva anoshandiswa

Kupi uye sei edge maseva anoshandiswa

Paunenge uchigadzira network network, munhu anowanzo funga ingave yemunharaunda komputa kana cloud computing. Asi sarudzo mbiri idzi uye misanganiswa yadzo ishoma. Semuenzaniso, chii chaunofanira kuita kana iwe usingakwanise kuramba Cloud computing, asi hapana bandwidth yakakwana kana traffic inodhura zvakanyanya?

Wedzera yepakati iyo ichaita chikamu chekuverenga pamucheto wetiweki yenzvimbo kana maitiro ekugadzira. Iyi pfungwa yemupendero inonzi Edge Computing. Iyo pfungwa inozadzisa yazvino yegore data yekushandisa modhi, uye mune ino chinyorwa tichatarisa inodiwa hardware uye muenzaniso mabasa ayo.

Edge computing mazinga

Kupi uye sei edge maseva anoshandiswa

Ngatiti iwe une boka rese rema sensor akaiswa kumba: thermometer, hygrometer, mwenje sensor, leak sensor, zvichingodaro. Iyo inonzwisisika controller inogadzirisa ruzivo rwakagamuchirwa kubva kwavari, inoshandisa otomatiki mamiriro, nyaya dzakagadziriswa telemetry kune gore sevhisi uye inogamuchira yakagadziridzwa otomatiki mamiriro uye nyowani firmware kubva kwairi. Nokudaro, computing yemunharaunda inoitwa zvakananga panzvimbo, asi midziyo inodzorwa kubva kune node inobatanidza michina yakawanda yakadaro. 

Uyu muenzaniso weiyo yakapusa kumucheto komputa system, asi inotoratidza ese matatu mazinga e edge komputa:

  • Zvishandiso zveIoT: gadzira "data raw" uye ritumire pamusoro peakasiyana maprotocol. 
  • Edge node: Gadzirisa data iri padhuze neruzivo masosi uye ita sezvitoro zvenguva pfupi.
  • Cloud masevhisi: inopa manejimendi mabasa kune ese ari maviri epaperipheral uye IoT zvishandiso, ita-yakareba data kuchengetedza uye kuongorora. Pamusoro pezvo, vanotsigira kubatanidzwa nemamwe masisitimu emakambani. 

Iyo pfungwa yeEdge komputa pachayo chikamu chehombe ecosystem inokwidziridza maitiro etekinoroji. Inosanganisira ese ari maviri Hardware (rack uye edge maseva), uye network uye software zvikamu (semuenzaniso, chikuva Codex AI Suite yekugadzira AI algorithms). Sezvo mabhodhoro achigona kusimuka panguva yekugadzira, kuendesa uye kugadzirisa kwe data hombe uye kudzikisira kuita kwehurongwa hwese, zvikamu izvi zvinofanirwa kuenderana.

Zvimiro zveedge servers

Pakumucheto node level, Edge Computing inoshandisa maseva ekumucheto anoiswa zvakananga kunogadzirwa ruzivo. Kazhinji izvi zvivakwa zvekugadzira kana zvehunyanzvi umo zvisingaite kuisa server rack uye kuve nehutsanana. Nekudaro, maseva ekumucheto anochengeterwa mune compact, guruva- uye hunyoro-uchapupu makesi ane yakawedzera tembiricha renji; iwo haagone kuiswa mune rack. Hongu, sevha yakadaro inogona kurembera zviri nyore pamatepi ane mativi maviri anchors pane imwe nzvimbo pasi pematanho kana mukamuri rekushandisa.

Sezvo maseva ekumucheto akaiswa kunze kwenzvimbo dzakachengeteka dzedata, ane zvakakwirira zvekuchengetedza zvemuviri zvinodiwa. Midziyo yekudzivirira inopihwa kwavari:

Kupi uye sei edge maseva anoshandiswa

Padanho rekugadzirisa data, maseva ekumucheto anopa dhisiki encryption uye yakachengeteka booting. Encryption pachayo inoshandisa 2-3% yesimba rekombuta, asi maseva ekumucheto anowanzo shandisa Xeon D processors ine yakavakirwa-mukati AES acceleration module, iyo inoderedza kurasikirwa kwesimba.

Nguva Yekushandisa Edge Servers

Kupi uye sei edge maseva anoshandiswa

NeEdge Computing, iyo data data inogamuchira yekugadzirisa chete iyo data isingagoneke kana isina musoro kugadzirisa neimwe nzira. Saka, maseva ekumucheto anoshandiswa kana zvichidikanwa:

  • Flexible maitiro ekuchengetedza, sezvo mune yeEdge Computing iwe unogona kugadzirisa kuendesa kweyakagadziriswa uye yakagadzirira ruzivo kune yepakati data data; 
  • Kudzivirirwa pakurasikirwa neruzivo, sezvo kana kutaurirana nepakati kwakarasika, node dzenzvimbo dzichaunganidza ruzivo; 
  • Kuchengetedza patraffic kunowanikwa nekugadzirisa huwandu hweruzivo pane saiti. 

Edge komputa kuchengetedza traffic

Kupi uye sei edge maseva anoshandiswa

Kambani yeDanish yeMaersk, mumwe wevanotungamira mukutakurwa kwezvinhu zvemugungwa munyika, yafunga kudzikisa kudyiwa kwemafuta engarava dzayo uye kuderedza kuburitswa kwezvinosvibisa mumhepo. 

Tekinoroji yakashandiswa kugadzirisa dambudziko iri Siemens EcoMain Suite, sensors pamainjini uye zvikamu zvikuru zvechikepe, pamwe nemunharaunda yeBullSequana Edge server ye-on-saiti computing. 

Kutenda kune masensa, iyo EcoMain Suite system inogara ichitarisa mamiriro ezvakakomba zvikamu zvechikepe uye kutsauka kwavo kubva kune yakaverengerwa yakajairwa. Izvi zvinokutendera kuti utarise chikanganiso nekukurumidza uye kuchiisa pasi kune dambudziko node. Sezvo telemetry ichigara ichiendeswa "pakati", nyanzvi yebasa inogona kuita ongororo iri kure uye kuita kurudziro kune vari-bhodhi vashandi. Uye mubvunzo mukuru pano ndewekuti ingani data uye mune vhoriyamu yekuendesa kune yepakati data data. 

Sezvo kubatanidza yakachipa wired Internet kune ngarava yegungwa ine dambudziko, kuendesa huwandu hwakakura hwe data kune yepakati server kunodhura zvakanyanya. Pane yepakati BullSequana S200 sevha, iyo yakazara inonzwisisika modhi yechikepe inoverengerwa, uye kugadzirisa data uye kutonga kwakananga kunoendeswa kune yeko sevha. Somugumisiro, kushandiswa kwegadziriro iyi kwakabhadhara pachayo mumwedzi mitatu.

Edge komputa kuchengetedza zviwanikwa

Kupi uye sei edge maseva anoshandiswa

Mumwe muenzaniso wekumucheto komputa ndeye vhidhiyo analytics. Nekudaro, kune mugadziri wemidziyo yemagasi ehunyanzvi Air Liquide, rimwe remabasa emuno ekutenderera kwekugadzira kudzora kwemhando yependi yemasilinda egasi. Yakaitwa nemaoko uye yakatora anenge 7 maminetsi pacylinder.

Kuti akurumidze kuita izvi, munhu wacho akatsiviwa nebhokisi re7-high-definition video kamera. Makamera anoridza bharumu kubva kumativi akati wandei, achigadzira anenge 1 GB yevhidhiyo paminiti. Vhidhiyo inotumirwa kuBullSequana Edge server neNvidia T4 pabhodhi, uko neural network yakadzidziswa kutsvaga hurema inoongorora rwizi online. Nekuda kweizvozvo, avhareji yenguva yekuongorora yakaderedzwa kubva pamaminetsi akati wandei kusvika kumasekonzi akati wandei.

Edge komputa mune analytics

Kupi uye sei edge maseva anoshandiswa

Kutasva kuDisneyland hakusi kungonakidza chete, asiwo kwakaoma hunyanzvi zvinhu. Saka, anenge 800 masensa akasiyana akaiswa pa "Roller Coaster". Ivo vanogara vachitumira data nezve mashandiro ekukwezva kune sevha, uye sevha yenzvimbo inogadzirisa iyi data, inoverengera mukana wekutadza kukwezva, uye inosaina iyi kune yepakati data data. 

Kubva pane iyi data, mukana wekutadza kwehunyanzvi unotemwa uye kugadzirisa kwekudzivirira kunotangwa. Iko kukwezva kunoramba kuchishanda kusvikira pakupera kwezuva rekushanda, uye panguva ino kugadziriswa kwekugadzirisa kwakatobudiswa, uye vashandi vanokurumidza kugadzirisa kukwezva usiku. 

BullSequana Edge 

Kupi uye sei edge maseva anoshandiswa

BullSequana Edge maseva chikamu chenzvimbo huru yekushanda ne "data hombe"; vakatoyedzwa neMicrosoft Azure uye Nokia MindSphere mapuratifomu, VMware WSX uye vane NVidia NGC/EGX zvitupa. Aya maseva akagadzirirwa kumucheto komputa uye anowanikwa muU2 fomu factor chassis mune yakajairwa rack, DIN njanji, madziro uye tower gomo sarudzo. 

BullSequana Edge yakavakirwa pane yevaridzi mamaboard uye Intel Xeon D-2187NT processor. Vanotsigira kuiswa kwekusvika ku512 GB ye RAM, 2 SSDs e960 GB kana 2 HDDs e8 kana 14 TB. Vanogonawo kuisa 2 Nvidia T4 16 GB GPUs yekugadzirisa mavhidhiyo; Wi-fi, LoRaWAN uye 4G modules; kusvika ku2 10-Gigabit SFP modules. Iwo maseva pachawo atove nevhavha yekuvhura sensor yakaiswa, iyo yakabatana neBMC inodzora iyo IPMI module. Inogona kugadziridzwa kuti ivhare otomatiki simba kana sensor inotangwa. 

Yakazara tekinoroji yakatarwa yeBullSequana Edge maseva inogona kuwanikwa pa batanidzo. Kana iwe uchifarira ruzivo, isu tichafara kupindura mibvunzo yedu mumhinduro.

Source: www.habr.com

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