Uma ubuhlakani bokwenziwa bubhekwa njengohambo oluvela ku-A kuya ku-B, isevisi yokubala amafu iyisiteshi sezindiza noma isiteshi sesitimela esinejubane elikhulu, kanti ukubala ama-edge kuyitekisi noma ibhayisikili elihlanganyelwe. Ukubala ama-Edge kuseduze nohlangothi lwabantu, izinto, noma imithombo yedatha. Kuthatha ipulatifomu evulekile ehlanganisa isitoreji, ukubala, ukufinyelela kwenethiwekhi, kanye namakhono ayisisekelo ohlelo lokusebenza ukuhlinzeka ngezinsizakalo kubasebenzisi abaseduze. Uma kuqhathaniswa nezinsizakalo zokubala amafu ezisetshenziswa phakathi nendawo, ukubala ama-edge kuxazulula izinkinga ezifana nokubambezeleka isikhathi eside kanye nethrafikhi ephezulu yokuhlangana, kuhlinzeka ngokusekelwa okungcono kwezinsizakalo zesikhathi sangempela kanye nezinsizakalo ezidinga i-bandwidth.
Umlilo we-ChatGPT uqalise igagasi elisha lokuthuthukiswa kwe-AI, okusheshisa ukucwila kwe-AI ezindaweni eziningi zohlelo lokusebenza njengezimboni, izindawo zokuthengisa, amakhaya ahlakaniphile, amadolobha ahlakaniphile, njll. Inani elikhulu ledatha lidinga ukugcinwa nokubalwa ekugcineni kohlelo lokusebenza, futhi ukuthembela efwini kuphela akusakwazi ukuhlangabezana nesidingo sangempela, i-edge computing ithuthukisa ikhilomitha lokugcina lezinhlelo zokusebenza ze-AI. Ngaphansi kwenqubomgomo kazwelonke yokuthuthukisa ngamandla umnotho wedijithali, i-cloud computing yaseShayina ingene enkathini yentuthuko ebandakanya wonke umuntu, isidingo se-edge computing sikhuphuke kakhulu, futhi ukuhlanganiswa kwe-cloud edge kanye ne-end kube yindlela ebalulekile yokuziphendukela kwemvelo esikhathini esizayo.
Imakethe ye-Edge computing izokhula ngo-36.1% CAGR eminyakeni emihlanu ezayo
Imboni ye-edge computing isingene esigabeni sokuthuthuka okuqhubekayo, njengoba kufakazelwa ukuhlukahluka kancane kancane kwabahlinzeki bayo bezinsizakalo, usayizi wemakethe okhulayo, kanye nokwanda okuqhubekayo kwezindawo zokufaka izicelo. Ngokuphathelene nosayizi wemakethe, idatha evela embikweni wokulandelela we-IDC ikhombisa ukuthi usayizi wemakethe iyonke yamaseva e-edge computing eShayina ufinyelele ku-US$3.31 billion ngo-2021, kanti usayizi wemakethe iyonke yamaseva e-edge computing eShayina kulindeleke ukuthi ukhule ngesilinganiso sokukhula saminyaka yonke esingu-22.2% kusukela ngo-2020 kuya ku-2025. USullivan ubikezela ukuthi usayizi wemakethe we-edge computing eShayina kulindeleke ukuthi ufinyelele ku-RMB 250.9 billion ngo-2027, nge-CAGR engu-36.1% kusukela ngo-2023 kuya ku-2027.
Imboni ye-eco-computing ye-Edge iyachuma
I-Edge computing okwamanje isesigabeni sokuqala sokuqubuka kwalesi sifo, futhi imingcele yebhizinisi ochungechungeni lwemboni ayicacile. Kubathengisi ngabanye, kubalulekile ukucabangela ukuhlanganiswa nezimo zebhizinisi, futhi kuyadingeka nokuba nekhono lokuzivumelanisa nezinguquko ezimo zebhizinisi kusukela ezingeni lobuchwepheshe, futhi kuyadingeka ukuqinisekisa ukuthi kukhona izinga eliphezulu lokuhambisana nemishini yehadiwe, kanye nekhono lobunjiniyela lokuqalisa amaphrojekthi.
Uchungechunge lwemboni ye-edge computing luhlukaniswe ngabathengisi be-chip, abathengisi be-algorithm, abakhiqizi bamadivayisi ehadiwe, kanye nabahlinzeki bezixazululo. Abathengisi be-chip bakha kakhulu ama-chip e-arithmetic kusukela ohlangothini oluphelele kuya ohlangothini oluphelele kuya ohlangothini oluphelele, futhi ngaphezu kwama-chip ohlangothini oluphelele, bakha namakhadi okusheshisa futhi basekele amapulatifomu okuthuthukisa isofthiwe. Abathengisi be-algorithm bathatha ama-algorithms ombono wekhompyutha njengesisekelo sokwakha ama-algorithms ajwayelekile noma enziwe ngokwezifiso, futhi kukhona namabhizinisi akha izindawo ezinkulu ze-algorithm noma amapulatifomu okuqeqesha nokucindezela. Abathengisi bemishini batshala imali ngenkuthalo emikhiqizweni ye-edge computing, futhi uhlobo lwemikhiqizo ye-edge computing luhlala lucebiswa, kancane kancane lwakha inqwaba yemikhiqizo ye-edge computing kusukela ku-chip kuya kuwo wonke umshini. Abahlinzeki bezixazululo banikeza izixazululo zesofthiwe noma ze-hardware ezihlanganisiwe zezimboni ezithile.
Izinhlelo zokusebenza zemboni ye-Edge computing ziyasheshisa
Emkhakheni wedolobha elihlakaniphile
Ukuhlolwa okuphelele kwempahla yasemadolobheni okwamanje kuvame ukusetshenziswa ngendlela yokuhlola ngesandla, futhi indlela yokuhlola ngesandla inezinkinga zezindleko ezidla isikhathi esiningi nezidinga abasebenzi abaningi, ukuncika kwenqubo kubantu ngabanye, ukumbozwa okubi kanye nemvamisa yokuhlola, kanye nokulawulwa kwekhwalithi okungekuhle. Ngesikhathi esifanayo inqubo yokuhlola iqophe inani elikhulu ledatha, kodwa lezi zinsiza zedatha aziguqulwanga zaba yimpahla yedatha yokunika amandla ibhizinisi. Ngokusebenzisa ubuchwepheshe be-AI ezimweni zokuhlola zeselula, ibhizinisi lidale imoto yokuhlola ehlakaniphile ye-AI yokuphatha idolobha, esebenzisa ubuchwepheshe obufana ne-Internet of Things, i-cloud computing, ama-algorithms e-AI, futhi ethwala imishini yobungcweti efana namakhamera anencazelo ephezulu, izibonisi ezisebhodini, kanye namaseva aseceleni e-AI, futhi ihlanganisa indlela yokuhlola "yohlelo oluhlakaniphile + usizo lomshini oluhlakaniphile + abasebenzi". Ikhuthaza ukuguqulwa kokuphathwa kwedolobha kusuka ekuhlakanipheni okusebenzisa abasebenzi abaningi kuya ekuhlakanipheni kwemishini, kusukela ekwahluleleni okubonakalayo kuya ekuhlaziyweni kwedatha, kanye nokusuka empendulweni engenzi lutho kuya ekutholeni okusebenzayo.
Emkhakheni wesayithi lokwakha elihlakaniphile
Izixazululo zesayithi lokwakha elihlakaniphile elisekelwe ku-Edge computing zisebenzisa ukuhlanganiswa okujulile kobuchwepheshe be-AI emsebenzini wokuqapha ukuphepha kwemboni yokwakha yendabuko, ngokubeka i-terminal yokuhlaziya i-AI enqenqemeni endaweni yokwakha, ukuqedela ucwaningo oluzimele kanye nokuthuthukiswa kwama-algorithms e-AI abonakalayo asekelwe kubuchwepheshe bokuhlaziya ividiyo ehlakaniphile, ukuthola isikhathi esigcwele imicimbi ezotholakala (isb., ukuthola ukuthi kufanele ugqoke isigqoko noma cha), ukuhlinzeka ngabasebenzi, imvelo, ukuphepha kanye nezinye izinsizakalo zokuhlonza indawo yobungozi bokuphepha kanye nezikhumbuzo ze-alamu, kanye nokuthatha isinyathelo sokuhlonza izinto ezingaphephile, ukuqapha okuhlakaniphile kwe-AI, ukonga izindleko zabasebenzi, ukuhlangabezana nezidingo zabasebenzi kanye nokuphathwa kokuphepha kwempahla yezindawo zokwakha.
Emkhakheni wezokuthutha ezihlakaniphile
Ukwakhiwa kwe-cloud-side-end sekuyindlela eyisisekelo yokusetshenziswa kwezinhlelo zokusebenza embonini yezokuthutha ehlakaniphile, kanti uhlangothi lwefu lunesibopho sokuphathwa okuphakathi kanye nengxenye yokucubungula idatha, uhlangothi olusemaphethelweni luhlinzeka kakhulu ngokuhlaziywa kwedatha ohlangothini olusemaphethelweni kanye nokucubungula izinqumo zokubala, kanti uhlangothi olusemaphethelweni lunesibopho esikhulu sokuqoqwa kwedatha yebhizinisi.
Ezimweni ezithile ezifana nokuxhumanisa izimoto nomgwaqo, izindawo zokuhlangana kwe-holographic, ukushayela okuzenzakalelayo, kanye nethrafikhi yesitimela, kunenombolo enkulu yamadivayisi angafani afinyelelwayo, futhi lawa madivayisi adinga ukuphathwa kokufinyelela, ukuphathwa kokuphuma, ukucubungula i-alamu, kanye nokucubungula ukusebenza nokulungisa. I-Edge computing ingahlukanisa futhi inqobe, iphenduke ibe nkulu ibe yincane, inikeze imisebenzi yokuguqula iphrothokholi yezendlalelo ezihlukene, ifinyelele ukufinyelela okuhlangene nokuzinzile, kanye nokulawula ngokubambisana kwedatha engafani.
Emkhakheni wokukhiqiza wezimboni
Isimo Sokuthuthukisa Inqubo Yokukhiqiza: Njengamanje, inani elikhulu lezinhlelo zokukhiqiza ezihlukene linqunyelwe ukungapheleli kwedatha, futhi ukusebenza kahle kwemishini iyonke kanye nokubalwa kwedatha yenkomba kuncane kakhulu, okwenza kube nzima ukuyisebenzisa ukuze kuthuthukiswe ukusebenza kahle. Ipulatifomu yokubala i-Edge esekelwe kumodeli yolwazi lwemishini ukuze kufezwe uhlelo lokukhiqiza lwezinga le-semantic ukuxhumana okuvundlile kanye nokuxhumana okuqondile, ngokusekelwe endleleni yokucubungula ukugeleza kwedatha yesikhathi sangempela ukuze kuhlanganiswe futhi kuhlaziywe inani elikhulu ledatha yesikhathi sangempela yasensimini, ukuze kufezwe ukuhlanganiswa kolwazi lomthombo wedatha eminingi olusekelwe kumodeli, ukuze kunikezwe ukwesekwa kwedatha okunamandla kokwenza izinqumo ohlelweni lokukhiqiza oluhlukene.
Isimo Sokulungiswa Kwemishini Okubikezela: Ukugcinwa kwemishini yezimboni kuhlukaniswe ngezinhlobo ezintathu: ukulungiswa kokulungisa, ukulungiswa kokuvimbela, kanye nokugcinwa kokubikezela. Ukugcinwa kokulungisa kungokwe-ex post facto, ukulungiswa kokuvimbela, kanye nokugcinwa kokubikezela kungokwe-ex-ante, okokuqala kusekelwe esikhathini, ukusebenza kwemishini, izimo zendawo, kanye nezinye izici zokugcinwa okuvamile kwemishini, cishe kusekelwe kokuhlangenwe nakho komuntu, lokhu okulandelayo ngokuqoqwa kwedatha yenzwa, ukuqapha ngesikhathi sangempela isimo sokusebenza kwemishini, ngokusekelwe kumodeli yezimboni yokuhlaziywa kwedatha, kanye nokubikezela ngokunembile ukuthi ukwehluleka kwenzeka nini.
Isimo sokuhlolwa kwekhwalithi yezimboni: insimu yokuhlola umbono wezimboni iyindawo yokuqala yokuhlola okuzenzakalelayo kwe-optical (AOI) yendabuko eyakheka ensimini yokuhlola ikhwalithi, kodwa ukuthuthukiswa kwe-AOI kuze kube manje, ekutholakaleni kwamaphutha amaningi nakwezinye izimo eziyinkimbinkimbi, ngenxa yamaphutha ezinhlobo ezahlukene, ukukhishwa kwesici akuphelele, ama-algorithms aguquguqukayo awanwebeki kahle, umugqa wokukhiqiza ubuyekezwa njalo, ukufuduka kwe-algorithm akuguquguquki, nezinye izici, uhlelo lwendabuko lwe-AOI lube nzima ukuhlangabezana nokuthuthukiswa kwezidingo zomugqa wokukhiqiza. Ngakho-ke, ipulatifomu ye-algorithm yokuhlola ikhwalithi yezimboni ye-AI emelelwa ukufunda okujulile + ukufunda okuncane kwesampula kancane kancane ithatha indawo yohlelo lokuhlola olubonakalayo lwendabuko, futhi ipulatifomu yokuhlola ikhwalithi yezimboni ye-AI idlule ezigabeni ezimbili zama-algorithms okufunda komshini wakudala kanye nama-algorithms okuhlola ukufunda okujulile.
Isikhathi sokuthunyelwe: Okthoba-08-2023