Ukuba ubukrelekrele bokwenziwa buthathwa njengohambo oluvela ku-A ukuya ku-B, inkonzo ye-cloud computing yisikhululo seenqwelo-moya okanye isikhululo sikaloliwe esikhawulezayo, kwaye i-edge computing yiteksi okanye ibhayisekile ekwabelwana ngayo. I-Edge computing ikufutshane nabantu, izinto, okanye imithombo yedatha. Isebenzisa iqonga elivulekileyo elidibanisa indawo yokugcina, ukubala, ukufikelela kwinethiwekhi, kunye nobuchule obuphambili besicelo ukubonelela ngeenkonzo kubasebenzisi abakufutshane. Xa kuthelekiswa neenkonzo ze-cloud computing ezisasazwe kwindawo enye, i-edge computing isombulula iingxaki ezifana ne-long latency kunye ne-convegence traffic ephezulu, inika inkxaso engcono kwiinkonzo zexesha langempela kunye ne-bandwidth-demanding.
Umlilo weChatGPT uqalise uphuhliso olutsha lwe-AI, ukhawulezisa ukucwila kwe-AI kwiindawo ezininzi zezicelo ezifana nemizi-mveliso, ukuthengisa, amakhaya akrelekrele, izixeko ezikrelekrele, njl. Inani elikhulu ledatha kufuneka ligcinwe kwaye libalwe ekupheleni kwesicelo, kwaye ukuthembela kwilifu kuphela akusakwazi ukuhlangabezana nemfuno yokwenyani, i-edge computing iphucula ikhilomitha yokugqibela yezicelo ze-AI. Phantsi komgaqo-nkqubo wesizwe wokuphuhlisa ngamandla uqoqosho lwedijithali, i-cloud computing yaseTshayina ingene kwixesha lophuhliso olubandakanya wonke umntu, imfuno ye-edge computing inyukile, kwaye ukuhlanganiswa kwe-cloud edge kunye ne-end kube yindlela ebalulekileyo yokuzivelela kwixesha elizayo.
Imakethi yekhompyutha ye-Edge ikhula nge-36.1% CAGR kwiminyaka emihlanu ezayo
Ishishini le-edge computing lingene kwinqanaba lophuhliso oluzinzileyo, njengoko kungqinwa kukwahlukana kancinci kancinci kwababoneleli beenkonzo zalo, ubungakanani bemarike obukhulayo, kunye nokwandiswa ngakumbi kweendawo ezisetyenziswayo. Ngokuphathelele ubungakanani bemarike, idatha evela kwingxelo yokulandelela ye-IDC ibonisa ukuba ubungakanani bemarike iyonke yee-edge computing servers e-China bufikelele kwi-US $ 3.31 yeebhiliyoni ngo-2021, kwaye ubungakanani bemarike iyonke yee-edge computing servers e-China kulindeleke ukuba bukhule ngesantya sokukhula sonyaka esidibeneyo se-22.2% ukusuka ngo-2020 ukuya ku-2025. USullivan uqikelela ukuba ubungakanani bemarike ye-edge computing e-China kulindeleke ukuba bufikelele kwi-RMB 250.9 yeebhiliyoni ngo-2027, nge-CAGR engama-36.1% ukusuka ngo-2023 ukuya ku-2027.
Ishishini le-eco-industry le-Edge computing liyachuma
I-Edge computing okwangoku ikwinqanaba lokuqala lobhubhane, kwaye imida yeshishini kuluhlu lweshishini ayicacanga kangako. Kubathengisi ngabanye, kuyimfuneko ukuqwalasela ukuhlanganiswa neemeko zoshishino, kwaye kuyimfuneko nokuba nokukwazi ukuziqhelanisa notshintsho kwiimeko zoshishino ukusuka kwinqanaba lobugcisa, kwaye kuyimfuneko ukuqinisekisa ukuba kukho inqanaba eliphezulu lokuhambelana nezixhobo zehardware, kunye nokukwazi kobunjineli ukuqalisa iiprojekthi.
Ikhonkco leshishini le-edge computing lahlulwe laba ngabathengisi beetshiphusi, abathengisi be-algorithm, abavelisi bezixhobo zehardware, kunye nababoneleli bezisombululo. Abathengisi beetshiphusi ikakhulu baphuhlisa iitshiphusi ze-arithmetic ukusuka kwicala lokugqibela ukuya kwicala elingaphandle ukuya kwelinye, kwaye ukongeza kwiitshiphusi zecala elingaphandle, bakwaphuhlisa amakhadi okukhawulezisa kwaye baxhasa amaqonga ophuhliso lwesoftware. Abathengisi be-algorithms bathatha ii-algorithms zombono wekhompyutha njengeyona nto iphambili yokwakha ii-algorithms eziqhelekileyo okanye ezenzelwe wena, kwaye kukwakho namashishini akha ii-malls ze-algorithm okanye amaqonga oqeqesho kunye nokutyhala. Abathengisi bezixhobo batyala imali ngokukhutheleyo kwiimveliso ze-edge computing, kwaye uhlobo lweemveliso ze-edge computing luhlala lutyetyiswa, kancinci kancinci lwenza inqwaba epheleleyo yeemveliso ze-edge computing ukusuka kwi-chip ukuya kumatshini wonke. Ababoneleli bezisombululo banikezela ngezisombululo zesoftware okanye zesoftware-hardware kumashishini athile.
Izicelo zoshishino lwe-Edge computing ziyakhawuleza
Kwintsimi yesixeko esikrelekrele
Uhlolo olupheleleyo lwepropati yasezidolophini ngoku lusetyenziswa kakhulu kwindlela yokuhlola ngesandla, kwaye indlela yokuhlola ngesandla ineengxaki zeendleko ezithatha ixesha elininzi kunye neendleko ezifuna abasebenzi abaninzi, ukuxhomekeka kwinkqubo kubantu ngabanye, ukugubungela okungekho semgangathweni kunye nokuphindaphinda kokuhlolwa, kunye nolawulo oluphantsi lomgangatho. Kwangaxeshanye inkqubo yokuhlola irekhode inani elikhulu ledatha, kodwa ezi zixhobo zedatha aziguqulwanga zibe ziiasethi zedatha zokunika amandla amashishini. Ngokusebenzisa itekhnoloji ye-AI kwiimeko zokuhlola eziphathwayo, eli shishini lidale isithuthi sokuhlola esikrelekrele se-AI yolawulo lwasezidolophini, esisebenzisa itekhnoloji efana ne-Intanethi yezinto, i-cloud computing, ii-algorithms ze-AI, kwaye sithwala izixhobo zobungcali ezifana neekhamera ezicacileyo, izibonisi ezisebhodini, kunye neeseva ezisecaleni ze-AI, kwaye idibanisa indlela yokuhlola "yenkqubo yobukrelekrele + uncedo loomatshini abakrelekrele + abasebenzi". Ikhuthaza ukuguqulwa kolawulo lwasezidolophini ukusuka kubukrelekrele obusebenzisa abasebenzi ukuya kubukrelekrele boomatshini, ukusuka kugwebo olusebenzayo ukuya kuhlalutyo lwedatha, kunye nokusuka kwimpendulo engasebenziyo ukuya ekufumaneni okusebenzayo.
Kwintsimi yendawo yokwakha ekrelekrele
Izisombululo zeendawo zokwakha ezikrelekrele ezisekelwe kwi-Edge computing zisebenzisa ukuhlanganiswa okunzulu kwetekhnoloji ye-AI kumsebenzi wokubeka esweni ukhuseleko kwishishini lokwakha lendabuko, ngokubeka i-terminal yohlalutyo lwe-AI edge kwindawo yokwakha, ukugqiba uphando oluzimeleyo kunye nophuhliso lwee-algorithms ze-AI ezibonakalayo ezisekelwe kwitekhnoloji yohlalutyo lwevidiyo ekrelekrele, ukufumanisa ixesha elizeleyo iziganeko eziza kubonwa (umz., ukufumanisa ukuba kufuneka unxibe isigcina-ntloko okanye hayi), ukubonelela ngabasebenzi, okusingqongileyo, ukhuseleko kunye nezinye iinkonzo zokuchonga umngcipheko wokhuseleko kunye nezikhumbuzo ze-alamu, kunye nokuthatha inyathelo lokuchonga izinto ezingakhuselekanga, ukhuseleko olukrelekrele lwe-AI, ukonga iindleko zabasebenzi, ukuhlangabezana neemfuno zabasebenzi kunye nolawulo lokhuseleko lwepropathi kwiindawo zokwakha.
Kwicandelo lothutho olukrelekrele
Uyilo lwe-cloud-side-end luye lwaba yindlela esisiseko yokusasazwa kwezicelo kwishishini lothutho olukrelekrele, kunye necala le-cloud elinoxanduva lolawulo oluphakathi kunye nenxalenye yokucubungula idatha, icala le-edge libonelela ngokuyintloko ngohlalutyo lwedatha ye-edge-side kunye nokucubungula izigqibo zokubala, kwaye icala le-end linoxanduva ngokuyintloko lokuqokelela idatha yeshishini.
Kwiimeko ezithile ezifana nokulungelelaniswa kwezithuthi neendlela, iindlela zokudibana kweholographic, ukuqhuba ngokuzenzekelayo, kunye nethrafikhi kaloliwe, kukho inani elikhulu lezixhobo ezahlukeneyo ezifikelelwayo, kwaye ezi zixhobo zifuna ulawulo lokufikelela, ulawulo lokuphuma, ukucubungula i-alamu, kunye nokusebenza kunye nokulungiswa. I-Edge computing inokwahlulahlula kwaye yoyise, ijike ibe nkulu ibe ncinci, ibonelele ngemisebenzi yokuguqula iprotocol, ifezekise ukufikelela okudibeneyo nokuzinzileyo, kunye nolawulo oludibeneyo lwedatha eyahlukileyo.
Kwicandelo lemveliso yemizi-mveliso
Imeko yoLungiso lweNkqubo yeMveliso: Okwangoku, inani elikhulu leenkqubo zokuvelisa ezahlukeneyo zithintelwe kukungaphelelanga kwedatha, kwaye ukusebenza kakuhle kwezixhobo kunye nezinye izibalo zedatha yesalathiso azinamsebenzi, nto leyo eyenza kube nzima ukuyisebenzisa ukuze kuphuculwe ukusebenza kakuhle. Iqonga lokubala i-Edge elisekelwe kwimodeli yolwazi lwezixhobo ukuze kufezekiswe inkqubo yokuvelisa yenqanaba le-semantic unxibelelwano oluthe tye kunye nonxibelelwano oluthe tye, olusekelwe kwindlela yokucubungula ukuhamba kwedatha ngexesha langempela ukuhlanganisa nokuhlalutya inani elikhulu ledatha yexesha langempela lasentsimini, ukufezekisa ukuhlanganiswa kolwazi lwemithombo yedatha emininzi esekelwe kumgca wemveliso osekelwe kwimodeli, ukubonelela ngenkxaso enamandla yedatha yokwenza izigqibo kwinkqubo yokuvelisa eyahlukileyo.
Imeko yoLondolozo lweZixhobo zokuQaphela: Ukugcinwa kwezixhobo zoshishino kwahlulwe zibe ziintlobo ezintathu: ukugcinwa okubuyiselwayo, ukugcinwa okuthintelayo, kunye nokugcinwa kwangaphambili. Ukugcinwa okubuyiselayo kukugcinwa kwangaphambili, ukugcinwa okuthintelayo, kunye nokugcinwa kwangaphambili, kukugcinwa kwangaphambili, okokuqala kusekelwe kwixesha, ukusebenza kwezixhobo, iimeko zendawo, kunye nezinye izinto zokugcinwa rhoqo kwezixhobo, ngokuxhomekeke kumava omntu, okukugqibela ngokuqokelelwa kwedatha yesenzwa, ukujonga imeko yokusebenza kwezixhobo ngexesha langempela, ngokusekelwe kwimodeli yohlalutyo lwedatha yezimboni, kunye nokuqikelela ngokuchanekileyo ukuba ukusilela kwenzeka nini.
Imeko yokuhlolwa komgangatho wemizi-mveliso: intsimi yokuhlolwa kombono wemizi-mveliso yeyona ndlela yokuqala yokuhlolwa kwe-optical optical (AOI) yendabuko eyenzeka ngayo kwicandelo lokuhlolwa komgangatho, kodwa uphuhliso lwe-AOI ukuza kuthi ga ngoku, kwiimeko ezininzi zokufunyanwa kweziphene kunye nezinye iimeko ezinzima, ngenxa yeziphene zeentlobo ngeentlobo, ukukhutshwa kweempawu akuphelelanga, ii-algorithms eziguquguqukayo azinakwandiswa kakuhle, umgca wemveliso uhlaziywa rhoqo, ukufuduka kwe-algorithm akuguquguquki, kunye nezinye izinto, inkqubo yendabuko ye-AOI ibe nzima ukuhlangabezana nophuhliso lweemfuno zomgca wemveliso. Ke ngoko, iqonga le-algorithm yokuhlolwa komgangatho wemizi-mveliso ye-AI elimelwe kukufunda okunzulu + ukufunda okuncinci kwesampulu lithatha indawo yesicwangciso sokuhlolwa okubonakalayo semveli, kwaye iqonga lokuhlolwa komgangatho wemizi-mveliso ye-AI lidlule kwizigaba ezibini zee-algorithms zokufunda koomatshini zakudala kunye nee-algorithms zokuhlolwa okunzulu.
Ixesha lokuthumela: Okthobha-08-2023