Iyada oo xisaabinta la qaybiyey ay helayso caan, ereyada sida xisaabinta daruuraha iyo xisaabinta cidhifyada ayaa noqda mid caan ah. Kuwani kaliya maaha ereyo aan macno lahayn oo lagu kicinayo xiisaha isbeddelka, laakiin tignoolajiyada jira ayaa horseedaya hal-abuurnimada warshadaha oo dhan.

Xisaabinta daruuraha^(Cloud) iyo xisaabinta cidhifyada ayaa ah qaybaha muhiimka ah ee nidaamka IT-ga casriga ah. Laakiin maxay dhab ahaantii teknoolajiyadaasi ka kooban yihiin? Oo sidee bay isaga hor yimaaddaan? Aan ogaano.

Hordhac Ku Saabsan Xisaabinta Cloud

Dhammaanteen waxaan isticmaalnay Dropbox ama OneDrive si aan u kaydinno faylasha iyo xogta muhiimka ah. Xogta ayaa la sheegay in lagu kaydiyo "Daruur", laakiin maxay ka dhigan tahay?

Cloud^{(The Cloud)} , si fudud loo dhigo, waa ururinta agab xisaabeed laga heli karo intarneedka. Fikradda ayaa ah in aad si raqiis ah oo ammaan ah u isticmaali karto qalabka warshadaha ee meel kasta oo adduunka ka mid ah.

Dhaqan ahaan, shirkadaha waxaa lagu qasbay inay dejiyaan oo ay ilaaliyaan server-yada waaweyn ee baahidooda xisaabinta gudaha. Tani waxay keenaysaa kharashyo badan, iyada oo aan la xusin dabacsanaan la'aanta. U raritaan arjiga daruuraha waxay u oggolaaneysaa shirkad inay ka fogaato dhabarka qalabka, iyadoo codsanaysa inta kheyraad ee loo baahan yahay.

Waxa ay noqotay mid joogto ah mareegaha iyo codsiyada kale in laga wada adeego daruuraha, taas oo si weyn u fududaynaysa kaydka tignoolajiyada. Adeegyada sida Amazon AWS iyo Microsoft Azure ayaa safka hore kaga jira booskan, awoodna u leh dhammaan noocyada codsiyada shirkadaha adduunka oo dhan.

Faa'iidooyinka^(Pros)

• La qiyaasi karo: Adeegyada ^{(Scalable: )}daruuriga^(Cloud) ah ayaa kor loo qaadi karaa iyo marka loo baahdo, iyadoo siinaya dabacsanaan codsiyada iyada oo aan la gelin maalgelin adag.
• Cheap: Way ka faa'iido badan tahay adeeg bixiyaha inuu maamulo beero adeeg oo dhexe oo waaweyn marka loo eego in shirkad kastaa ay samaysato kombuyuutarkeeda. Tani waxay u oggolaanaysaa adeegyada daruuraha in lagu diyaariyo qiimo aad uga jaban marka loo eego hab-dhaqameedyada.
• Fudud:^(Simple:) Dejinta iyo maaraynta xogta xogta guriga iyo dhabarka API ma aha hawl fudud. Way fududahay in la saaro qalabka oo laga codsado ilaha xisaabinta sida loo baahdo.

Qasaarooyinka^(Cons)

• Ku-tiirsanaanta Shabakadda:^{(Network Dependent: )} Arrinta ugu weyn ee adeegyada daruuraha waa ku-tiirsanaanta shabakadda oo dhammaystiran. Adeegyada daruuruhu^(Cloud) xal uma aha meelaha fogfog ee leh isku xidhka shabakadu liidato.
• Gaabis:^{(Slow: )} Iyada oo ku xidhan meesha ay joogaan server-yada daruuraha, isgaadhsiintu waxay qaadan kartaa dhowr ilbiriqsi ilaa dhowr daqiiqo. Dib u dhacaasi aad buu ugu badan yahay codsiyada u baahan go'aanno degdeg ah (sida qalabka warshadaha).
• Bandwidth Intensive: Maadaama adeegayaasha daruuraha ay mas'uul ka yihiin xisaabinta iyo kaydinta, xog badan ayaa loo baahan yahay in la gudbiyo. Shuruudaha bandwidth waa qaali marka la eego xaaladaha soo saara macluumaad aad u ballaaran (AI, duubista muqaal, iwm.).

Xisaabinta Edge waa la sharaxay

Dhibaatada xisaabinta daruuraha ayaa ah ku tiirsanaanta shabakadda. Tani dhib kuma aha hawlaha intooda badan, laakiin codsiyada qaarkood ayaa ah kuwo waqti xasaasi ah u leh. Dib u dhigista gudbinta xogta, samaynta habaynta daruuraha, iyo helitaanka natiijadu waa wax yar laakiin la dareemi karo.

Ka dib waxaa jira arrin ku saabsan xawaaraha bandwidth. Codsiyada ku lug leh habaynta fiidiyowga ama algorithms AI waxay la shaqeeyaan xaddi badan oo xog ah, taas oo noqon karta qaali in lagu gudbiyo daruuraha. Si ka sii badan haddii xog ururintu ay ka dhacdo meel fog, halkaas oo isku xidhka shabakadu xaddidan tahay.

Edge computing wuxuu bixiyaa jawaabaha dhibaatooyinkan. Halkii xogta loo diri lahaa serfarka adduunka oo dhan, waa la kaydiyaa oo lagu farsameeyaa goobta, ama ugu yaraan meel u dhow.

Tani waxay faa'iido u leedahay badbaadinta kharashka gudbinta xogta iyo ka saarida qodobka daahitaanka shabakada. Xisaabinta waxay dhici kartaa isla markaaba, iyadoo siinaya natiijooyinka wakhtiga dhabta ah, taas oo muhiim u ah codsiyo badan.

Faa'iidooyinka^(Pros)

• Daahitaan La'aan:^{(No Latency: )} Sida kumbiyuutarka cidhifka ahi uu ku yaallo isha xogta, ma jirto daahsoon shabakad oo lagula dagaallamo. Tani waxay ku siinaysaa natiijooyin degdeg ah, taas oo muhiim u ah hababka waqtiga-dhabta ah.
• Gudbinta Xogta La Yareeyay:^{(Reduced Data Transmission: )} Kumbiyuutarka cidhifku wuxuu farsamayn karaa inta badan xogta goobta, isaga oo u gudbinaya natiijooyinka daruuraha. Tani waxay kaa caawinaysaa yaraynta mugga wareejinta xogta loo baahan yahay.

Qasaarooyinka^(Cons)

• Ka qaalisan daruuraha:^{(More Expensive than Cloud: )} Si ka duwan xisaabinta daruuraha, xisaabinta cidhifku waxay u baahan tahay nidaam go'an oo cidhif kasta ah. Iyada oo ku xidhan tirada qanjidhada noocan oo kale ah ee urur, kharashyadu aad ayey uga badan karaan adeegyada daruuraha.
• Dejinta Isku-dhafan:^{(Complex Setup: )} Marka la adeegsanayo xisaabinta daruuraha, waxa kaliya ee aan u baahanahay waa inaan codsano agabka oo aan dhisno wejiga hore ee codsiga. Farqiga u leh qalabka fulinaya tilmaamahaas waxaa loo daayay bixiyaha adeegga daruuraha. Si kastaba ha ahaatee, xisaabinta cidhifyada, si kastaba ha ahaatee, waxaad u baahan tahay inaad dhisto dhabarka dambe, adoo tixgelinaya baahida codsiga. Natiijo ahaan, waa geeddi-socod aad uga qayb-qaadan kara.

Cloud Computing^{(Cloud Computing Vs)} Vs. Edge Computing : kee baa ka wanaagsan?

Waxa ugu horreeya ee ay tahay inaad fahamto waa xisaabinta daruuraha iyo xisaabinta cidhifyada aanay ahayn tignoolajiyada tartamaya. Ma aha kuwo kala duwan xalal isku mid ah laakiin siyaabo kala duwan ayaa loo wajahaa, xalinta dhibaatooyinka kala duwan.

Xisaabinta Cloud^(Cloud) waxay u fiican tahay codsiyada la miisaami karo ee u baahan in kor loo qaado ama la dhaawaco iyadoo loo eegayo baahida. Adeegayaasha^(Web) mareegaha, tusaale ahaan, waxa ay codsan karaan ilo dheeraad ah inta lagu jiro xilliyada culayska badan ee seerfarka,iyaga oo hubinaya adeeg aan kala go 'lahayn iyada oo aan la galin kharash qalab joogto ah.

Sidoo kale, xisaabinta cidhifku waxay ku habboon tahay codsiyada waqtiga-dhabta ah ee soo saara xog badan. Internet-of-things ( IoT ), tusaale ahaan, waxa ay la macaamilaan aaladaha casriga ah ee^{(smart devices)} ku xidhan shabakad deegaanka ah. Qalabkani waxa ay ka maqan yihiin kombiyuutaro awood leh waana in ay ku tiirsanaadaan kumbiyuutarka cidhifka ah baahidooda xisaabeed. Ku samaynta wax la mid ah daruuraha waxay noqon doontaa mid aad u gaabis ah oo aan macquul ahayn sababtoo ah xogta badan ee ku lug leh.

Marka la soo koobo, xisaabinta daruuraha iyo cidhifyada labaduba waxay leeyihiin kiisas adeegsigooda waana in lagu doortaa si waafaqsan codsiga su'aasha.

Habka Isku-dhafka ah

Sidaan horey u sheegnay, xisaabinta daruuraha iyo xisaabinta cidhifyada maaha kuwo tartamaya, laakiin xalinta dhibaatooyinka kala duwan. Taasi waxay keenaysaa su'aasha ah; ma la wada isticmaali karaa labadaba?

Jawaabtu waa haa. Codsiyo badan ayaa qaata hab isku-dhafan, iyaga oo isku daraya labada tignoolajiyada waxtarka ugu dambeeya. Tusaale ahaan, mishiinada automation-ka warshaduhu inta badan waxay ku xidhan yihiin kombuyuutar goobta ku xidhan.

Kumbuyuutarka cidhifka ah ayaa mas'uul ka ah socodsiinta qalabka iyo samaynta xisaabinta adag iyada oo aan dib loo dhigin. Laakin isla mar ahaantaana, kombuyuutarku waxa uu sidoo kale u gudbiyaa xog xaddidan daruuraha, kaas oo maamula qaab-dhismeedka dhijitaalka ah ee maamulaya dhammaan hawlgalka laftiisa.

Sidan oo kale, codsigu wuxuu si buuxda u isticmaalayaa awoodaha labada waji, isagoo ku tiirsan xisaabinta cirifka xisaabinta waqtiga-dhabta ah iyadoo la adeegsanayo xisaabinta daruuraha wax kasta oo kale.

Waa kee ugu Wanaagsan^(Best) Tignoolajiyada La Qaybiyo^{(Computing Technology)} ?

Xisaabinta Edge^(Edge) maaha nooca la cusboonaysiiyay ee xisaabinta daruuraha. Waa hab ka duwan xagga xisaabinta la qaybiyey kaas oo ku anfacaya codsiyada wakhtiga xasaasiga ah iyo xog-dheeraynta.

Si kastaba ha ahaatee, xisaabinta daruuraha ayaa weli ah habka ugu dabacsan uguna kharash badan inta badan codsiyada kale. Marka la dejiyo kaydinta iyo habaynta server-ka go'an, shirkaduhu waxay diiradda saari karaan hawlahooda iyaga oo aan ka welwelin hirgelinta dhabarka.

Labaduba waa aaladaha lagama maarmaanka u ah dib-u-celinta xirfadlaha IT-ga, iyo inta badan tas-hiilaadka ugu sarreeya, ha ahaato IoT ama haddii kale, waxay ka faa'iidaystaan ​​isku-darka labada teknoolojiyadda si loo helo natiijooyinka ugu fiican.

Edge Computing Vs. Cloud Computing and Why It Matters

With distributed comрuting gaining popularity, terms lіke cloud computing and edge computing are becoming increasіngly common. These aren’t just meаningless buzzwords to spark interest in a trend, but existing tеchnologies drіving innovation across industries.

Cloud computing and edge computing are critical components of the modern IT system. But what exactly do these technologies entail? And how do they stack up against each other? Let’s find out.

An Introduction to Cloud Computing

We have all used Dropbox or OneDrive to backup up our important files and data. The data is said to be stored on the “Cloud,” but what does it mean?

The Cloud, simply put, is a collection of computing resources accessible over the internet. The idea is that you can use industrial-scale hardware located anywhere in the world cheaply and securely.

Traditionally, companies were forced to set up and maintain large servers for their in-house computing needs. This incurs high costs, not to mention the lack of flexibility. Moving an application to the cloud allows a company to abstract away the hardware backend, requesting as many resources as needed.

It has become routine for websites and other applications to be served entirely from the cloud, greatly simplifying the technology stack. Services like Amazon AWS and Microsoft Azure are frontrunners in this space, powering all sorts of applications for companies worldwide.

Pros

• Scalable: Cloud services can be ramped up as and when required, providing flexibility to applications without hard investments.
• Cheap: It is more cost-effective for a service provider to run large centralized server farms than for each firm to set up its own computers. This allows cloud services to be made available at a much lower cost than traditional setups.
• Simple: Setting up and managing an in-house database and API backend is no easy undertaking. It is easier to abstract the hardware away and request computing resources as required.

Cons

• Network Dependent: The main issue with cloud services is complete network dependence. Cloud services are not a solution for remote areas with poor network connectivity.
• Slow: Depending on the location of the cloud servers, communication can take from a few seconds to several minutes. That delay is too much in applications requiring instant decisions (such as industrial equipment).
• Bandwidth Intensive: As the cloud servers are responsible for computation and storage, a lot of data needs to be transmitted. Bandwidth requirements are expensive in scenarios that generate vast information (AI, video recording, etc.).

Edge Computing Explained

A problem with cloud computing is its dependence on the network. This is not a problem for most tasks, but some applications are extremely time-sensitive. The delay in transmitting data, performing the processing on the cloud, and receiving the results is slight but perceptible.

Then there is the issue of the bandwidth. Applications involving video processing or AI algorithms work with large amounts of data, which can be expensive to transmit to the cloud. More so if the data collection occurs in a remote location, where network connectivity is limited.

Edge computing delivers an answer to these problems. Instead of sending the data to a server halfway across the world, it’s stored and processed on-site, or at least at a nearby location.

This has the advantage of saving data transmission costs and removing the factor of network latency. The computation can take place immediately, giving the results in real-time, which is vital for many applications.

Pros

• No Latency: As the edge computer is located at the source of data, there is no network latency to contend with. This gives immediate results, which is important for real-time processes.
• Reduced Data Transmission: The edge computer can process the bulk of the data at the site, transmitting only the results to the cloud. This helps reduce the volume of data transfer required.

Cons

• More Expensive than Cloud: Unlike cloud computing, edge computing requires a dedicated system at each edge node. Depending on the number of such nodes in an organization, the costs can be much higher than cloud services.
• Complex Setup: With cloud computing, all we need is to request resources and build the application frontend. The nitty-gritty of the hardware carrying out those instructions is left to the cloud service provider. In edge computing, however, you need to build the backend, taking into account the application’s needs. As a result, it is a much more involved process.

Cloud Computing Vs. Edge Computing: Which One Is Better?

The first thing that you must understand is that cloud computing and edge computing are not competing technologies. They are not different solutions to the same problem but separate approaches altogether, solving different problems.

Cloud computing is best for scalable applications that need to be ramped up or wound down according to demand. Web servers, for example, can request extra resources during periods of high server load, ensuring seamless service without incurring any permanent hardware costs.

Similarly, edge computing is suitable for real-time applications that generate a lot of data. Internet-of-Things (IoT), for example, deals with smart devices connected to a local network. These devices lack powerful computers and must rely on an edge computer for their computational needs. Doing the same thing with the cloud would be too slow and unfeasible owing to the large amounts of data involved.

In short, both cloud and edge computing have their use-cases and must be chosen according to the application in question.

The Hybrid Approach

As we have said earlier, cloud computing and edge computing are not competitors, but solutions to different problems. That begs the question; can they both be used together?

The answer is yes. Many applications take a hybrid approach, integrating both technologies for ultimate efficiency. For example, industrial automation machinery is usually connected to an on-site embedded computer.

This edge computer is responsible for operating the device and performing complex calculations without delay. But at the same time, this computer also transmits limited data to the cloud, which runs the digital framework managing the entire operation itself.

In this way, the application makes full use of the strengths of both approaches, relying on edge computing for real-time computation while using cloud computing for everything else.

Which Is the Best Distributed Computing Technology?

Edge computing is not an upgraded version of cloud computing. It is a different approach toward distributed computing that comes in handy for time-sensitive and data-intensive applications.

However, cloud computing is still the most flexible and cost-efficient approach for most other applications. By offloading storage and processing to a dedicated server, companies can focus on their operations without worrying about backend implementation.

Both are essential tools in the repertoire of a savvy IT professional, and most cutting-edge facilities, whether IoT or otherwise, leverage a combination of the two technologies to get the best results.

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