“);
});
try {
$(“div.lazyload_blox_ad”).lazyLoadAd({
threshold : 0, // You can set threshold on how close to the edge ad should come before it is loaded. Default is 0 (when it is visible).
forceLoad : false, // Ad is loaded even if not visible. Default is false.
onLoad : false, // Callback function on call ad loading
onComplete : false, // Callback function when load is loaded
timeout : 1500, // Timeout ad load
debug : false, // For debug use : draw colors border depends on load status
xray : false // For debug use : display a complete page view with ad placements
}) ;
}
catch (exception){
console.log(“error loading lazyload_ad ” + exception);
}
});

I hear it every day now: “We’re moving beyond cloud computing to edge computing.” Pretty hypey, and not at all logical.

Edge computing is a handy trick. It’s the ability to place processing and data retention at a system that’s closer to the target system it’s collecting data for as well as to provide autonomous processing.

The architectural advantages are plenty, including not having to transmit all the data to the back-end systems—typical in the cloud—for processing. This reduces latency and can provide better security and reliability as well.

But, and this is a big “but,” edge computing systems don’t stand alone. Indeed, they work with back-end systems to collect master data and provide deeper processing. This is how edge computing and cloud computing provide a single symbiotic solution. They are not, and will never be, mutually exclusive.