EDGE COMPUTING
⚫ EDGE COMPUTING ENABLES DATA TO BE ANALYZED, PROCESSED & TRANSFERRED AT THE EDGE OF A NETWORK RATHER THAN BEING TRANSMITTED TO A CENTRALISED DATA CENTRE (CLOUD).
⚫ EDGE – WHERE THINGS OR PEOPLE PRODUCE OR CONSUME THAT INFORMATION SUCH AS THE DEVICE ITSELF OR A LOCAL COMPUTER OR SERVER.
EDGE COMPUTING IS DEVELOPED DUE TO
1. TO ANALYSE DATA LOCALLY CLOSER TO WHERE IT IS STORED, IN REAL-TIME WITHOUT LATENCY, RATHER THAN SEND IT FAR AWAY TO A CENTRALISED DATA CENTRE.
2. THE EXPONENTIAL GROWTH OF IOT DEVICES, WHICH CONNECT TO THE INTERNET FOR EITHER RECEIVING INFORMATION FROM THE CLOUD OR DELIVERING DATA BACK TO THE CLOUD.
3. MANY IoT DEVICES GENERATE ENORMOUS AMOUNT DATA DURING THE COURSE OF THEIR OPERATIONS.
DIFFERENCE BETWEEN EDGE COMPUTING AND CLOUD COMPUTING
1. THE BASIC DIFFERENCE BETWEEN EDGE COMPUTING AND CLOUD COMPUTING LIES IN THE PLACE WHERE THE DATA PROCESSING TAKES PLACE.
2. STORAGE CAPACITY
3. PROCESSING CAPACITY & SPEED
4. LATENCY (LATENCY-THE ABILITY TO PROCESS VERY HIGH VOLUMES OF DATA WITH MINIMAL DELAY).
CHALLENGES OF EDGE COMPUTING
• ESTABLISHING MINI/MICRO DATA CENTERS
• SECURITY OF DEVICES & DATA
• QUALITY & SPEED OF NETWORK (5G)
BENEFITS OF EDGE COMPUTING
• BETTER PERFORMANCE-DECREAMENT IN LATENCY, IMPROVED CAPACITY
• SECURITY
• DATA EFFICIENT
• LOCALISED SOLUTIONS-MINI/MICRO DATA CENTER
• ENABLES FUTURE TECHNOLOGY-ARTIFICIAL INTELLIGENCE, INTERNET OF THINGS, ROBOTICS