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=== Edge Computing to the Rescue === Edge Computing brings computational capabilities closer to the consumer of the data. In addition, Edge Computing provides a number of benefits, directly aiding in issues that plague AR/VR devices. Some of these benefit include- * Lessened Network Load * Faster Data Transfer * Decreased Latency * Better Bandwidth * Lowered Energy Consumption * Higher Processing Capability * Faster Responsiveness One of the biggest benefits of Edge Computing is its ability to bring computational abilities and power closer to the users. By utilizing this for computational intensive AR/VR applications, the burden of this is outsourced to Edge Computing. In addition to computational power, Edge Computing can offload workload to distributed clusters, reducing network bottlenecks [7]. Furthermore, Edge Computing provides faster data transfer, better bandwidth, and significantly lessens latency. Factors that influence rendering in a user's virtual space include head rotation, body movement, control commands coming from the user, and virtual space changes. By employing Edge Computing, as depicted below, virtual space changes can be registered by the edge and cloud servers [3]. This would vastly improve speed, responsiveness, and help remove motion sickness some users experience. [[File:VR_Factors_that_Affect_Rendering.jpg]] Factors Determining When and What Rendering Needs to be Performed in VR [3]. As current AR/VR programs are unable to provide interaction of numerous mobile users due to current wireless bottlenecks, by deploying Edge Computing into the mix, we can only image what the future for these devices has in store. Once Edge Computing is integrated into these systems, we could feel like we are actually walking on the Moon, exploring the depths of the ocean, or whatever your imagination has in store.
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