Servlerless Mobile Edge Computing

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Current mobile networks are not able to support next generation applications that require low latency or that produce large volumes of data that can overwhelm the network infrastructure in a carrier network. Examples include wearable applications that assist individuals cognitive impairments, as well as safety critical applications, such as face recognition applications for airport security and surveillance. These applications require more computational resources than those that are currently available on mobile or embedded devices. The use of servers on the wide-area cloud, however, is also not an option as these applications require low response times, or involve processing of large volumes of data from multiple sensors and cameras. To address these challenges the research community and the telecommunications industry are exploring ways to add computation and storage capabilities to the edge of the network. These approaches, variously referred to as cloudlets, micro data centers, or fog, augment the traditional cloud architecture with an additional layer of servers that are located closer to the end user, typically one-hop away.