About the Workshop:
The rapid proliferation of information and communication technologies in almost every sphere of our life has led to a strong diffusion of wireless personal devices (including but not limited to, smartphones, personal computers, tablets, wearable devices, and even smart vehicles), consumer electronic devices and appliances, healthcare monitoring devices, and an unprecedented range of interconnected sensors embedded within these or similar devices, as an indispensable part of the Internet environment. These devices, also referred to as ‘things’, are designed to be largely interconnected in one form or the other and specifically maintain a seamless connectivity across the Internet thus strengthening the emerging yet promising paradigm of the Internet-of-Things (IoT), whose multibillion global market is anticipated to triple in value by the end of year 2020.
This seamless and pervasive sensing and computing generates a massive amount (terabytes, petabytes, exabytes, or even zettabytes) of structured, unstructured, and semi-structured data that requires highly efficacious decentralized approaches of both compute and storage for data accumulation, its adequate processing, in-depth analytics, and knowledge generation with a minimal possible delay. Rendering it to the remote clouds could be beneficial for compute and storage purposes, however, transmitting a considerable amount of data analytics from remote clouds is not only infeasible and uneconomical but also incurs significant delays which cannot meet the stringent latency requirements of a diverse range of critical applications. This has thus called for bringing intelligence near-to-the-edge, a notion referred to as, Edge Computing, which has the ability to ensure that the stringent Quality-of-Service and Quality-of-Experience related performance guarantees of diverse sort of networking applications and services are fully met.