On the Use of Intelligent Models towards Meeting the Challenges of the Edge Mesh

Abstract

Nowadays, we are witnessing the advent of the Internet of Things (IoT) with numerous devices performing interactions between them or with their environment. The huge number of devices leads to huge volumes of data that demand the appropriate processing. The “legacy” approach is to rely on Cloud where increased computational resources can realize any desired processing. However, the need for supporting real-time applications requires a reduced latency in the provision of outcomes. Edge Computing (EC) comes as the “solver” of the latency problem. Various processing activities can be performed at EC nodes having direct connection with IoT devices. A number of challenges should be met before we conclude a fully automated ecosystem where nodes can cooperate or understand their status to efficiently serve applications. In this article, we perform a survey of the relevant research activities towards the vision of Edge Mesh (EM), i.e., a “cover” of intelligence upon the EC. We present the necessary hardware and discuss research outcomes in every aspect of EC/EM nodes functioning. We present technologies and theories adopted for data, tasks, and resource management while discussing how machine learning and optimization can be adopted in the domain.

Efficient Privacy Preserving Lightweight Cryptography for Multi-hop Clustering in Internet of Vehicles Network

“…In Real-time analysis, fuzzy-based clustering model is also available for in practice. Fuzzy-based clustering model with the accelerated genetic algorithm was introduced for deriving effective working of randomness and fuzziness of multidimensional metadata [25].…”

“…Below Fig. 6 depicts a DoS attack [25]. Hence, IoT frameworks are risk to above mentioned attacks, because of the accompanying reasons [26].…”

A Proactive Statistical Model Supporting Services and Tasks Management in Pervasive Applications

“…The current trend in the EC is the adoption of (micro)servers close to users instead of centralized devices, thus, it is characterized by a significant reduction of the response time [7]. The interested reader can find a survey on the dedicated hardware and data management processes that can be adopted at the EC in [8]. EC can be 'formulated' in an hierarchical model, i.e., defining functions based on distance and resources.…”