Enhancing the Isolation and Performance of Control Planes for Fog Computing

Abstract

Fog computing, which places computing resources close to IoT devices, can offer low latency data processing for IoT applications. With software-defined networking (SDN), fog computing can enable network control logics to become programmable and run on a decoupled control plane, rather than on a physical switch. Therefore, network switches are controlled via the control plane. However, existing control planes have limitations in providing isolation and high performance, which are crucial to support multi-tenancy and scalability in fog computing. In this paper, we present optimization techniques for Linux to provide isolation and high performance for the control plane of SDN. The new techniques are (1) separate execution environment (SE2), which separates the execution environments between multiple control planes, and (2) separate packet processing (SP2), which reduces the complexity of the existing network stack in Linux. We evaluate the proposed techniques on commodity hardware and show that the maximum performance of a control plane increases by four times compared to the native Linux while providing strong isolation.

An Evaluation of Key Adoption Factors towards Using the Fog Technology

“…The limited bandwidth for processing and storing end-user devices is reliant on external processing. Fog technology has improved its potential to offer a better approach to data collection, storage, and hosting [72]. The resources of fog technology can be expanded on demand as the computation of end-user devices is transferred to the network [71,73].…”

An IoT Surveillance System Based on a Decentralised Architecture

“…In [4] the authors, considering that self-awareness, situation awareness, and attention are key enablers of efficient fog and mist computing, explore two central aspects of self-awareness-situation awareness and attention and how they facilitate the assessment of human physiological data in a prototype self-aware health-monitoring cyber-physical system (CPS) infrastructure. In [31] the authors present optimization techniques for Linux to provide isolation and high performance for the control plane of SDN. The new techniques are (1) separate execution environment, and (2) separate packet processing.…”

PEDOT:PSS-modified cotton conductive thread for mass manufacturing of textile-based electrical wearable sensors by computerized embroidery

“…Yarns produced by coatings require complex synthesis and may use toxic compounds in the process [15][16][17]; most importantly, however, surface coatings applied are generally fragile and cannot withstand the mechanically harsh abrasive processes used in the manufacturing of textiles. Because of this, conductive organic yarns reported to date have either been exclusively hand embroidered to incorporate sensors into fabrics or required highly specialized and expensive instruments [18][19][20].…”