Edge computing enables users to offload certain computation loads in complex applications to a nearby network consisting of multiple mobile devices such that the mobile devices’ resources can be integrated to afford these complex applications. Due to the social relationships among the owners of mobile devices, networks in edge computing are always complex and consist of multiple sub-networks intersecting

In this paper, we are interested in the energy optimization of hybrid Scratchpad Memory (SPM) which consists of SRAM and Non-Volatile Memory (NVM). We approach the energy optimization by data allocation with the consideration of the impact of program structure like branches. Our method is composed of two stages, i.e., program analysis stage and data allocation stage. In program analysis stage, we design

Wireless network on chip (WiNoC) has been proposed as a promising solution for on-chip interconnection network due to high scalability, high bandwidth, and low latency. However, the variations of traffic pattern distribution and data flow in WiNoCs have made wireless interfaces-equipped routers (WRs) prone to congestion. Congestion is one of the most significant challenges in WiNoCs that reduces network

Indoor localization is an emerging application domain that promises to enhance the way we navigate in various indoor environments, as well as track equipment and people. Wireless signal-based fingerprinting is one of the leading approaches for indoor localization. Using ubiquitous Wi-Fi access points and Wi-Fi transceivers in smartphones has enabled the possibility of fingerprinting-based localization

Traditional centralized virtual memory system design encounters severe scalability problems, which impede the multithreaded applications’ performance increment on many-core systems. In this paper, we propose a decentralized system model to scale the VM systems for many-cores. Our model improves system parallelism by avoiding resource sharing and minimizing state coordination. By applying the model

Graphics processing units (GPUs) can process massive amounts of data efficiently, but the complex computational demands of smart technologies have caused GPUs to consume increasing amounts of power. Moreover, current task scheduling strategies do not consider the loss of energy consumption due to task migration. To reduce GPU power usage, we proposed a dynamic GPU task balance scheduling called coefficient

Power consumption in electronic systems is an essential feature for the management of energy autonomy, performance analysis, and the aging monitoring of components. Thus, several research studies have been devoted to the development of power models and profilers for embedded systems. Each of these models is designed to fit a specific usage context. This paper is a part of a series of works dedicated

Wireless sensor networks (WSNs) with energy harvesting have fascinated the prospectus attention of researchers due to their wide deployment and omnipresent nature in the emerging areas of the Internet of Things (IoT's) and home automation. However, there are a lot of key challenges that affect the performance of WSNs due to their own characteristics. Still, energy constraints remain one of the major

The uncertainties of IoT-edges system and environment make challenges to applications in reliability, stability, and total latency, etc. With edge devices increasingly able to connect to cloud servers from anywhere, applications can potentially perform deployment changing at runtime to improve performance. In this paper, we propose a dynamic-programming based algorithm, named E-ODD, for the on-demand

Due to its attractive characteristics, phase change memory (PCM) has emerged as a promising candidate to be used in main memory of embedded systems in the future. However, the write endurance problem has restricted its application in practical. Discussions regarding on hybrid memory page replacement mechanism have dominated research in recent years. Most existing schemes lack the detection for the

The Information Technology sector has undergone tremendous changes arising due to the emergence and prevalence of Cloud Computing. Microservice Architectures have also been attracting attention from several industries and researchers. Due to the suitability of microservices for the Cloud environments, an increasing number of Cloud applications are now provided as microservices. However, this transition

Currently, GPGPU-Sim has become an important vehicle for academic architecture research. It is a cycle-accurate simulator that models the contemporary graphics processing unit. Machine learning has now been widely used in various applications such as self-driving car, mobile devices, and medication. With the popularity of mobile devices, mobile vendors are interested on porting machine learning or

In automotive/avionic/robot systems, consolidating multiple domains on a powerful SoC is an important trend. From the perspectives of safety and security, each of these domains must execute independently with a self-governed Operating System (OS). Such systems are termed as hybrid multi-OS systems. Generally, in a commonly used hybrid dual-OS system, a real-time OS (RTOS) and a general-purpose OS (GPOS)

Access control technologies are fundamental for addressing the security and privacy requirements of the Internet of Things (IoT). This paper proposes an access control solution for Constrained Application Protocol (CoAP)-based IoT services. The proposed solution considers a network of a single provider that interconnects various IoT endpoints. It leverages the Software-Defined Networking (SDN) paradigm

Cyber Physical Systems (CPS) have increasingly started using Learning Enabled Components (LECs) for performing perception-based control tasks. The simple design approach, and their capability to continuously learn has led to their widespread use in different autonomous applications. Despite their simplicity and impressive capabilities, these components are difficult to assure, which makes their use

Authenticated key agreement (AKA) enables communicating parties to mutually establish a session key, in a way that each entity is assured of the authentication of its peer. Certificateless AKA (CLAKA) protocols are widely designed since they avoid the key escrow problem found in identity-based systems and overcome certificateless management overheads in Public Key Infrastructure (PKI). Furthermore

This paper investigates a mobile edge computing environment for video analysis tasks where edge nodes provide their computation capacities to process the computation intensive tasks submitted by end users. First, we introduce a Cloudlet Assisted Cooperative Task Assignment (CACTA) system that organizes edge nodes that are geographically close to an end user into a cluster to collaboratively work on

Neural networks are increasingly applied into real-time and embedded Artificial Intelligent (AI) systems like autonomous driving system. Such resource-constrained systems cannot support the execution of neural network based tasks due to their high execution overheads on general processors. Hence, we are approaching to design real-time AI applications on embedded systems with CPU and FPGA (Field Programmable

The current ISO/IEC standard of the Ada programming language does not support non-blocking synchronization. The restriction to locks conflicts with Ada’s design goals for program safety and efficiency, because (1) task failure inside a critical section may incur deadlock, and (2) locks stand in the way of scaling parallel programs on multicore architectures. Increased autonomy of software systems and

Recent advances in machine learning, especially techniques such as deep neural networks, are enabling a range of emerging applications. One such example is autonomous driving, which often relies on deep learning for perception. However, deep learning-based perception has been shown to be vulnerable to a host of subtle adversarial manipulations of images. Nevertheless, the vast majority of such demonstrations

Development of critical systems nowadays is hardly achievable without reuse of previous knowledge. Design patterns have an important role in the design of such systems as they define and document common solutions to recurring design problems. However, critical systems such as those that are safety or security related, often require specific assurances that the system is adequate to operate in a given