Journal of Systems Architecture: the EUROMICRO Journal

Multi-copy data possession on multi-cloud storage service provides resource-constrained users with a secure and effective way to process data maintenance. To enable integrity for the outsourced data, numerous multi-copy data auditing ...

In this paper, we identify that the existing end-to-end data propagation delay analysis for distributed embedded systems can calculate pessimistic (over-estimated) analysis results when the nodes are synchronized. This is particularly ...

GPUs used in data centers to perform deep learning inference tasks are underutilized. Previous systems tended to deploy a single model on a GPU to ensure that inference tasks met throughput and latency requirements. The rapid increase ...

Hardware accelerated inference is a promising solution for exploiting graph convolutional networks (GCN) in latency-sensitive applications. Existing accelerators overlook an important barrier to widespread adoption: the input data (...

Solidity smart contracts play an important role in enabling interactions and collaborations among users in a decentralized blockchain-based community, and their security has received much attention in the industry. One of the most ...

Hybrid storage systems consist of NAND flash-based solid-state drives (SSDs) and conventional hard disk drives (HDDs). In which, the SSD device commonly acts as a cache for HDDs, to not only reduce overall power consumption, but also ...

The ground transportation systems have been applied and deployed worldwide. However, the growing urbanization and vehicular numbers are overwhelming the ground transportation systems. Pushing urban mobility into the third dimension ...

Nowadays, human-oriented has already become the direction of the development of the intelligent vehicle, among which, the cabin, in constant contact with drivers, is getting more and more attention. Intelligent assisted systems have ...

• A review of sensory technologies inside autonomous vehicles.
• Divided human–...

Deep Neural Network (DNN) models have notably improved the efficiency of machine learning tasks. However, their high storage and computational costs restrict their deployment on resource-limited embedded devices. Knowledge distillation ...

In this paper, we propose a robust communication-efficient decentralized learning algorithm, named RCEDL, to address data heterogeneity, communication heterogeneity and communication efficiency simultaneously in real-world scenarios. ...

Internet of Vehicles (IoV) enables a wealth of modern vehicular applications, such as pedestrian detection, real-time video analytics, etc., that can help to improve traffic efficiency and driving safety. However, these applications ...

Cyber–physical systems (CPS) are often modelled using Simulink to simulate plant and controller behaviour by block diagrams. However, since the incomplete coverage of simulation, design using Simulink alone is insufficient for ensuring ...

In the Internet of Things, the energy efficiency of communications is crucial. Thus, using data-less preambles to detect frames is suboptimal. A preamble-less physical layer named “Quasi-Cyclic Short Packet (QCSP)” proposed a solution. ...

Updatable encryption can support key/ciphertext update functionality, resist key compromise attacks, and be applicable to cloud storage. However, as a type of partitioning strategy, leakage sets or firewalls technique has been adopted ...