Results for Computing

Mobile edge computing (MEC) is an emerging paradigm that integrates computing resources in wireless access networks to process computational tasks in close proximity to mobile users with low latency. In this paper, we propose an online double deep Q networks (DDQN) based learning scheme for task assignment in dynamic MEC networks, which enables multiple distribu…

MEC and other edge computing initiatives address the need to place processing and storage where appropriate, whether a central location or the network’s edge, depending on factors such as applications, traffic type, network conditions, subscriber profile, and operator’s preference. This RCRWireless panel, sponsored by InterDigital, features a conversation revolv…

This paper investigates the task management for cooperative mobile edge computing (MEC), where a set of geographically distributed heterogeneous edge nodes not only cooperate with remote cloud data centers but also help each other to jointly process tasks and support real-time IoT applications at the edge of the network. Especially, we address the challenges in …

MEC and other edge computing initiatives address the need to place processing and storage where appropriate, whether a central location or the network’s edge, depending on factors such as applications, traffic type, network conditions, subscriber profile, and operator’s preference. In this InterDigital sponsored report, RCRWireless explores the evolution of the …

Learning from multi-label data in an interactive framework is a challenging problem as algorithms must withstand some additional constraints: in particular, learning from few training examples in a limited time. A recent study of multi-label classifier behaviors in this context has identified the potential of the ensemble method “Random Forest of Predictive Clus…

Efficient Nearest Neighbor (NN) search in high-dimensional spaces is a foundation of many multimedia retrieval systems. Because it offers low responses times, Product Quantization (PQ) is a popular solution. PQ compresses high-dimensional vectors into short codes using several sub-quantizers, which enables in-RAM storage of large databases. This allows fast answ…

For Internet operators, on-line service providers and end-users, representative operational measurements are crucial to monitor and diagnose the performance of networks and on-line services. While numerous approaches have been proposed to measure performance, only a few works fully adopt an end-user perspective by taking measurements from within web browsers. In…