14 papers · ranked by Valyu relevance
Mohamad Hayek, Martin Golasowski, Stephan Hachinger, Rubén J. García-Hernández + 8 more
Modern data-management frameworks promise a flexible and efficient management of data and metadata across storage backends. However, such claims need to be put to a meaningful test in daily practice. We conjecture that such frameworks should be fit to construct a data backend for workflows which use geographically…
Dinesh Sahu, Nidhi, Shiv Prakash, Tiansheng Yang + 4 more
The increasing adoption of Digital Twins (DTs) in distributed edge computing systems necessitates robust fault tolerance mechanisms to ensure high availability and reliability. This paper presents an adaptive fault tolerance framework designed to maintain the continuous operation of DTs in dynamic and…
Hamid Saeedi, Ali Nouruzi
This paper proposes a cooperative framework for resource allocation in multi-access edge computing (MEC) under a partial task offloading setting, addressing the joint challenges of learning performance and system efficiency in heterogeneous edge environments. In the proposed architecture, selected users act as edge…
Xiao Fu, Yuanyuan Xu, Claudionor Ribeiro da Silva
The recent surge in digital agriculture has generated an emerging demand for scalable, resource-efficient solutions capable of handling both close-range images of agricultural products and high-scale remote-sensing images. Deep learning models have high accuracy, but they are expensive and lack the dynamism to be…
Ray-I Chang, Ting-Wei Hsu, Yen-Ting Chen, Bartłomiej Płaczek + 1 more
Time-Sensitive Networking (TSN), particularly the Time-Aware Shaper (TAS) specified by IEEE 802.1Qbv, is critical for real-time communication in Industrial Sensor Networks (ISNs). However, many TAS scheduling approaches rely on centralized computation and can face scalability bottlenecks in large networks. In addition…
Marius de Arruda Botelho, Cem Ata Baykara, Ali Burak Ünal, Nico Pfeifer + 2 more
Ensuring privacy in distributed machine learning while computing the Area Under the Curve (AUC) is a significant challenge because pooling sensitive test data is often not allowed. Although cryptographic methods can address some of these concerns, they may compromise either scalability or accuracy. In this paper, we…
Salman Khan, Ibrar Ali Shah, Woong-Kee Loh, Javed Ali Khan + 3 more
Fog computing has revolutionized the world by providing its services close to the user premises, which results in reducing the communication latency for many real-time applications. This communication latency has been a major constraint in cloud computing and ultimately causes user dissatisfaction due to slow response…
Kevin Garner, Polykarpos Thomadakis, Nikos Chrisochoides
This paper presents a distributed memory method for anisotropic mesh adaptation that is designed to avoid the use of collective communication and global synchronization techniques. In the presented method, meshing functionality is separated from performance aspects by utilizing a separate entity for each - a multicore…
Samar Awad, Marwa Gamal, Khaled Abd El Salam, Rehab F. Abdel-Kader
With the rapid advancement of fog-cloud computing, task offloading and workflow scheduling have become pivotal in determining system performance and cost efficiency. To address the inherent complexity of this heterogeneous environment, a novel hybrid optimization strategy is introduced, integrating the Improved…
Panagiotis K. Gkonis, Anastasios Giannopoulos, Nikolaos Nomikos, Lambros Sarakis + 4 more
The goal of the study presented in this work is to analyze all recent advances in the context of the computing continuum and meta-operating systems (meta-OSs). The term continuum includes a variety of diverse hardware and computing elements, as well as network protocols, ranging from lightweight Internet of Things…
Lütfiye Özlem Akkan, AbdElRahman Ahmed ElSaid
The rapid development and expansion of the Internet of Things (IoT) ecosystem require managing increasing computational demands with the aid of advanced hierarchical architectures. The integration of a complete four-tier hierarchy-including Mobile, Edge, Fog, and Cloud layers-and the priority requirements are being…
Bahman Arasteh, Seyed Salar Sefati, Huseyin Kusetogullari, Farzad Kiani + 3 more
Efficient task scheduling remains a key challenge in High-Performance Computing and Internet of Things (IoT) systems, where the sequential execution of nested loops often limits parallelism. This paper proposes a hybrid approach that dynamically parallelizes nested loops in heterogeneous IoT environments. The suggested…
Amir Ijaz, Hashem Haghbayan, Ethiopia Nigussie, Juha Plosila + 2 more
Energy-efficient coordination of robotic swarms requires effective integration of task scheduling, motion planning, and communication management, particularly in resource-constrained environments where computation and wireless communication compete for limited energy resources. Existing multi-robot approaches typically…
Peiying Zhang, Ruixin Wang, Yuekai Sun, Yujie Yuan + 1 more
Wireless sensor networks supported by mobile edge computing are increasingly required to process heterogeneous sensing data under stringent latency, reliability, and energy constraints. However, most existing task-offloading studies are still formulated for generic user equipment and primarily focus on uplink…