Edge computing has emerged as a paradigm for local computing/processing tasks, reducing the distances over which data transfers are made. Thus, an opportunity is presented for data transfer-intensive, ...

Under the paradigm of edge computing, the enormous data generated at the network edge can be processed locally. To make full utilization of these widely distributed data, we focus on an edge computing ...

Wang et al. Wang and Wang (2021) proposed an optimization strategy for computing resource allocation of massive IoHT devices in cloud-edge computing environment. Yuan et al. Yuan and Zhou (2020) ...

Ohio State University. (2024, May 9). New machine learning algorithm promises advances in computing. ScienceDaily. Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2024 / 05 ...

Online algorithms are central to solving resource allocation and matching challenges in dynamic environments where decisions must be made without complete knowledge of future events.

1. Introduction Memory management is a decades-old research area 24 that is fundamental to the performance of all applications. On modern architectures, memory managers determine a workload’s ability ...

Grid computing resources: Schedule algorithms based on game theory. ScienceDaily . Retrieved May 17, 2025 from www.sciencedaily.com / releases / 2014 / 06 / 140619145928.htm ...