Results 31 to 40 of about 6,115,000 (375)

FMNISCF: Fine-Grained Multi-Domain Network Interconnection Security Control Framework

Applied Sciences, 2020
The integrated air-ground multi-domain network provides users with a set of shared infrastructures. Security policies can be defined flexibly in the context of multi-domain network semantics.
Bo Lu, Ruohan Cao, Luyao Tian, Hao Wang, Yueming Lu   +4 more
doaj   +1 more source

Compressed Coded Distributed Computing [PDF]

International Symposium on Information Theory, 2018
Communication overhead is one of the major performance bottlenecks in large-scale distributed computing systems, especially for machine learning applications.
Songze Li, M. Maddah-ali, A. Avestimehr
semanticscholar   +1 more source

Dynamic Trustworthiness Overlapping Community Discovery in Mobile Internet of Things

IEEE Access, 2018
In the mobile Internet of Things (IoT), dynamic community discovery has attracted increasing attention, because it can provide strong reliability and security for mobile IoT applications, such as data forwarding or fusion.
Jirui Li, Xiaoyong Li, Yunquan Gao, Jie Yuan, Binxing Fang   +4 more
doaj   +1 more source

A Comparison of the Use of Pontryagin’s Maximum Principle and Reinforcement Learning Techniques for the Optimal Charging of Lithium-Ion Batteries

Clean Technologies, 2022
Battery systems are one of the most important components for the development of flexible energy storage for future applications. These comprise energy storage in both the mobility sector and stationary applications.
Andreas Rauh, Marit Lahme, Oussama Benzinane   +2 more
doaj   +1 more source

Optimal Control of Distributed Computing Networks with Mixed-Cast Traffic Flows [PDF]

IEEE Conference on Computer Communications, 2018
Distributed computing networks, tasked with both packet transmission and processing, require the joint optimization of communication and computation resources.
Jianan Zhang, Abhishek Sinha, Jaime Llorca, A. Tulino, E. Modiano   +4 more
semanticscholar   +1 more source

Neural Assemblies as Precursors for Brain Function

NeuroSci, 2022
This concept paper gives a narrative about intelligence from insects to the human brain, showing where evolution may have been influenced by the structures in these simpler organisms.
Kieran Greer
doaj   +1 more source

Secure Distributed Computing With Straggling Servers Using Polynomial Codes

IEEE Transactions on Information Forensics and Security, 2019
In this paper, we consider a secure distributed computing scenario in which a master wants to perform matrix multiplication of confidential inputs with multiple workers in parallel.
Heecheol Yang, Jungwoo Lee
semanticscholar   +1 more source

A New Combinatorial Design of Coded Distributed Computing [PDF]

International Symposium on Information Theory, 2018
Coded distributed computing introduced by Li et al. in 2015 is an efficient approach to trade computing power to reduce the communication load in general distributed computing frameworks such as MapReduce. In particular, Li et al.
Nicholas Woolsey, Rong-Rong Chen, Mingyue Ji   +2 more
semanticscholar   +1 more source

Distributed Computing Grid Experiences in CMS [PDF]

, 2005
The CMS experiment is currently developing a computing system capable of serving, processing and archiving the large number of events that will be generated when the CMS detector starts taking data.
Andreeva, J., Anjum, A., Barrass, T., Bonacorsi, D., Bunn, J., Capiluppi, P., Corvo, M., Darmenov, N., De Filippis, N., Donno, F., Donvito, G., Eulisse, G., Fanfani, A., Fanzago, F., Filine, A., Grandi, C., Hernandez, J. M., Innocente, V., Jan, A., Lacapara, S., Legrand, I., Metson, S., Newbold, D., Newman, H., Pierro, A., Silvestris, L., Steenberg, C., Stockinger, H., Taylor, L., Thomas, M., Tuura, L., Van Lingen, F., Wildish, T.   +32 more
core   +1 more source

A Unified Coding Framework for Distributed Computing with Straggling Servers [PDF]

2016 IEEE Globecom Workshops (GC Wkshps), 2016
We propose a unified coding framework for distributed computing with straggling servers, by introducing a tradeoff between "latency of computation" and "load of communication" for some linear computation tasks.
Songze Li, M. Maddah-ali, A. Avestimehr
semanticscholar   +1 more source