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Federated Reinforcement Learning-Based Dynamic Resource Allocation and Task Scheduling in Edge for IoT Applications. [PDF]
Sensors (Basel)Mali S +6 more
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IEEE Transactions on Mobile Computing, 2023
With the rapid development of the Internet of Things (IoT) and the rapid popularization of 5 G networks, the data that needs to be processed in Mobile Crowdsourcing (MCS) system is increasing every day.
Weilong Wang +5 more
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With the rapid development of the Internet of Things (IoT) and the rapid popularization of 5 G networks, the data that needs to be processed in Mobile Crowdsourcing (MCS) system is increasing every day.
Weilong Wang +5 more
semanticscholar +1 more source
IEEE Transactions on Services Computing, 2021
Today's large-scale parallel workflows are often processed on heterogeneous distributed computing platforms. From an economic perspective, computing resource providers should minimize the cost while offering high service quality.
Biao Hu, Zhengcai Cao, Mengchu Zhou
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Today's large-scale parallel workflows are often processed on heterogeneous distributed computing platforms. From an economic perspective, computing resource providers should minimize the cost while offering high service quality.
Biao Hu, Zhengcai Cao, Mengchu Zhou
semanticscholar +1 more source
VIPS: Real-Time Perception Fusion for Infrastructure-Assisted Autonomous Driving
GetMobile Mobile Computing and Communications, 2023Infrastructure-assisted autonomous driving is an emerging paradigm that expects to significantly improve the driving safety of autonomous vehicles. The key enabling technology for this vision is to fuse LiDAR results from the roadside infrastructure and ...
Shuyao Shi +6 more
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Real-time distributed computing
Proceedings of the Fifth IEEE Computer Society Workshop on Future Trends of Distributed Computing Systems, 2002This position paper concerns itself with real-time safety critical distributed systems. It presents a computational model that is appropriate for this type of application and architecture. It then defines a resource allocations scheme based upon fixed priority scheduling.
Neil Audsley, Andy Wellings, Alan Burns
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Proceedings of the IEEE 1988 National Aerospace and Electronics Conference, 2003
The SF1 is a 32-bit computer designed to allow programming of real-time applications in high-level languages. The SF1 is based on specialized smart memories, called stack-frames, built in VLSI. The first implementation will execute more than 10 million complex instructions per second and can switch contexts in a rich environment in 500 nanoseconds. The
R.D. Dixon +4 more
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The SF1 is a 32-bit computer designed to allow programming of real-time applications in high-level languages. The SF1 is based on specialized smart memories, called stack-frames, built in VLSI. The first implementation will execute more than 10 million complex instructions per second and can switch contexts in a rich environment in 500 nanoseconds. The
R.D. Dixon +4 more
openaire +2 more sources
Real-Time Scheduling in Drop Computing
2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 2021The IoT world evolves at a tremendously fast rate, leaving some of the currently employed technologies behind. The modern day user has more and more expectations: high availability and performance, low energy consumption and high privacy standards.
Nistor, Silvia-Elena +6 more
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Alternating real-time computations
Information Processing Letters, 1988Abstract The effect of the number of work tapes on computational power of real-time Turing machines is considered. Well-known results state that k tapes are better than k –1 tapes in the case of deterministic machines and, for nondeterministic ones, two tapes are as good as many tapes. We show that alternating real-time pushdown automata recognize
Maciej Liśkiewicz, Krzysztof Loryś
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