Multitask Learning-Based Pipeline-Parallel Computation Offloading Architecture for Deep Face Analysis by Faris S. Alghareb, Balqees Talal Hasan

“…Moreover, a speedup of 62.48% is achieved compared to the sequential-based edge computing architecture. Meanwhile, 25.96% speed performance acceleration is realized when implementing the proposed pipeline-parallel architecture only on the server edge compared to the sever sequential implementation. …”
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The Construction of a Stream Service Application with DeepStream and Simple Realtime Server Using Containerization for Edge Computing by Wen-Chung Shih, Zheng-Yao Wang, Endah Kristiani, Yi-Jun Hsieh, Yuan-Hsin Sung, Chia-Hsin Li, Chao-Tung Yang

“…Overall, the findings contribute valuable insights into building efficient edge computing architectures that support real-time video processing and streaming.…”
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Layer ensemble averaging for fault tolerance in memristive neural networks by Osama Yousuf, Brian D. Hoskins, Karthick Ramu, Mitchell Fream, William A. Borders, Advait Madhavan, Matthew W. Daniels, Andrew Dienstfrey, Jabez J. McClelland, Martin Lueker-Boden, Gina C. Adam

“…Abstract Artificial neural networks have advanced due to scaling dimensions, but conventional computing struggles with inefficiencies due to memory bottlenecks. In-memory computing architectures using memristor devices offer promise but face challenges due to hardware non-idealities. …”
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Multi-functional broadband diffractive neural network with a single spatial light modulator by Bolin Li, Yinfei Zhu, Jinlei Fei, Runshi Zheng, Min Gu, Jian Lin

“…Diffractive neural networks (DNNs) are emerging as a novel optical computing architecture that combines wave optics with deep-learning methods for high-speed parallel information processing. …”
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Every Second Counts: Integrating Edge Computing and Service Oriented Architecture for Automatic Emergency Management by Lei Chen, Cristofer Englund

“…Applying the concept of multiaccess edge computing architecture, as well as choreography of the service oriented architecture, the system allows seamless coordination between multiple organizations in a distributed way through standard web services. …”
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Service migration of heterogeneous cloud computing platform by Feng WEI, Fei DING, Pengju JIAO, Yang LI, Yanshan CHEN, Dengyin ZHANG

“…With the rapid development of 5G communication technology,Internet+ and the Internet of things (IoT),cloud computing as an Internet-based virtual resource management and a distributed computing technology,provides services to users in a dynamic,on-demand and measurable manner.The solution of migrating the service platform to the cloud computing platform can realize rapid service deployment and effectively save service innovation and operating cost.With the research of the cloud computing platform-based service migration technology,the China Mobile’s OpenStack-based cloud computing architecture was taken as an example.The technical principles and core points of the mainstream service migration schemes were analyzed,such as offline migration,online migration based on platform functions,online service migration based on the agent block level and online service migration based on agent file level.The general service migration process and method were also given.Finally,three types of online migration schemes were experimentally verified through the actual platform.The technical advantages and adaptation scenarios were analyzed separately to guide the production practice of future business migration.…”
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Twinkle: A GPU-based Binary-lens Microlensing Code with the Contour Integration Method by Suwei Wang, Lile Wang, Subo Dong

“…We have advanced the state of the art by optimizing Twinkle specifically for heterogeneous computing devices by taking into account the unique task and cache memory dispatching patterns of GPUs, while the compatibility with the traditional computing architectures of CPUs is still maintained. Twinkle has demonstrated an acceleration of approximately 2 orders of magnitude (≳10 ^2 ×) on contemporary GPUs. …”
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High-Bandwidth and Energy-Efficient Memory Interfaces for the Data-Centric Era: Recent Advances, Design Challenges, and Future Prospects by Joo-Hyung Chae

“…In the current computing architecture, the memory input and output (I/O) bandwidth is becoming a bottleneck for improving computing performance; therefore, high-bandwidth memory interfaces are essential. …”
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Offloading strategy with edge optimization of time delay and energy consumption in integrated satellite-terrestrial relay network by Meinan ZHANG, Mingqi ZHANG, Fei DING, Hengheng ZHUANG, Hairong MA

“…The integrated satellite-terrestrial relay network (ISTRN) is a necessary part of the next-generation wireless communication system, and has important practical significance for accelerating the construction of my country's air-space-terrestrial integrated network system.In the traditional ISTRN architecture, a large amount of signaling needs to be forwarded to the ground control center for processing, which increases the delay of network control and management.A new cloud fog computing architecture was proposed, which constructs a sub-regional edge fog computing layer between the ground access and the central cloud to improve the flexibility of business flow management and control.Under the cloud network framework, a Q-learning based edge computing offloading strategy was designed, and the offloading performance was evaluated by time delay and energy consumption.Simulation results show that, compared with Min-min algorithm and backtracking algorithm, Q-learning based computational offload algorithm has better performance in terms of time delay and energy consumption, and can achieve a balance between the joint optimization of time delay and energy consumption.…”
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Stability Analysis of the Bat Algorithm Described as a Stochastic Discrete-Time State-Space System by Janusz Piotr Paplinski

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An Improved Physarum polycephalum Algorithm for the Shortest Path Problem by Xiaoge Zhang, Qing Wang, Andrew Adamatzky, Felix T. S. Chan, Sankaran Mahadevan, Yong Deng

“…The problems are solved by hundreds of algorithms, silicon computing architectures and novel substrate, unconventional, computing devices. …”
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A Self-Checking Hardware Journal for a Fault-Tolerant Processor Architecture by Mohsin Amin, Abbas Ramazani, Fabrice Monteiro, Camille Diou, Abbas Dandache

“…Effective rollback recovery is possible thanks to using a hardware journal and chosing a stack computing architecture for the processor core instead of the usual RISC or CISC. …”
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Research on heterogeneous radio access and resource allocation algorithm in vehicular fog computing by Kai XIONG, Supeng LENG, Ke ZHANG, Hao LIU

“…With the development of intelligent transportation and the constant emergence of new vehicular on-board applications,such as automatic driving,intelligent vehicular interaction and safety driving.It is difficult for an independent vehicle to run a wide variety of applications with a large number of computing needs and time delay needs relying on its own limited computing resources.By distributing computing tasks in devices on the edge of the network,fog computing applies virtualization technology,distributed computing technology and parallel computing technology to enable users to dynamically obtain computing power,storage space and other services on demand.Applying fog computing architecture to Internet of vehicles can effectively alleviate the contradiction between the large computing-low delay demands and limited vehicular resources.By analyzing the channel capacity of vehicle-to-vehicle communication,vehicle-infrastructure communication and vehicle-time-delay tolerant network communication,an optimization model of heterogeneous access to multi-service resources for the Internet of vehicles was established,and various vehicle-to-fog resources were jointly dispatched to realize efficient processing of intelligent transportation applications.The simulation results show that the proposed reinforcement learning algorithm can effectively deal with the resource allocation in the heterogeneous vehicular fog architecture.…”
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Multilayer magnetic skyrmion devices for spiking neural networks by Aijaz H Lone, Daniel N Rahimi, Hossein Fariborzi, Gianluca Setti

“…Spintronic devices -based on magnetic solitons, such as the domain wall motion and the skyrmions, have shown a significant potential for applications in energy-efficient data storage and beyond CMOS computing architectures. Based on the magnetic multilayer hetero-structures, we propose a magnetic skyrmion-magnetic tunnel junction device structure, mimicking leaky integrate and fire LIF neuron characteristics. …”
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Cooperative Cloud-Edge Feature Extraction Architecture for Mobile Image Retrieval by Chao He, Gang Ma

“…The existing mobile image retrieval scheme is based on mobile cloud-edge computing architecture. That is, user equipment captures images and uploads the captured image data to the edge server. …”
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Exploring In-Network Computing with Information-Centric Networking: Review and Research Opportunities by Marica Amadeo, Giuseppe Ruggeri

“…Traditional cloud computing and edge computing architectures fall short in providing their required flexibility, scalability, and ultra-low latency. …”
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Blockchain-Assisted Hierarchical Attribute-Based Encryption Scheme for Secure Information Sharing in Industrial Internet of Things by A. Sasikumar, Logesh Ravi, Malathi Devarajan, A. Selvalakshmi, Abdulaziz Turki Almaktoom, Abdulaziz S. Almazyad, Guojiang Xiong, Ali Wagdy Mohamed

“…The analyses and experimental findings show that the proposed blockchain-integrated edge computing architecture is better than the existing schemes in terms of data sharing, data privacy, and security.…”
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CMOS Single-Photon Avalanche Diode Circuits for Probabilistic Computing by William Whitehead, Wonsik Oh, Luke Theogarajan

“…Intrinsically random hardware devices are increasingly attracting attention for their potential use in probabilistic computing architectures. One such device is the single-photon avalanche diode (SPAD) and an associated functional unit, the variable-rate SPAD circuit (VRSC), recently proposed by us as a source of randomness for sampling and annealing Ising and Potts models. …”
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Quantum-Inspired Data Embedding for Unlabeled Data in Sparse Environments: A Theoretical Framework for Improved Semi-Supervised Learning without Hardware Dependence by Shawn Ray

“…In contrast to conventional quantum machine learning methodologies that often rely on quantum hardware, this framework is fully realizable within classical computational architectures, thus bypassing the practical limitations of quantum hardware. …”
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Autonomous Streaming Space Objects Detection Based on a Remote Optical System by V. S. Baranova, V. A. Saetchnikov, A. A. Spiridonov

“…But the speed of the computing architecture and the functions of small optical systems are rapidly developing thus contribute to the use of a dynamic video stream for detecting and initializing space objects. …”
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