A Novel Complex Event Processing Engine for Intelligent Data Analysis in Integrated Information Systems by Dong Wang, Mingquan Zhou, Sajid Ali, Pengbo Zhou, Yusong Liu, Xuesong Wang

“…The performance of existing engines has limited capacity of data processing in distributed computing. Although Complex Event Processing (CEP) has enhanced the capacity of data analysis in information systems, it is still a big challenging task since events are rapidly increasing in diverse applications. …”
Get full text

Intelligent information systems for power grid fault analysis by computer communication technology by Ronglong Xu, Jing Zhang

“…The system incorporates a novel fault diagnosis model, combining advanced communication technologies such as distributed computing, real-time data transmission, cloud computing, and big data analytics, to establish a multi-layered information processing architecture for grid fault analysis. …”
Get full text

A Comparison of Penguin Swarm Optimization Algorithms for Enhancing Network Throughput by Talha Akhtar, Najmi Ghani Haider, Nadeem Kafi Khan, Rashid Uddin

“…With its ability to deliver computing and storage resources at the network's edge, close to device terminals and users, edge computing is an evolving distributed computing approach well-suited for facilitating extensive management of smart devices in the future smart grid. …”
Get full text

Revolutionizing load harmony in edge computing networks with probabilistic cellular automata and Markov decision processes by Dinesh Sahu, Nidhi, Rajnish Chaturvedi, Shiv Prakash, Tiansheng Yang, Rajkumar Singh Rathore, Lu Wang, Sabeen Tahir, Sheikh Tahir Bakhsh

“…Abstract In general, edge computing networks are based on a distributed computing environment and hence, present some difficulties to obtain an appropriate load balancing, especially under dynamic workload and limited resources. …”
Get full text

End-to-End Framework for Identifying Vulnerabilities of Operational Technology Protocols and Their Implementations in Industrial IoT by Matthew Boeding, Michael Hempel, Hamid Sharif

“…The convergence of IT and OT networks has gained significant attention in recent years, facilitated by the increase in distributed computing capabilities, the widespread deployment of Internet of Things devices, and the adoption of Industrial Internet of Things. …”
Get full text

Knowledge Distillation in Object Detection for Resource-Constrained Edge Computing by Arief Setyanto, Theopilus Bayu Sasongko, Muhammad Ainul Fikri, Dhani Ariatmanto, I. Made Artha Agastya, Rakandhiya Daanii Rachmanto, Affan Ardana, In Kee Kim

“…Edge computing, a distributed computing paradigm that places small yet capable computing devices near data sources and IoT sensors, is gaining widespread adoption in various real-world applications, such as real-time intelligent drones, autonomous vehicles, and robotics. …”
Get full text

Learner support in a distributed learning environment:the use of WWW-based teachware packages by Christian Langenbach, Freimut Bodendorf

“…A relatively recent development which has not yet gained widespread acceptance is the use of the World Wide Web (WWW) as a basis and platform for distributed computer assisted teaching and learning. In addition to the advantages outlined with regard to classical CBT, the WWW offers the two advantages of world wide availablity as well as ease of promptly updating courses, but also adds many possibilities of collaborative learning. …”
Get full text

A Methodology of Real-Time Data Fusion for Localized Big Data Analytics by Sohail Jabbar, Kaleem R. Malik, Mudassar Ahmad, Omar Aldabbas, Muhammad Asif, Shehzad Khalid, Kijun Han, Syed Hassan Ahmed

“…The traditional big-data analytical approaches use data clustering as small buckets while providing distributed computation among different child nodes. These approaches bring the issues especially concerning network capacity, specialized tools and applications not capable of being trained in a short period. …”
Get full text

Exploiting Optimal Threshold for Decision Fusion in Wireless Sensor Networks by Zhaohui Yuan, Haiying Xue, Yiqin Cao, Xiangmao Chang

“…Decision fusion has been adopted in a number of sensor systems to deal with sensing uncertainty and enable the sensors to collaborate with each other. It can distribute computation workload and significantly reduces the communication overhead. …”
Get full text

A Fast Optimization Method for Reliability and Performance of Cloud Services Composition Application by Zhao Wu, Naixue Xiong, Yannong Huang, Qiong Gu, Chunyang Hu, Zhongbo Wu, Bo Hang

“…At present the cloud computing is one of the newest trends of distributed computation, which is propelling another important revolution of software industry. …”
Get full text

Investigation of smart grid technologies deployment for energy reliability enhancement in electricity distribution networks by Lukas M.N. Gabriel, John A. Adebisi, Leokadia N.P. Ndjuluwa, Dickson K. Chembe

Get full text

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

“…A computation offloading approach, on the other hand, is leveraged to distribute computation-intensive tasks to the server edge, whereas lightweight computations are offloaded to edge devices, i.e., Raspberry Pi 4. …”
Get full text