Artificial intelligence in cloud-based mobile radar computing

M. Коsovets, L. Tovstenko


The introduction of Artificial Intelligence into mobile radar computing based on cloud resources has made it possible to combine radar resources at the stage of receiving, processing and presenting information. The radar system has become integral and flexible. The convergence of mobile applications in portable devices with cloud computing is a revolution in the organization of distributed computing. Attention is paid to the architecture of the client part as a neurocomputer distributed in space with deep learning capabilities. Providing analysis of radar data in Real Time for a mobile platform is very important and its implementation with packet data transmission at different stages accelerate the analysis process.

Problems in programming 2023; 2: 49-58


Service Oriented Architecture (SOA); Sense-Compute-Actuate (SCA); High Performance Computing (HPC); Message Passing Interface (MPI); virtual machine (VM), Machine Learning and Data Analysis (MLDM); Distributed File System (HDFS); Java Database Connectivit

Full Text:



Y. Simmhan, B. Plale, D. Gannon. A survey of data provenance techniques 2005. Computer Science Department, Indiana University, Bloomington IN 47405, 69.

D. Gannon. Theoretical Problems in the Design of Tools to Aid in the Construction of Parallel Programs. 1989. Opportunities and Constraints of Parallel Computing, 39-48. CrossRef

A framework for collecting provenance in data-centric scientific workflows 2006. IEEE International Conference on Web Services (ICWS'06), 427-436.

F. Bodin, P Beckman, D Gannon, S Narayana, SX Yang. Distributed pc++ basic ideas for an object parallel language, 1993. Scientific Programming 2 (3), 7-22. CrossRef

C. Catlett, W.E. Allcock, P. Andrews, R. Aydt, R. Bair, N. Balac, B. Banister, Teragrid: Analysis of organization, system architecture, and middleware enabling new types of applications. 2008. High performance computing and grids in action, 225-249.

Kevin Echton. (2009, June). Things about the Internet of Things In the real world, things matter more than ideas. http://www.rfidjourn-

Pankech Patel, Animech Pyatak, Tiago Teichery "On the way to the development of supplements for the Internet of speeches", New York, USA. 2011, p.5:1-5: 6. CrossRef

Pol Zikopulos. Big Data IBM: What is Big Data., pat 1 and 2. 2012. com/watch?v=B27SpLOOh CrossRef

Е. Akerman and Е. Huizu, "5 technologies, what formed net", Spectrum, IEEE, vol. 48, p. 40-45, June 2011 р. CrossRef

K. H. Bennett, V. T. Rajlich and N. Wilde, "Software Evolution and the Staged Model of the Software Lifecycle", Advances in Computers, Volume 56, Academic Press, pp. 1 - 54, 2002. CrossRef

Gaoyun Chen, Jun Lu and Jian Huang, Zexu Wu, SaaAS - The Mobile Agent based Service for Cloud Computing in Internet Environment. Sixth International Conference on Natural Computation, ICNC 2010, pp. 2935-2939, IEEE, Yantai, Shandong, China, ISBN: 978 1- 4244-5958-2, 2010.

Nancy Wilkins-Diehr, Chaitan Baru, Dennis Gannon, Kate Keahey, John McGee, Marlon Pierce, Rich Wolski, Wenjun Wu: Harnessing clouds and software services for science. Journal Cloud Computing and Software Services, 2010, p.17. CrossRef

M. P. Papazoglou, P. Traverso, S. Dustdar and F. Leymann, Service-Oriented Computing state of the art and research.



  • There are currently no refbacks.