Search results for: INTERNET OF THINGS MOBILE COMPUTING COMPUTER NETWORKS DISTRIBUTED COMPUTING QUALITY OF SERVICE CLOUD COMPUTING

• Jerzy Konorski dr hab. inż.

  People

  Department of Computer Communications

  Jerzy Konorski received his M. Sc. degree in telecommunications from Gdansk University of Technology, Poland, and his Ph. D. degree in computer science from the Polish Academy of Sciences, Warsaw, Poland. In 2007, he defended his D. Sc. thesis at the Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology. He has authored over 150 papers, led scientific projects funded by the European Union,...

• Paweł Czarnul dr hab. inż.

  People

  Department of Computer Architecture, Faculty of Electronics, Telecommunications and Informatics

  Paweł Czarnul obtained a D.Sc. degree in computer science in 2015, a Ph.D. in computer science granted by a council at the Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology in 2003. His research interests include:parallel and distributed processing including clusters, accelerators, coprocessors; distributed information systems; architectures of distributed systems; programming mobile devices....

• Krzysztof Gierłowski dr inż.

  People

  Department of Computer Communications

  Krzysztof Gierłowski received his Ph.D. degree in telecommunications from the Faculty of Electronics, Gdańsk University of Technology (GUT), Poland, in 2018. He is author or co-author of more than 80 scientific papers and reviewer for a number of conferences and journals. Krzysztof Gierłowski took part in major IT-oriented projects, including: EU-funded Polish Future Internet Engineering initiative, PL-LAB2020 Infrastructural...

• Big Data and the Internet of Things in Edge Computing for Smart City

  Publication

  • J. Balicki
  • H. Balicka
  • P. Dryja
  • M. Tyszka

  - Year 2019

  Requests expressing collective human expectations and outcomes from city service tasks can be partially satisfied by processing Big Data provided to a city cloud via the Internet of Things. To improve the efficiency of the city clouds an edge computing has been introduced regarding Big Data mining. This intelligent and efficient distributed system can be developed for citizens that are supposed to be informed and educated by the...

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• Optimization issues in distributed computing systems design

  Publication

  • K. Walkowiak
  • J. Rak

  - Year 2014

  In recent years, we observe a growing interest focused on distributed computing systems. Both industry and academia require increasing computational power to process and analyze large amount of data, including significant areas like analysis of medical data, earthquake, or weather forecast. Since distributed computing systems – similar to computer networks – are vulnerable to failures, survivability mechanisms are indispensable...

• Some Artificial Intelligence Driven Algorithms For Mobile Edge Computing in Smart City

  Publication

  • J. Balicki
  • P. Dryja
  • M. Zakidalski

  - Year 2019

  Smart mobile devices can share computing workload with the computer cloud that is important when artificial intelligence tools support computer systems in a smart city. This concept brings computing on the edge of the cloud, closer to citizens and it can shorten latency. Edge computing removes a crucial drawback of the smart city computing because city services are usually far away from citizens, physically. Besides, we introduced...

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• Mobile Offloading Framework: Solution for Optimizing Mobile Applications Using Cloud Computing

  Publication

  • H. Krawczyk
  • M. Nykiel
  • J. Proficz

  - Year 2015

  Number of mobile devices and applications is growing rapidly in recent years. Capabilities and performance of these devices can be tremendously extended with the integration of cloud computing. However, multiple challenges regarding implementation of these type of mobile applications are known, like differences in architecture, optimization and operating system support. This paper summarizes issues with mobile cloud computing and...

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• Waldemar Korłub dr inż.

  People

  Waldemar Korłub obtained an Eng. degree in 2011, MSc.Eng. degree in 2012 and PhD in Computer Science in 2017 granted by the Faculty of Electronics, Telecommunications and Informatics at Gdansk University of Technology. His research interests include: distributed systems mainly grid and cloud computing platforms, autonomous systems capable of self-optimization, self-management, self-healing and self-protection, artificial intelligence...

• Performance of Noise Map Service Working in Cloud Computing Environment

  Publication

  • K. Marciniuk
  • M. Szczodrak
  • B. Kostek

  - Archives of Acoustics - Year 2016

  In the paper a noise map service designated for the user interested in environmental noise subject is presented. It is based on cloud computing. Noise prediction algorithm and source model, developed for creating acoustic maps, are working in cloud computing environment. In the study issues related to noise modeling of sound propagation in urban spaces are discussed with a special focus on road noise. Examples of results obtained...

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• Mobile Cloud computing architecture for massively parallelizablegeometric computation

  Publication

  • V. Sánchez Ribes
  • H. Mora-Mora
  • A. Sobecki
  • F. José Mora Gimeno

  - COMPUTERS IN INDUSTRY - Year 2020

  Cloud Computing is one of the most disruptive technologies of this century. This technology has been widely adopted in many areas of the society. In the field of manufacturing industry, it can be used to provide advantages in the execution of the complex geometric computation algorithms involved on CAD/CAM processes. The idea proposed in this research consists in outsourcing part of the load to be com- puted in the client machines...

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