Daniel Grzonka

Daniel Grzonka
Cracow University of Technology | PK · Institute of Computer Science

B.Eng. Ph.D. (Hons.) in Computer Science

About

19
Publications
8,226
Reads
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294
Citations
Citations since 2016
14 Research Items
287 Citations
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20162017201820192020202120220102030405060
20162017201820192020202120220102030405060

Publications

Publications (19)
Chapter
Full-text available
As cars and other transportation devices become increasingly interconnected, mobility takes on a new meaning, offering new opportunities. The integration of new communications technologies in modern vehicles has generated an enormous variety of data from various communications sources. Hence, there is a demand for intelligent transportation systems...
Book
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Stimulating innovation is one of the most critical challenges of the broader economy. In recent years, events that activate people from various fields to develop innovative solutions or to familiarize themselves with the latest technologies have been very popular. We can also observe that there is a growing demand for geospatial data and tools, whi...
Chapter
Full-text available
Fifth generation mobile networks (5G) will rather supplement than replace current 4G networks by dramatically improving their bandwidth, capacity and reliability. This way, much more demanding use cases that simply are not achievable with today’s networks will become reality - from home entertainment, to product manufacturing and healthcare. Howeve...
Chapter
Full-text available
Body Area Networks (BANs) connect together nodes attached to a human body and transfer the data to an external infrastructure. The wireless communication channel and a variety of miniature sensor devices have lead to many useful applications of BANs, such as healthcare monitoring, military and emergency coordination, rescue services, sports, and en...
Article
Cloud computing (CC) systems are the most popular computational environments for providing elastic and scalable services on a massive scale. The nature of such systems often results in energy-related problems that have to be solved for sustainability, cost reduction, and environment protection. In this paper we defined and developed a set of perfor...
Article
Full-text available
Cloud Computing is one of the most intensively developed solutions for large-scale distributed processing. Effective use of such environments, management of their high complexity and ensuring appropriate levels of Quality of Service (QoS) require advanced monitoring systems. Such monitoring systems have to support the scalability, adaptability and...
Conference Paper
Full-text available
Energy consumption is one of the most important problems in the era of Computational Clouds (CC). CC infrastructures must be elastic and scalable for being accessible by huge population of users in different geographical locations. It means also that CC energy utilization systems must be modern and dynamic in order to reduce the cost of using the c...
Article
Full-text available
This paper presents an overview of techniques developed to improve energy efficiency of grid and cloud computing. Power consumption models and energy usage profiles are presented together with energy efficiency measuring methods. Modeling of computing dynamics is discussed from the viewpoint of system identification theory, indicating basic experim...
Article
Security is a very complex and challenging problem in Cloud organizations. Ensuring the security of operations within the cloud by also enforcing the users' own security requirements, usually results in a complex tradeoff with the efficiency of the overall system.In this paper, we developed a novel architectural model enforcing cloud security, base...
Article
Full-text available
Supervised classification covers a number of data mining methods based on training data. These methods have been successfully applied to solve multi-criteria complex classification problems in many domains, including economical issues. In this paper we discuss features of some supervised classification methods based on decision trees and apply them...
Conference Paper
Full-text available
Task scheduling in large-scale distributed High Performance Computing (HPC) systems environments remains challenging research and engineering problem. There is a need of development of novel advanced scheduling techniques in order to optimise the resource utilisation. In this work, we develop the Agent Supported Non-Deterministic Meta Scheduler for...
Article
Monitoring of the system performance in highly distributed computing environments is a wide research area. In cloud and grid computing, it is usually restricted to the utilization and reliability of the resources. However, in today’s Computational Grids (CGs) and Clouds (CCs), the end users may define the special personal requirements and preferenc...
Article
Full-text available
Over the decades the rapid development of broadly defined computer technologies, both software and hardware is observed. Unfortunately, software solutions are regularly behind in comparison to the hardware. On the other hand, the modern systems are characterized by a high demand for computing resources and the need for customization for the end use...
Conference Paper
Full-text available
The problem of efficient use of computer resources is the actual challenge for many years. Huge progress in the hardware development has left behind the development of software techniques. One of the most popular solutions for this problem is the idea of virtualization, which a natural continuation is cloud computing. Cloud computing is an innovati...
Conference Paper
Full-text available
Task scheduling and resource allocations are the key issues for computational grids. Distributed resources usually work at different autonomous domains with their own access and security policies that impact successful job executions across the domain boundaries. In this paper, we propose an Artificial Neural Network (ANN) approach for supporting t...
Article
Full-text available
Solving many problems in mechanics, engineering, medicine and other (e.g., diffusion tensor magnetic resonance imaging or finite element modeling) requires the efficient solving of algebraic equations. In many cases, such systems are very complex with a large number of linear equations, which are symmetric positive-defined (SPD). This paper is focu...

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Project (1)
Project
to perform a prediction of near future workload, classification of workloads and detection of workload changing through the detection of events based on the analysis of user-generated content and news websites with deep learning techniques. 2. to develop the strategies for dynamically changing the scheduler framework of the data center and test them in simulated and real environments. 3. to make a fine-grained characterization of resources, considering the virtualization payload and determining best virtualization strategies in terms of performance and energy consumption. 4. to define new performance-energy trade off indicators for servers through benchmarking and monitoring techniques.