Andras Markus

Andras Markus
University of Szeged · Department of Software Engineering

Research assistant

About

15
Publications
5,781
Reads
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88
Citations
Introduction
Andras is currently a PhD student and a research assistant of the University of Szeged, Hungary. His research interest is mainly simulation of IoT-Fog-Cloud systems. He is the main developer of DISSECT-CF-IoT and DISSECT-CF-Fog. If you are interested in what else we deal with, please visit the website of our research group: https://www.sed.inf.u-szeged.hu/iotcloud

Publications

Publications (15)
Article
Full-text available
The Internet of Things (IoT) paradigm is closely coupled with cloud technologies , and the support for managing sensor data is one of the primary concerns of Cloud Computing. IoT-Cloud systems are widely used to manage sensors and different smart devices connected to the cloud, hence a large amount of data is generated by these things that need to...
Article
Full-text available
In the past ten years, the latest advances in Information and Communication Technology had a significant impact on distributed systems by giving birth to paradigms such as Cloud Computing, Fog Computing and the Internet of Things (IoT). The environments they created are closely coupled in most cases: IoT sensors and devices generate data that have...
Conference Paper
Full-text available
The recent advances in Information and Communication Technology had a significant impact on distributed systems by giving birth to novel paradigms like Cloud Computing, Fog Computing and the Internet of Things (IoT). Clouds and fogs have promising properties to serve IoT needs, which require enormous data to be stored, processed and analysed genera...
Conference Paper
Full-text available
The continuously evolving information technology carries requirements to foster cost, resource and energy-aware systems. The Internet of Things is considered as one of the most trending technology, which is often coupled with Cloud or Fog Computing resources that manage the possibly big data generated by smart devices in an effective way. To reduce...
Article
Full-text available
The inevitable evolution of information technology has led to the creation of IoT-Fog-Cloud systems, which combine the Internet of Things (IoT), Cloud Computing and Fog Computing. IoT systems are composed of possibly up to billions of smart devices, sensors and actuators connected through the Internet, and these components continuously generate lar...
Article
Full-text available
Fog computing provides an effective solution to various problems by extending the cloud’s functionality to typically more limited computing units closer to user devices. Fog computing can provide a higher level of user experience due to its geographic and network topology location and distribution. IoT services also need to be managed seamlessly to...
Conference Paper
Full-text available
The latest services of the Internet are expanded to the edge of the network, which led to the emergence of Internet of Things (IoT), where sensors, actuators and smart devices are connected in order to interop-erate with each other. IoT services often deal with a vast amount of raw data, therefore they collaborate by exploiting cloud resource capab...
Chapter
Full-text available
In the past decade novel paradigms appeared in distributed systems, such as Cloud Computing, Fog Computing and the Internet of Things (IoT). Sensors and devices of IoT applications need big data to be stored, processed and analysed, and cloud systems offer suitable and scalable solutions for them. Recently fog nodes are utilized to provide data man...
Chapter
Full-text available
Cloud Computing has become the major candidate for commercial and academic compute infrastructures. Its virtualized solutions enable efficient, high-rate exploitation of computational and storage resources due to recent advances in data centre consolidation. Resources leased from these providers are offered under many pricing schemes which are ofte...
Chapter
Full-text available
In the paradigm of Internet of Things (IoT), sensors, actuators and smart devices are connected to the Internet. Application providers utilize the connectivity of these devices with novel approaches involving cloud computing. Some applications require in depth analysis of the interaction between IoT devices and clouds. Research in this area is faci...
Article
Full-text available
In the age of the Internet of Things (IoT), more and more sensors, actuators and smart devices get connected to the network. Application providers often combine this connectivity with novel scenarios involving cloud computing. Before implementing changes in these large-scale systems, an in-depth analysis is often required to identify governance mod...

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Projects

Projects (2)
Project
Parallel computing platforms have revolutionised the hardware landscape by providing high-performance, low-energy, and specialized (viz. heterogeneous) processing capabilities to a variety of application domains, including mobile, embedded, data-centre and high-performance computing. However, to leverage their potential, system designers must strike a difficult balance in the apportionment of resources to the application components, striving to avoid under- or over-provisions against worst-case utilisation profiles. The entanglement of hardware components in the emerging platforms and the complex behaviour of parallel applications raise conflicting resource requirements, more so in smart, (self-)adaptive and autonomous systems. This scenario presents the hard challenge of understanding and controlling, statically and dynamically, the trade-offs in the usage of system resources, (time, space, energy, and data), also from the perspective of the development and maintenance efforts. Making resource-usage trade-offs at specification, design, implementation, and run time requires profound awareness of the local and global impact caused by parallel threads of applications on individual resources. Such awareness is crucial for academic researchers and industrial practitioners across all European and COST member countries, and, therefore, a strategic priority. Reaching this goal requires acting at two levels: (1) networking otherwise fragmented research efforts towards more holistic views of the problem and the solution; (2) leveraging appropriate educational and technology assets to improve the understanding and management of resources by the academia and industry of underperforming economies, in order to promote cooperation inside Europe and achieve economical and societal benefits.
Project
Cloud Computing offers on-demand access to computational, infrastructure and data resources operated from a remote source. In the current worldwide ICT scenario a constantly growing number of powerful devices join the Internet, significantly impacting on the global traffic volume and foreshadowing a world of smart devices, or things in the Internet of Things perspective, interconnected by the Internet. By addressing the challenges of this vision, the overall goal of this project is to support the proliferation of IoT with the help of fog and cloud technologies. The aim of this OTKA FK 131793 project is to model the behavior of IoT devices and sensors, and to apply this model in simulated environments to enable the analysis of efficient and secure management strategies of IoT applications by performing fundamental research in the area of Fog and Cloud computing and the Internet of Things. This research plans to contribute to the better planning and estimation of IoT application costs by using our proposed solutions.