Faculty of Computer Science and Engineering

Permanent URI for this communityhttps://repository.ukim.mk/handle/20.500.12188/5

The Faculty of Computer Science and Engineering (FCSE) within UKIM is the largest and most prestigious faculty in the field of computer science and technologies in Macedonia, and among the largest faculties in that field in the region. The FCSE teaching staff consists of 50 professors and 30 associates. These include many “best in field” personnel, such as the most referenced scientists in Macedonia and the most influential professors in the ICT industry in the Republic of Macedonia.

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    Impact of Dew Computing on Cyber-Physical Systems and IoT
    (IEEE, 2020-09-28)
    Cyber-physical systems and IoT devices are part of today's interconnected networked world and participate in huge data exchange transfer. Owners of related devices and systems tend to use them independently of external systems and in addition, to be autonomous devices and systems that can perform their tasks without any external support. Edge computing refers to devices on the edge of the Internet, as they integrate into a more complex cyber-physical system. The concept of edge computing means that the corresponding cloud and edge servers are always connected to the edge devices and IoT. In the analyzed case, although these devices and systems can work in an integrated environment, they are rather classified into the dew computing concept, giving them an environment for autonomous performance, independent of surrounding devices and systems. This paper elaborates the underlying concept, benefits, market trends and impact of integrating the dew computing concept to the cyber-physical systems and IoT devices.
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    Design of a Non-invasive ECG-based Glucose Measurement System
    (IEEE, 2020-09-28)
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    Guseva, E.
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    Poposka, L.
    Diabetic patients have to pay for each glucose reading with a blood drop and a small fortune. In addition, routine finger pricking is troublesome for diabetic patients because it can lead to scarring. It is no surprise then that the idea that glucose measurement can be done cheaply and in a non-invasive way surpasses the wildest dreams of diabetic patients. The goal of this paper is to present the design of a new technology solution for non-invasive glucose measurement based on processing the electrocardiogram obtained via a light easy-to-wear ECG monitor. We present details on how to develop a service that tracks glucose levels based on real-time ECG monitoring, and using sophisticated machine learning and related technologies. Our initial analysis shows that no similar solution is present on the market today, although several research initiatives are ongoing.
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    What makes Dew computing more than Edge computing for Internet of Things
    (IEEE, 2021-07)
    A lot of research and development activities have been referencing to edge and dew computing solutions for IoT applications, but without determining the deep distinction between these two architectural approaches. Furthermore, there is no clear explanation if dew computing is a special case of edge computing or the opposite. In this paper, we analyze the features of post-cloud architectures to build an IoT solution and clarify the main differences between dew and edge computing approaches. Although the provided analysis covers IoT solutions, still the same principles can be applied more generally.
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    Serverless and Deviceless Dew Computing: Founding an Infrastructureless Computing
    (IEEE, 2021-07)
    Cloud computing provides computing resources on a subscription basis, targeting infrastructure (hardware), platform (hardware plus system software), and software. Although post-cloud computing models bring the computing closer to the user, they still use the same principles to provide computing resources to the requestor. While building applications, designers face challenges to specify optimal computing resources. Serverless computing is the answer from cloud providers to take care about the availability of computing resources to relieve programmers suggesting to concentrate on programming functions to be executed as a service. Deviceless approach goes even further allowing functions to be executed on nearby devices instead of servers. In this sense, we define infrastructureless computing as the architectural approach where the programming is isolated from specifying the infrastructure requirements, as a general platform of serverless and deviceless computing. Moreover, the generalization of this approach initiates a new computing model where the functions are executed on a lower architectural layer instead of the higher one. For example, an edge server or device, can activate smart devices on the dew computing level and distribute computing to devices (embedded systems) on a lower architectural level. An example may be activating smartphones to perform computing tasks while being charged overnight, or using smart devices installed in cars, while parked in a parking lot. This concept enhances the dew computing architectural model making it a sophisticated platform for future architectural models.
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    End-to-end simulation environment for mobile edge computing
    (Elsevier BV, 2022-12)
    Gilly, Katja
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    Bernad, Cristina
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    Roig, Pedro J.
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    Alcaraz, Salvador
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    Performances analysis of resource management techniques and algorithms for edge computing is a crucial step that reveals the effectiveness of edge service placement and migration strategies in terms of delay and usage. To be able to gauge how different optimisations affect the end user quality of experience a holistic approach is needed, so that the end-to-end delay can be measured in a combined setup where the edge infrastructure is integrated in the 5G system architecture. For these purposes we put forward an open source workflow based on the integration of proven simulators as SUMO, OMNeT++ and CloudSim, that will provide the means to create large scale urban mobile simulation environments. This paper discusses the benefits and challenges of such an approach, and provides example results that showcase a few aspects of the potential end-to-end delay analysis by processing the gathered simulation output.
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    Offloading Edge Vehicular Services in Realistic Urban Environments
    (Institute of Electrical and Electronics Engineers (IEEE), 2020-01-09)
    Gilly, Katja
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    Alcaraz, Salvador
    The imminent deployment of 5G and the rapid development of multi-access edge computing standards are demanding advances in terms of vehicular low latency offloading design and modelling proposals. In this paper we describe the functionalities of a high-level multi-access edge computing orchestrator that arranges location based vehicular edge services by the means of hierarchical dynamic resource management. In this way low latency responses can be guaranteed due to the geo-aware and energy efficient service allocation and dynamic migration. The first steps towards the definition of a vehicle to infrastructure communication specification are also provided. We study the efficiency of our proposal applied to an infotainment case study deployed in the city centre of Alicante, Spain. The simulation results obtained show that latencies perceived by vehicles generally range from optimal to first order sub-optimal scales all over the coverage area and that the presented offloading solution energetically scales with the number of hosts at the edge.