Janevski, Toni

Preferred name
Janevski, Toni
Official Name
Janevski, Toni
Main Affiliation
Email
tonij@feit.ukim.edu.mk

Settings

Now showing 1 - 4 of 4
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    Mobile Edge Computing services with QoS support model for Next Generation Mobile Networks
    (FEEIT, Skopje, 2022)
    Shuminoski, Tomislav
    ;
    Velichkovska, Bojana
    ;
    This paper presents a novel overview in intelligent multi-access QoS mobile edge computing (MEC) for beyond 5G networks and services. There are many challenges faced by the expansion of Cloud networks and Mobile Networks, which can be solved by providing connectivity at the edge of the network, i.e. with Mobile Edge computing networks. The MEC improves overall network performance and reduces end-to-end service delay. Also, the improved advanced QoS model including Machine Learning (ML) algorithm within for next generation of mobile networks and services are proposed. The purpose of the ML algorithm is to understand the traffic activity and determine how the traffic schedule should be made. Given a set of machines and a set of jobs, the model should compute the processing schedule that minimizes specified metrics. The proposed model combines the most powerful features of both Cloud and Edge computing, independent from any existing and future Radio Access Technology, leading to possible better performance utility networks, lower service delay with high QoS provisioning for many used multimedia service. Finally, this paper gives an overview of the existing Mobile Edge Computing technologies and several existing use cases. Undoubtedly, MEC with QoS support is an innovative network paradigm going in 6G, which can essentially answer many of the existing Mobile Networks’ challenges.
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    Dynamic phosphorus expert system with QoS support algorithms
    (2009-11-24)
    Shuminoski, Tomislav
    ;
    ;
    Naumoski, Zdravko
    ;
    ;
    In this paper we present conceptual model for ecological management system with data acquisition module, combine with telecommunication-routing algorithms for data processing which help to deliver the data to processing station; fast and accurate. Then as a part of this system, the data will be used to build mathematical model for the total phosphorus concentration for short-term period. The total phosphorus (TP) component plays an important role in the functioning of aquatic ecosystem, affecting the whole food web chain that this element is participating. This is why; the protection of the lake must be direction in controlling this kind of ecological hazards. In our case study of the Lake Prespa we used data collected for 16 months period using old style-techniques, we build mathematical model of the total phosphorus component. Presented conceptual system starts with data acquisition with wireless sensors networks using advanced routing algorithms with high-level of QoS provisioning. Later the data is inputted into the model to give reliable information about the ecological status of the lake ecosystem for short period. After the processing the results are available to the decision-maker and environmental management engineers. In future we plan to develop more precision ecological models and telecommunication modules and combine with GIS techniques for better spatial view of the ecosystem.
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    Mobile Edge Computing services with QoS support for beyond 5G Networks – Use Cases
    (2021-09)
    Nunev, David
    ;
    Shuminoski, Tomislav
    ;
    Velichkovska, Bojana
    ;
    This paper presents a novel research in intelligent multi-access QoS mobile edge computing (MEC) for beyond 5G services. Also, the improved advanced QoS model and architecture for beyond 5G systems and services are proposed. The proposed model combines the most powerful features of both Cloud and Edge computing, independent from any existing and future Radio Access Technology, leading to high performance utility networks with high QoS provisioning for any used multimedia modern service over present and future mobile and wireless networks and systems. Moreover, the proposed architecture will allow applications and network services to be executed at the edge part of the network, giving lower end-to-end delay for the end-user services and applications. Finally, this paper gives an overview of the existing Mobile Edge Computing technologies and several use cases. Undoubtedly, MEC is an innovative network paradigm going beyond 5G to cater for the unprecedented growth of computation demands and the ever increasing computation quality of user experience requirements.
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Publication,
    Dynamic phosphorus expert system with QoS support algorithms
    (2009-11-24)
    Shuminoski, Tomislav
    ;
    ;
    Naumoski, Zdravko
    ;
    ;
    In this paper we present conceptual model for ecological management system with data acquisition module, combine with telecommunication-routing algorithms for data processing which help to deliver the data to processing station; fast and accurate. Then as a part of this system, the data will be used to build mathematical model for the total phosphorus concentration for short-term period. The total phosphorus (TP) component plays an important role in the functioning of aquatic ecosystem, affecting the whole food web chain that this element is participating. This is why; the protection of the lake must be direction in controlling this kind of ecological hazards. In our case study of the Lake Prespa we used data collected for 16 months period using old style-techniques, we build mathematical model of the total phosphorus component. Presented conceptual system starts with data acquisition with wireless sensors networks using advanced routing algorithms with high-level of QoS provisioning. Later the data is inputted into the model to give reliable information about the ecological status of the lake ecosystem for short period. After the processing the results are available to the decision-maker and environmental management engineers. In future we plan to develop more precision ecological models and telecommunication modules and combine with GIS techniques for better spatial view of the ecosystem.