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Πλοήγηση ανά Θέμα "Edge computing"

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Αποτελέσματα 1-20 από 28

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      Adaptive Novelty Detection over Contextual Data Streams at the Edge using One-class Classification 

      Jodelka O., Anagnostopoulos C., Kolomvatsos K. (2021)
      Online novelty detection is an emerging task in Edge Computing trying to identify novel concepts in contextual data streams which should be incorporated into predictive analytics and inferential models locally executed on ...
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      Data Replication and Virtual Machine Migrations to Mitigate Network Overhead in Edge Computing Systems 

      Tziritas N., Koziri M., Bachtsevani A., Loukopoulos T., Stamoulis G., Khan S.U., Xu C.-Z. (2017)
      Several virtual machine (VM) placement algorithms have been proposed and studied in the literature with various scopes such as server consolidation or network cost minimization. In most cases, decisions on VM migrations ...
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      Data-Driven Analytics Task Management at the Edge: A Fuzzy Reasoning Approach 

      Aladwani T., Alghamdi I., Kolomvatsos K., Anagnostopoulos C. (2022)
      Dynamic data-driven applications such as tracking and surveillance have emerged in the Internet of Things (IoT) environments. Such applications rely heavily on data generated by connected devices (e.g., sensors). Consequently, ...
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      A Deep Learning Model for Data Synopses Management in Pervasive Computing Applications 

      Fountas P., Kolomvatsos K., Anagnostopoulos C. (2021)
      Pervasive computing involves the placement of processing units and services close to end users to support intelligent applications that will facilitate their activities. With the advent of the Internet of Things (IoT) and ...
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      Demonstration of NFV for mobile edge computing on an optically disaggregated datacentre in a box 

      Enrico M., Mishra V., Saljoghei A., Bielski M., Pap E., Syrigos I., de Dios O.G., Theodoropoulos D., Pnevmatikatos D.N., Reale A., Syrivelis D., Zervas G., Parsons N., Katrinis K. (2018)
      This demonstrator showcases the hardware and software integration achieved by the dReDBox project [1] towards realization of a novel architecture using dynamically-reconfigurable optical interconnects to create a flexible, ...
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      Demonstration of NFV for mobile edge computing on an optically disaggregated datacentre in a box 

      Enrico M., Mishra V., Saljoghei A., Bielski M., Pap E., Syrigos I., De Dios O.G., Theodoropoulos D., Pnevmatikatos D.N., Reale A., Syrivelis D., Zervas G., Parsons N., Katrinis K. (2018)
      This demonstrator showcases the hardware and software integration achieved by the dReDBox project [1] towards realization of a novel architecture using dynamically-reconfigurable optical interconnects to create a flexible, ...
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      An Ensemble Model for Data Imputation to Support Pervasive Applications 

      Fountas P., Kolomvatsos K. (2022)
      Pervasive Computing (PC) opens up the room for the adoption of devices very close to end users that gives the opportunity to interact with them and execute various applications to facilitate their every day activities. ...
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      Experimental evaluation of a Follow-me MEC Cloud-Native 5G network 

      Tsourdinis T., Makris N., Korakis T. (2021)
      Cloud-native approaches for network functions In the 5G context have been embraced by the community, as they allow flexible management, reconfiguration and monitoring of the network in an end-to-end manner. As network ...
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      Federated Learning Protocols for IoT Edge Computing 

      Foukalas F., Tziouvaras A. (2022)
      In this article, we provide a set of federated learning (FL) protocols for future Internet architectures, which integrate the edge computing with the Internet of Things (IoT) known as 'IoT edge computing.' The proposed ...
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      Fractus: Orchestration of Distributed Applications in the Drone-Edge-Cloud Continuum 

      Grigoropoulos N., Lalis S. (2022)
      Next-generation drone applications will be distributed, including tasks that need to run at the edge or in the cloud and interact with the drone in a smooth way. In this paper, we propose Fractus, an orchestration framework ...
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      Knowledge reuse in edge computing environments 

      Long Q., Kolomvatsos K., Anagnostopoulos C. (2022)
      To cope with the challenge of managing numerous computing devices, humongous data volumes and models in Internet-of-Things environments, Edge Computing (EC) has emerged to serve latency-sensitive and compute-intensive ...
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      Local & Federated Learning at the network edge for efficient predictive analytics 

      Harth N., Anagnostopoulos C., Voegel H.-J., Kolomvatsos K. (2022)
      The ability to perform computation on devices present in the Internet of Things (IoT) and Edge Computing (EC) environments leads to bandwidth, storage, and energy constraints, as most of these devices are limited with ...
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      On minimizing service access latency: Employing MEC on the fronthaul of heterogeneous 5G architectures 

      Makris N., Passas V., Nanis C., Korakis T. (2019)
      Multiple-access Edge Computing (MEC) has been proposed as a means to minimize the user to service path latency, by deploying and operating datacenter resources close to the network edge. The introduction of 5G mobile network ...
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      Optimized analytics query allocation at the edge of the network 

      Karanika A., Soula M., Anagnostopoulos C., Kolomvatsos K., Stamoulis G. (2019)
      The new era of the Internet of Things (IoT) provides the space where novel applications will play a significant role in people’s daily lives through the adoption of multiple services that facilitate everyday activities. ...
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      Planning Computation Offloading on Shared Edge Infrastructure for Multiple Drones 

      Polychronis G., Lalis S. (2022)
      Drones are used in a wide range of applications, which may involve computationally-demanding data processing tasks during the missions. While such heavy tasks can be offloaded to nearby edge-servers, this may not always ...
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      Proactive Attack Detection at the Edge through an Ensemble Deep Learning Model 

      Fountas P., Papathanasaki M., Kolomvatsos K., Tziritas N. (2021)
      The new form of the Web involves numerous devices present in two infrastructures, i.e., the Internet of Things (IoT) and the Edge Computing (EC) infrastructure. IoT devices are adopted to record ambient data and host ...
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      A proactive inference scheme for data-aware decision making in support of pervasive applications 

      Kolomvatsos K. (2022)
      The advent of the Internet of Things (IoT) offers a huge infrastructure where numerous devices can collect and process data retrieved by their environment. Due to the limited computational capabilities of IoT devices, the ...
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      A Proactive Statistical Model Supporting Services and Tasks Management in Pervasive Applications 

      Kolomvatsos K., Anagnostopoulos C. (2022)
      The combination of the Internet of Things (IoT) and Edge Computing (EC) can support intelligent pervasive applications that meet the needs of end users. A challenge is to provide efficient inference models for supporting ...
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      Proactive, Correlation Based Anomaly Detection at the Edge 

      Fountas P., Kolomvatsos K. (2021)
      Data management at the edge of the network is a significant research subject. Devices being active at the Internet of Things (IoT) can collect data and transfer them to a set of edge nodes for further processing. There, ...
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      QoE-Aware Edge Computing Through Service Function Chaining 

      Foukalas F., Tziouvaras A. (2022)
      Mobile multimedia Internet services, such as mobile virtual reality (VR), request for advanced quality of experience (QoE) provision. In the future Internet, such a QoE provision will be leveraged through edge computing, ...
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