Browsing by Author "Dustdar, Schahram"

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  • 6G network AI architecture for everyone-centric customized services
    Yang, Yang; Dustdar, Schahram; Shu, Hongfeng (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Mobile communication standards were developed for enhancing transmission and network performance by using more radio resources and improving spectrum and energy efficiency. How to effectively address diverse user requirements ...
  • A data protection focused adaptation engine for distributed video analytics pipelines
    Lachner, Clemens; Laufer, Jan; Dustdar, Schahram; Pohl, Klaus (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    The design, development, deployment, and operation of a distributed Video Analytics Pipeline (VAP) at the edge of the network is highly complex. In the domain of adaptive systems, several solutions are proposed in literature ...
  • Edge computing: the computing infrastructure for the smart megacities of the future
    Motlagh, Naser Hossein; Lovén, Lauri; Cao, Jacky; Liu, Xiaoli; Nurmi, Petteri; Dustdar, Schahram; Tarkoma, Sasu; Su, Xiang (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    This article contributes a research vision for using edge computing to deliver the computing infrastructure for emerging smart megacities, with use cases, key requirements, and reflections on the state of the art. We also ...
  • Edge-based runtime verification for the Internet of Things
    Tsigkanos, Christos; Bersani, Marcello M.; Frangoudis, Pantelis A.; Dustdar, Schahram (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    Complex distributed systems such as the ones induced by Internet of Things (IoT) deployments, are expected to operate in compliance to their requirements. This can be checked by inspecting events flowing throughout the ...
  • Edge-to-cloud sensing and actuation semantics in the industrial Internet of Things
    Vila, Marc; Casamayor Pujol, Víctor; Dustdar, Schahram; Teniente, Ernest (Elsevier, 2022)
    There are billions of devices worldwide deployed, connected, and communicating to other systems. Sensors and actuators, which can be stationary or movable devices. These Edge devices are considered part of the Internet of ...
  • Orchestrating networked machine learning applications using Autosteer
    Wen, Zhenyu; Hu, Haozhen; Yang, Renyu; Qian, Bian; Sham, Ringo W.H.; Rui, Sun; Xu, Jie; Patel, Pankesh; Rana, Omer; Dustdar, Schahram; Ranjan, Rajiv (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    A platform for orchestrating networked machine learning (ML) applications over distributed environments is described. ML applications are transformed into automated pipelines that manage the whole application lifecycle and ...
  • Remote sensing image interpretation with semantic graph-based methods: a survey
    Sun, Shengtao; Dustdar, Schahram; Ranjan, Rajiv; Morgan, Graham; Dong, Yusen; Wang, Lizhe (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    With the significant improvements in Earth observation (EO) technologies, remote sensing (RS) data exhibit the typical characteristics of Big Data. Propelled by the powerful feature extraction capabilities of intelligent ...
  • Toward software-defined networking-based IoT frameworks: a systematic literature review, taxonomy, open challenges and prospects
    Siddiqui, Shahbaz; Hameed, Sufian; Shah, Syed Attique; Ahmad, Ijaz; Aneiba, Adel; Draheim, Dirk; Dustdar, Schahram (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    Internet of Things (IoT) is characterized as one of the leading actors for the next evolutionary stage in the computing world. IoT-based applications have already produced a plethora of novel services and are improving the ...
  • Utilizing AI planning on the edge
    Murturi, Ilir; Egyed, Adam; Dustdar, Schahram (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    The convergence between AI planning techniques and the Internet of Things (IoT) can solve various operational and business challenges. However, IoT systems’ stringent requirements such as latency and scalability have ...

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