https://hdl.handle.net/2072/355138 Sat, 04 Apr 2026 10:43:00 GMT 2026-04-04T10:43:00Z https://hdl.handle.net/2072/537902 DEMONSTRATIONS OF DIRECT-TO-SATELLITE IOT FOR EARTH OBSERVATIONAPPLICATIONS: REMOTE ROAD TRAFFIC MONITORING WITH IMAGING Marin-de-Yzaguirre, M.; Pagès, J.; Baselga, O.; Calveras, A.; Guixé, P.; Ruiz-de-Azua, J.A. The escalating volume of road users and the increase onsafety demands by the governmental institutions, such as theEU, highlights the need for more widespread and advancedtraffic monitoring systems. Despite the emergence of trafficmonitoring solutions through Earth observation techniques,persistent challenges are evident, particularly in the contextof remote and rural roads. This paper presents an innovativeapproach, integrating ground-based imaging, in-situ Com-puter Vision (CV) and Direct-to-Satellite Internet of Things(DtS-IoT) for a near-real-time, cost-effective traffic moni-toring solution. Focusing on current challenges, this hybridsystem demonstrates to be a tailored response to the demandsof remote traffic monitoring, showcasing feasibility througha proof-of-concept integrated solution. Fri, 12 Jul 2024 00:00:00 GMT https://hdl.handle.net/2072/537902 2024-07-12T00:00:00Z https://hdl.handle.net/2072/531606 Introducing Terrestrial Satellite Resource Orchestration Layer Guija, Daniel; Khalili, Hamzeh; Khodashenas, Pouria Sayyad; Siddiqui, Shuaib Satellite communications is an essential building block of 5G technology to ensure delivery of 5G promises such as ubiquitous connectivity, enhance mobile broadband (eMBB) and massive machine type communication (mMTC). Service providers require seamless connectivity between terrestrial and satellite system, considering the best transport options available according to bandwidth, latency, network conditions and other application-specific requirements. The interworking between terrestrial and satellite is well recognized and promoted in the standardization bodies like 3GPP and ETSI. Full integration foresees coexistence of satellite system, with the radio networks (core and access) as well as computational resources expanded from the core to the network edge. A suite of orchestration of heterogeneous resources is fundamental enabler to realize this vision. This paper focuses on the management and orchestration of heterogeneous resource integrated with MANO-like framework for rapid provisioning of network services. The proposed architecture provides a user-friendly single point of interaction for all stakeholders in the ecosystem, i.e. terrestrial and satellite operators as well as 5G vertical providers, where they can launch and manage end-to-end 5G services. The system allows easy integration of multiple applications (e.g. virtual 5G Core, virtual caching, etc.) as well as solutions provided by radio and satellite vendors (e.g. satellite gateway, small cells, etc.). Thu, 19 Sep 2019 00:00:00 GMT https://hdl.handle.net/2072/531606 2019-09-19T00:00:00Z https://hdl.handle.net/2072/531605 Energy-aware Coflow Scheduling for Sustainable Workload Management Coronado, Estefania; Esposito, Flavio; Ahmad, Sadiya Handling High-Performance Computing (HPC) workflows often requires the orchestration of a collection of parallel flows. Traditional techniques to optimize flow-level metrics do not perform well in optimizing such collections because the network is usually agnostic to application requirements. A Coflow is a recently proposed abstraction that created new opportunities in network scheduling for datacenter networks. However, recent work on coflow scheduling has focused on merely two objectives: decreasing communication time of data-intensive jobs and guaranteeing predictable communication time. In this paper, we take a step further and propose some initial results towards the design of heuristics that optimize also the energy consumption of a data center that hosts HPC jobs. To this aim, we built and released an energy-aware coflow scheduling simulator to the community that helps analyze the tradeoff between energy efficiency and coflow completion time. We also propose two scheduling algorithms that consider coflow completion time, CPU utilization, and energy consumption efficiency. Our initial results using the simulator clarify how each policy should be tuned to the application needs and the computational resources available. Wed, 20 Oct 2021 00:00:00 GMT https://hdl.handle.net/2072/531605 2021-10-20T00:00:00Z https://hdl.handle.net/2072/531602 Network Slicing-aware NFV Orchestration for 5G Service Platforms Carrozzo, Gino; Colman-Meixner, Carlos; Khalili, Hamzeh; Nejabati, Reza; Papageorgiou, Apostolos; Siddiqui, Shuaib; Simeonidou, Dimitra The advent of 5G promises to unleash highly pervasive network coverage and density, increased data rate and capacity, optimized instantiation of virtualized resources in a multi-tenant and multi-service network capable of fulfilling the stringent requirements of various heterogeneous applications. Network slicing is a key enabler of 5G to allow multiple customized and isolated virtual networks upon a single shared physical network infrastructure. In this work, we present a survey of how various network virtualization solutions address slicing, we review the management and orchestration tools available to implement it, and we describe the slicing-aware orchestration platform that we designed for our project (5GCity). Our solution embraces creation of slices of various network elements such as compute nodes, physical networks, radio parts and network edge resources by coordinating different underlying controllers. The platform is being evaluated in three live city pilots (Barcelona, Lucca, and Bristol), already achieving slice creation in a few seconds and control plane latency of a few milliseconds. Thu, 15 Aug 2019 00:00:00 GMT https://hdl.handle.net/2072/531602 2019-08-15T00:00:00Z