https://hdl.handle.net/2072/355069 www.i2cat.net Mon, 06 Apr 2026 20:39:46 GMT 2026-04-06T20:39:46Z 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/2072/531604 Resource Allocation for Network Slicing in Mobile Networks Banchs, Albert; Costa, Xavier; Sciancalepore, Vincenzo; de Veciana, Gustavo This paper provides a survey of resource allocation for network slicing. We focus on two classes of existing solutions: (i) reservation-based approaches, which allocate resources on a reservation basis, and (ii) share-based approaches, which allocate resources based on static overall shares associated to individual slices. We identify the requirements that a slice-based resource allocation mechanism should satisfy, and evaluate the performance of both approaches against these requirements. Our analysis reveals that reservation-based approaches provide a better level of isolation as well as stricter guarantees, by enabling tenants to explicitly reserve resources, but one must pay a price in terms of efficiency unless reservations can be updated very dynamically; in particular, efficiency falls below 50% when reservations are performed over long timescales. We provide further comparisons in terms of customizability, complexity, privacy and cost predictability, and discuss which approach might be more suitable depending on the network slices' characteristics. We also describe the additional mechanisms required to implement the desired resource allocations while meeting the latency and reliability requirements of the different slice types, and outline some issues for future work. Thu, 10 Dec 2020 00:00:00 GMT https://hdl.handle.net/2072/531604 2020-12-10T00:00:00Z