Abstract: The invention provides a method of determining an optimal submarine cable path between a starting point and an end point in a target region of Earth's surface. The method includes building a triangulated two-dimensional (2D) manifold model of the target region, creating an objective function based on risk and cost, and minimizing the function to obtain a set of Pareto optimal solutions for deriving a Pareto front. Furthermore, the Pareto front is further optimized by taking into account terrain slope, marine protected areas, and volcanic safety constraints. Finally, an optimal submarine cable path is selected based on the optimized Pareto front and a given condition.

Abstract: A method for determining optimal path arrangements for an infrastructure link between two geographic locations. The method includes modelling a geographic terrain containing the two geographic locations; optimizing an arrangement cost and a repair rate for two or more potential paths based on the modelled geographic terrain, an arrangement cost model, and a repair rate model, taking into account at least two design levels; and determining the optimal path arrangements each including multiple path portions and respective design levels associated with the path portions based on the optimization.

Abstract: A computer-implemented method for determining a path arrangement of an infrastructure link network with a trunk-and-branch topology. The method includes: modelling a geographic terrain including three or more geographic locations that are connectable with each other via an infrastructure link network; determining a cost function associated with a cost for constructing the infrastructure link network that connects the three or more geographic locations; and determining a path arrangement of the infrastructure link network based on the modelled geographic terrain and by optimizing the cost function taking into account one or more constraints. The path arrangement of the infrastructure link network has a trunk-and-branch topology and includes: three or more infrastructure links that connect the three or more geographic locations, and one or more connection points each arranged between two or more of the infrastructure links.

Abstract: A method for resource allocation in a disaggregated data center (DDC), comprising: a reliability model to determine an achievable reliability for a service request to the DDC; a integer linear programming (ILP) model to perform a resource allocation for the service request to the DDC such that maximizing total number of service requests received by the DDC accepted for execution is maximized, while the number of the accepted service requests allocated with backup computing resources is minimized; and a heuristic process to perform a resource allocation for the service request to the DDC such that the least reliable node of each needed computing resource type is allocated but still meeting the reliability requirement of the service request.

Abstract: A method for analyzing survivability of an infrastructure link includes determining an optimal path arrangement of the infrastructure link between two geographic locations; and determining a risk index associated with the determined optimal path arrangement based on one or more quantified cost factors and one or more quantified risk factors associated with the determined optimal path arrangement. The risk index represents a survivability of the infrastructure link.

Abstract: A method for determining optimal path arrangements for an infrastructure link between two geographic locations, in particular, in uneven terrain. The method includes modelling a geographic terrain containing the two geographic locations; optimizing an arrangement cost and a repair rate for two or more potential paths based on the modelled geographic terrain, an arrangement cost model, and a repair rate model, taking into account at least two design levels, wherein the arrangement cost model incorporates direction-dependent factor and direction-independent factor associated with the path arrangements; and determining the optimal path arrangements each including multiple path portions and respective design levels associated with the path portions based on the optimization.

Abstract: The present invention provides a cable network planning method comprising: modelling the prespecified topology as a Steiner tree including a plurality of terminal nodes representing a plurality of cable landing stations (CLSs) to be installed respectively in a plurality of destination regions connected by the cable network, a plurality of Steiner nodes presenting a plurality of branching units (BUs) to be installed in the cable network, and a plurality of edges connecting the terminal nodes and Steiner nodes; constructing a directed acyclic graph (DAG); finding a Steiner minimal tree (SMT) by applying a DAG-Least-Cost-System algorithm; returning coordinates of Steiner nodes, terminal nodes of the SMT as locations of the BUs and the CLSs. The provided method enables inclusion of costs of the Steiner nodes by taking account of Steiner nodes with degree in excess of three such that more flexible BU branching structures and CLS locations alternatives can be considered.

Abstract: The present invention provides a cable planning method based a fast marching method applied with simulated annealing (FMM/SA) algorithm. In the FMM/SA algorithm-based cable planning method, the FMM used to obtain the optimal submarine cable path with the lowest life-cycle cost, and the SA algorithm is used to continuously adjust the weight of each design consideration with the aim to achieve an optimal cable path that is as close as possible to a real-life cable path which has a history of cost-effectiveness and resilience. The set of weights contributed to the optimal cable path is then used as an optimal set of weights of design considerations for cable path planning. The FMM/SA algorithm-based cable planning method can provide a computationally effective approach which has lower computation costs and better performance in generating cable paths with optimal life-cycle cost and reliability.

Abstract: A computer-implemented method and a related system for determining seismic hazard related data. The method includes processing geological/seismological data associated with an area of unknown hazard using a simulation model, and determining simulated ground motion intensity data associated with the area of unknown hazard. The simulation model is determined based on geological/seismological data associated with an area of known hazard and ground motion intensity data associated with the area of known hazard. Alternatively, or additionally, the method includes processing simulated ground motion intensity data associated with the area of unknown hazard with another simulation model.

Abstract: A computer-implemented method and system for determining a path arrangement of an infrastructure link. The method includes receiving one or more inputs each indicative of a constraint; and processing the one or more inputs and a set of data based on a path arrangement determination model. The set of data includes data representing one or more factors affecting the path arrangement. The method also includes determining, based on the processing, the path arrangement of the infrastructure link.

Abstract: A computer-implemented method and system for determining a path arrangement of an infrastructure link. The method includes receiving one or more inputs each indicative of a constraint; and processing the one or more inputs and a set of data based on a path arrangement determination model. The set of data includes data representing one or more factors affecting the path arrangement. The method also includes determining, based on the processing, the path arrangement of the infrastructure link.

Abstract: A computer-implemented method and a related system for determining seismic hazard related data. The method includes processing geological/seismological data associated with an area of unknown hazard using a simulation model, and determining simulated ground motion intensity data associated with the area of unknown hazard. The simulation model is determined based on geological/seismological data associated with an area of known hazard and ground motion intensity data associated with the area of known hazard. Alternatively, or additionally, the method includes processing simulated ground motion intensity data associated with the area of unknown hazard with another simulation model.

Abstract: A method for controlling operation of an autonomous vehicle and a related system includes: comparing, at a remote computing system operably connected with a processor in the autonomous vehicle, a first signal indicative of an environment in which the autonomous vehicle is arranged and a second signal indicative of the environment in which the autonomous vehicle is arranged. The method also includes generating, at the remote computing system, a restriction command to restrict operation of the autonomous vehicle if the comparison indicates that the first signal and the second signal do not correspond. The first signal is generated by the remote computing system based on input received from the processor of the autonomous vehicle. The second signal is a processed signal received from an external computing system operably connected with both the remote computing system and the processor in the autonomous vehicle.

Abstract: A method for controlling operation of an autonomous vehicle includes: comparing, at a remote computing system operably connected with a processor in the autonomous vehicle, a first signal indicative of an environment in which the autonomous vehicle is arranged and a second signal indicative of the environment in which the autonomous vehicle is arranged; and generating a restriction command to restrict operation of the autonomous vehicle if the comparison indicates that the first signal and the second signal do not correspond. The first signal is determined by the processor in the autonomous vehicle and the second signal is determined by the remote computing system.

Abstract: A method for determining an optimal path arrangement of an infrastructure link network, and a related system for performing the method. The method includes modelling a geographic terrain having a plurality of geographic locations to be connected with each other via an infrastructure link network; modelling each of a laying cost and a repair rate as a respective function affecting the optimal path arrangement of the infrastructure link network; applying a respective weighting to each of the functions to determine a minimized cost function; and determining, based on the determined minimized cost function, the optimal path arrangement connecting the plurality of geographical locations. The determined optimal path arrangement of the infrastructure link network includes a trunk-and-branch topology with a plurality of infrastructure links and one or more connection points connecting the infrastructure links.

Abstract: A method for determining an optimal path arrangement of an infrastructure link network, and a related system for performing the method. The method includes modelling a geographic terrain having a plurality of geographic locations to be connected with each other via an infrastructure link network; modelling each of a laying cost and a repair rate as a respective function affecting the optimal path arrangement of the infrastructure link network; applying a respective weighting to each of the functions to determine a minimized cost function; and determining, based on the determined minimized cost function, the optimal path arrangement connecting the plurality of geographical locations. The determined optimal path arrangement of the infrastructure link network includes a trunk-and-branch topology with a plurality of infrastructure links and one or more connection points connecting the infrastructure links.

Abstract: A communication system and method for operating or evaluating the communication system includes powering a plurality of base stations each operating in at least a sleep mode and an active mode, wherein the base station operates in the sleep mode with less power consumption than in the active mode; analyzing an overall power consumption for powering the plurality of base stations with respect to a grade of service of the communication system; and switching at least one of the plurality of base stations to operate between the sleep mode and the active mode based on a result associated with the overall power consumption and/or the grade of service. Each of the plurality of base stations in sleep mode is further arranged to pass a service request to a nearby base station in the plurality of base stations such that the service request is handled by the respective nearby base station.

Abstract: A method for analyzing survivability of an infrastructure link includes determining an optimal path arrangement of the infrastructure link between two geographic locations; and determining a risk index associated with the determined optimal path arrangement based on one or more quantified cost factors and one or more quantified risk factors associated with the determined optimal path arrangement. The risk index represents a survivability of the infrastructure link.

Abstract: A method for operating a communication system and a communication system includes the steps of: powering a plurality of base stations each operating in at least a sleep mode and an active mode, wherein the base station operates in the sleep mode with less power consumption than in the active mode; analyzing an overall power consumption for powering the plurality of base stations with respect to a quality of service of the communication system; and a switching at least one of the plurality of base stations to operate between the sleep mode and the active mode based on a result associated with the overall power consumption and/or the quality of service.

Abstract: A method for controlling operation of an autonomous vehicle includes: comparing, at a remote computing system operably connected with a processor in the autonomous vehicle, a first signal indicative of an environment in which the autonomous vehicle is arranged and a second signal indicative of the environment in which the autonomous vehicle is arranged; and generating a restriction command to restrict operation of the autonomous vehicle if the comparison indicates that the first signal and the second signal do not correspond. The first signal is determined by the processor in the autonomous vehicle and the second signal is determined by the remote computing system.