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Sökning: WFRF:(Lundberg Lars Dr.) > (2019)

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1.
  • Josyula, Sai Prashanth, 1992- (författare)
  • Parallel algorithms for real-time railway rescheduling
  • 2019
  • Licentiatavhandling (övrigt vetenskapligt/konstnärligt)abstract
    • In railway traffic systems, it is essential to achieve a high punctuality to satisfy the goals of the involved stakeholders. Thus, whenever disturbances occur, it is important to effectively reschedule trains while considering the perspectives of various stakeholders. The train rescheduling problem is a complex task to solve, both from a practical and a computational perspective. From the latter perspective, a reason for the complexity is that the rescheduling solution(s) of interest may be dispersed across a large solution space. This space needs to be navigated fast while avoiding portions leading to undesirable solutions and exploring portions leading to potentially desirable solutions. The use of parallel computing enables such a fast navigation of the search tree. Though competitive algorithmic approaches for train rescheduling are a widespread topic of research, limited research has been conducted to explore the opportunities and challenges in parallelizing them.This thesis presents research studies on how trains can be effectively rescheduled while considering the perspectives of passengers along with that of other stakeholders. Parallel computing is employed, with the aim of advancing knowledge about parallel algorithms for solving the problem under consideration.The presented research contributes with parallel algorithms that reschedule a train timetable during disturbances and studies the incorporation of passenger perspectives during rescheduling. Results show that the use of parallel algorithms for train rescheduling improves the speed of solution space navigation and the quality of the obtained solution(s) within the computational time limit.This thesis consists of an introduction and overview of the work, followed by four research papers which present: (1) A literature review of studies that propose and apply computational support for train rescheduling with a passenger-oriented objective; (2) A parallel heuristic algorithm to solve the train rescheduling problem on a multi-core parallel architecture; (3) A conflict detection module for train rescheduling, which performs its computations on a graphics processing unit; and (4) A redesigned parallel algorithm that considers multiple objectives while rescheduling.
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2.
  • Singh, Shailesh Pratap, 1976-, et al. (författare)
  • From Traditional to Next Generation AAA: A reference Architecture for a dedicated IoT Network
  • 2019
  • Ingår i: Proceedings of the IV International Scientific Conference “Convergent Cognitive Information Technologies”.
  • Konferensbidrag (refereegranskat)abstract
    • Emerging scenarios for the “Internet of Things” (IoT) require a dedicated software defined network over the conventional communication network provided by the different service providers and free to use communication methodologies. These IoT networks have their own dedicated requirements, based on the different stakeholders involved in it, which can be realized via dynamic context-based authentication, authorization and accounting (AAA). This AAA needs to be envisaged in a much larger perspective than the current perspective in telecom networks. As part of this study, we have identified a few external stakeholders, who are domain and IoT experts and discussed the various requirements, scenarios and change scenarios for the dedicated IoT networks. Relying on Zachman’s framework, a reference architecture that we call as “Smart AAA agent for dedicated IoT network” is presented to the domain experts and evaluated against their scenarios utilizing a scenario-based software architecture analysis method. The scenarios discussed and utilized for the analysis encompass two ends of the IoT spectrum of requirements. The medical domain scenarios have critical IoT perspective as lives and health of patients is involved, while the enterprise IoT scenarios involve huge scalability and monetizability aspect, which is very important for the industry. With this reference architecture, we demonstrate a system capable of providing a software defined network fulfilling the requirements of a dedicated IoT network as enlisted in scenarios by the external stakeholders. Furthermore, this proposed reference architecture is evaluated with a software architect and matured to its current state and made available for any future research, development or standardization for 5G and next generation networks for the Internet of Things.
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