PDP2024 – An Innovative Control Approach for Cyber-Physical Transportation Systems: The Case of Monte-Carlo Workflow Computations
Title
An Innovative Control Approach for Cyber-Physical Transportation Systems: The Case of Monte-Carlo Workflow Computations
Abstract
Contemporarily, in light of the intelligent transportation systems (ITS) sector, the tendency can be observed that the solution of the multi-objective cyber-physical optimization problems with imperfect information takes an increasingly weighted role. In the present scientific work, the authors want to take these developments into account by introducing an innovative cyber-physical architectural design and corresponding the two-stage heuristic computing approach. It is utilized in synergy with the MCSA (Multi-tier Cyber-physical System Architecture) and DCEx architectural principles for the workflow scheduling of Monte-Carlo simulation, which is based on the intelligent and sustainable route-order dispatching process model. Factors such as emissions, transport costs, risks, and the individual weighting of orders are reflected in the model. In particular, the authors define a stochastic ILP-based (Integer Linear Programming) monte-carlo workflow model. They further propose two-stage scheduling heuristic with Delta-HEFT DAG relaxation as first stage and apply state-of-the-art techniques as a part of SCIP framework to solve 2nd 1–0 ILP-based stage; evaluate the performance of the scheduling approach. The authors obtain preliminary results of the second stage behavior using a realistic heterogeneous computing scenario and corresponding constraint structures within MACS simulator engine (Modular Architecture for Complex Computing Systems Analysis). The results from the experiments illustrate moderate complexity of the approach. Scalability of the model looks promising for the applicability in various industry-related scenarios and corresponding computing environments.
This work has been supported by FFG Project Grant Agreement No. 911465.
Further Information
PDP ’24: 32nd Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP) – April 2023 – Pages 153-160 – DOI: https://doi.org/10.1109/PDP62718.2024
Avantgarde II (2023-2024)
Project Description:
Avantgarde II is continuation of the research and development success reached in 2022 – 2023 project. Second phase of the visionary Avantgarde project series will persist on commitment to advancing Eteronix and Austria as a global leader in Industry 4.0 and Intelligent Transportation Systems (ITS) industry sectors. With intensified research and development processes and the establishment of a cutting-edge research laboratory in Parallel and Distributed Computing in 2022, Avantgarde I pioneered with groundbreaking solutions and ideas for the new research projects. In 2024 Eteronix will continue established strategic collaborations with enterprises, research groups, and innovation networks to amplify our impact and trigger positive socio-economic effects internationally and within domestic market. In 2023-2024 Eteronix will continue it’s a pledge to diversity, promoting and supporting young researchers and underrepresented groups. Avantgarde II project will strengthen our international standing, optimized research outputs and evolve new partnerships, shaping a stable global presence.
Project Leader:
Mr. Vladislav Kashanskii, MSc
Target Milestones:
2023, 2024 Intesified research and development processes take place.
This project is performing under FFG Project Grant Agreement No. 911465.
GoodIT 2023 – Intelligent and Sustainable Transportation through Multi-Objective Model for the Logistic Route-Order Dispatching System
Title
Intelligent and Sustainable Transportation through Multi-Objective Model for the Logistic Route-Order Dispatching System
Abstract
Solution of multi-objective optimization in the logistics sector have become an integral important part of the Intelligent Transportation System (ITS). In this work we focus on the intelligent and sustainable transportation processes through the design of the multi-objective model for the logistic route-order dispatching system. We consider transportation costs, emissions, order importance and risks for failures, for the logistic route-order dispatching system. We present an Integer Linear Programming (ILP) optimization model and apply state-of-the-art techniques as a part of SCIP framework to solve pilot problem instances and evaluate the performance of the model. We obtain results of solving the model on a single monolithic Google Cloud Compute (GCP) to estimate the time complexity of the solving process in relation to the various problem sizes. The results from the experiments show low complexity of the problems of various sizes. Therefore scalability of the model looks promising for the applicability in various industry-related scenarios and computing environments. In particular, using hybrid-cloud systems and state-of-the-art optimization frameworks such as IBM CPLEX or Gurobi.
This work has been supported by FFG Project Grant Agreement No. 899648. We acknowledge ARCOS Research Group for provisioning of TUCAN HPC cluster for data analysis and computations. This work was partially supported by the Spanish Ministry of Science and Innovation Project “New Data Intensive Computing Methods for High-End and Edge Computing Platforms (DECIDE)” Ref. PID2019-107858GB-I00.
Further Information
GoodIT ’23: Proceedings of the 2023 ACM Conference on Information Technology for Social Good – September 2023 – Pages 530–536 – DOI: https://doi.org/10.1145/3582515.3609578
Avantgarde I (2022-2023)
Project Description:
Avantgarde I is a research and development project implemented in 2022 – 2023 where innovation converges with international leadership and inclusivity. This visionary project signified our unwavering commitment to advancing Eteronix and Austria as a global leader in Industry 4.0 and Intelligent Transportation Systems (ITS) industry sectors. With intensified research and development processes and the establishment of a cutting-edge research laboratory in Parallel and Distributed Computing in 2022, Avantgarde I pioneered with groundbreaking solutions and ideas for the new research projects. In 2023, strategic collaborations with prominent enterprises, research groups, and innovation networks amplied our impact. This project is more than innovation; it’s a pledge to diversity, promoting and supporting young researchers and underrepresented groups. Overall Avantgarde I project has strengthened our international standing, optimized research outputs and has forged new partnerships, shaping a dynamic and vibrant global presence.
Project Leader:
Mr. Vladislav Kashanskii, MSc
Notable Milestones:
2022, 2023 Intesified research and development processes take place.
2022 Establishment of the research laboratory in the field of Parallel and Distributed Computing.
2023 Collaboration with prominent enterprises, research groups and innovation networks.
This project has been implemented under FFG Project Grant Agreement No. 899648.