The abstract of her disseration is as follows:
Authors: Juanjuan Li, Rui Qin, Cristina Olaverri-Monreal, Radu Prodan, Fei-Yue Wang
Journal: IEEE Transactions on Intelligent Vehicles
Abstract: As part of TIV’s DHW on Vehicle 5.0, this letter introduces a novel concept, Logistics 5.0, to address high complexities in logistics CyberPhysical-Social Systems (CPSS). Building upon the theory of parallel intelligence and leveraging advanced technologies and methods such as blockchain, scenarios engineering, Decentralized Autonomous Organizations and Operations (DAOs), Logistics 5.0 promises to accelerate the paradigm shift towards intelligent and sustainable logistics. First, the parallel logistic framework is proposed, and the logistics ecosystem is discussed. Then, the human-oriented operating systems (HOOS) are suggested to providing intelligent Logistics 5.0 solutions. Logistics 5.0 serves as a critical catalyst in realizing the “6S” objectives, i.e. Safety, Security, Sustainability, Sensitivity, Service, and Smartness, within the logistics industry
Title: A distributed and energy-efficient KNN for EEG classification with dynamic money-saving policy in heterogeneous clusters
Authors: Juan José Escobar, Francisco Rodríguez, Beatriz Prieto, Dragi Kimovski, Andrés Ortiz, and Miguel Damas
Abstract: Due to energy consumption’s increasing importance in recent years, energy-time efficiency is a highly relevant objective to address in High-Performance Computing (HPC) systems, where cost significantly impacts the tasks executed. Among these tasks, classification problems are considered due to their great computational complexity, which is sometimes aggravated when processing high-dimensional datasets. In addition, implementing efficient applications for high-performance systems is not an easy task since hardware must be considered to maximize performance, especially on heterogeneous platforms with multi-core CPUs. Thus, this article proposes an efficient distributed K-Nearest Neighbors (KNN) for Electroencephalogram (EEG) classification that uses minimum Redundancy Maximum Relevance (mRMR) as a feature selection technique to reduce the dimensionality of the dataset. The approach implements an energy policy that can stop or resume the execution of the program based on the cost per Megawatt. Since the procedure is based on the master-worker scheme, the performance of three different workload distributions is also analyzed to identify which one is more suitable according to the experimental conditions. The proposed approach outperforms the classification results obtained by previous works that use the same dataset. It achieves a speedup of 74.53 when running on a multi-node heterogeneous cluster, consuming only 13.38% of the energy consumed by the sequential version. Moreover, the results show that financial costs can be reduced when energy policy is activated and the importance of developing efficient methods, proving that energy-aware computing is necessary for sustainable computing.
Sebastian Uitz and Hannes Dermutz had an amazing time showcasing their highly anticipated game, A Webbing Journey, at the Level Up event at Messe Salzburg on July 1 and 2, 2023. The event was a vibrant gathering of game developers and enthusiasts, providing the perfect platform to connect with fellow game devs and experience many fantastic games.
At our booth, attendees had the opportunity to immerse themselves in the enchanting world of “A Webbing Journey” on the PC, Steam Deck, and Nintendo Switch. Players of all ages were captivated by the game’s endearing storyline and unique gameplay mechanics, embarking on a spider’s extraordinary adventure. The valuable feedback from the event-goers will be crucial in further refining and enhancing the game for its upcoming release.
In addition to the exhilarating gameplay experience, we had the privilege of sitting down for an insightful interview with the FM4 radio channel. It was an incredible opportunity to discuss the inspiration behind “A Webbing Journey” and delve into the game’s captivating features. We’re grateful for the chance to share our journey with a broader audience and promote the excitement surrounding our game.
Sebastian Uitz and Michael Steinkellner showcased their game, A Webbing Journey, at the A1 Austria eSports Festival in the Austria Center Vienna on May 27, 2023. The booth, featuring two PCs, a Steam Deck, and a Nintendo Switch, offered players of all ages a delightful experience. Valuable feedback was gathered, fueling the team’s determination to enhance the game for future events.
We are grateful for the positive response and eagerly await incorporating the feedback received. With its endearing storyline and unique gameplay mechanics, the game continues to build anticipation for its official release, offering an enchanting adventure filled with exploration and heartwarming quests.
Call for Papers
Network-assisted video streaming has become a substantial part of modern multimedia applications, enabling users to access high-quality video content over different networks, including the Internet and wireless networks. Efficiently delivering video content over networks poses numerous challenges, such as limited bandwidth, varying network conditions, heterogeneous end devices, and diverse user preferences. Network-assisted video streaming approaches leverage modern networking technologies, such as Software-Defined Networking (SDN), Network Function Virtualization (NFV), and edge computing, to not only improve the users’ Quality of Experience (QoE) but also enhance network utilization. Read more
Title: Designing A Sustainable Serverless Graph Processing Tool on the Computing Continuum
Authors: Reza Farahani, Sashko Ristov, and Radu Prodan
29th International European Conference on Parallel and Distributed Computing, , LIMASSOL, CYPRUS, 28 August–1 September 2023
Abstract: Graph processing has become increasingly popular and essential for solving complex problems in various domains, like social networks. However, processing graphs at a massive scale poses critical challenges, such as inefficient resource and energy utilization. To bridge such challenges, the Graph-Massivizer project, funded by the Horizon Europe research and innovation program, conducts research and develops a high-performance, scalable, and sustainable platform for information processing and reasoning based on the massive graph (MG) representation of extreme data. This paper presents an initial architectural design for the Choreographer, one of the five Graph-Massivizer tools. We explain Choreographer’s components and their collaboration with other Graph-Massivizer tools. We demonstrate how Choreographer can adopt the emerging serverless computing paradigm to process Basic Graph Operations (BGOs) as serverless functions across the computing continuum efficiently. Moreover, we present an early vision of our federated Function-as-a-Service (FaaS) testbed, which will be used to conduct experiments and assess Choreographer performance.
SWForum.eu: The Way Forward: Workshop on Future Challenges in Software Engineering
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