Online 3D bin packing with constrained deep reinforcement learning
We solve a challenging yet practically useful variant of 3D Bin Packing Problem (3D-BPP). In
our problem, the agent has limited information about the items to be packed into a single bin …
our problem, the agent has limited information about the items to be packed into a single bin …
Learning practically feasible policies for online 3D bin packing
We tackle the online 3D bin packing problem (3D-BPP), a challenging yet practically useful
variant of the classical bin packing problem. In this problem, the items are delivered to the …
variant of the classical bin packing problem. In this problem, the items are delivered to the …
Kraken: Adaptive container provisioning for deploying dynamic dags in serverless platforms
The growing popularity of microservices has led to the proliferation of online cloud service-
based applications, which are typically modelled as Directed Acyclic Graphs (DAGs) …
based applications, which are typically modelled as Directed Acyclic Graphs (DAGs) …
Nexus: A GPU cluster engine for accelerating DNN-based video analysis
We address the problem of serving Deep Neural Networks (DNNs) efficiently from a cluster
of GPUs. In order to realize the promise of very low-cost processing made by accelerators …
of GPUs. In order to realize the promise of very low-cost processing made by accelerators …
Improving microservice-based applications with runtime placement adaptation
Microservices are a popular method to design scalable cloud-based applications.
Microservice-based applications (μ Apps) rely on message passing for communication and …
Microservice-based applications (μ Apps) rely on message passing for communication and …
Physical Internet, conventional and hybrid logistic systems: a routing optimisation-based comparison using the Eastern Canada road network case study
M Fazili, U Venkatadri, P Cyrus… - International Journal of …, 2017 - Taylor & Francis
The Physical Internet (PI) logistics system is an innovative logistics concept that has been
gathering a lot of attention lately. This system consists of open, modular and shared …
gathering a lot of attention lately. This system consists of open, modular and shared …
Cypress: Input size-sensitive container provisioning and request scheduling for serverless platforms
The growing popularity of the serverless platform has seen an increase in the number and
variety of applications (apps) being deployed on it. The majority of these apps process user …
variety of applications (apps) being deployed on it. The majority of these apps process user …
Analytical problem solving based on causal, correlational and deductive models
J de Mast, SH Steiner, WPM Nuijten… - The American …, 2023 - Taylor & Francis
Many approaches for solving problems in business and industry are based on analytics and
statistical modeling. Analytical problem solving is driven by the modeling of relationships …
statistical modeling. Analytical problem solving is driven by the modeling of relationships …
A Digital Twin Demonstrator to enable flexible manufacturing with robotics: a process supervision case study
S Martinez, A Mariño, S Sanchez… - Production & …, 2021 - Taylor & Francis
Manufacturing companies are facing different challenges. On the one hand, production is
moving from mass-production to mass-customization and personalization. Reconfigurable …
moving from mass-production to mass-customization and personalization. Reconfigurable …
Flexible multi-manned assembly line balancing problem: Model, heuristic procedure, and lower bounds for line length minimization
Assembly lines dedicated to the production of large products often allow multiple workers to
perform tasks simultaneously on the product. Previous works on such multi-manned lines …
perform tasks simultaneously on the product. Previous works on such multi-manned lines …