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Safety-Critical Edge Robotics Architecture with Bounded End-to-End Latency
Edge computing processes data near its source, reducing latency and enhancing security compared to traditional cloud computing while providing its benefits.
Robotics Distributed, Parallel, and Cluster Computing Emerging Technologies D.2.11; C.4; J.7
PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers
In this paper, we present a new method that reformulates point cloud completion as a set-to-set translation problem and design a new model, called PoinTr that adopts a transformer encoder-decoder architecture for point cloud completion.
Ranked #1 on
Point Cloud Completion
on ShapeNet
(Chamfer Distance L2 metric)
Toward Among-Device AI from On-Device AI with Stream Pipelines
We have started migrating the computing locations of intelligence services from cloud servers (traditional AI systems) to the corresponding devices (on-device AI systems).
Frisbee: automated testing of Cloud-native applications in Kubernetes
As more and more companies are migrating (or planning to migrate) from on-premise to Cloud, their focus is to find anomalies and deficits as early as possible in the development life cycle.
Distributed, Parallel, and Cluster Computing
IFogSim2: An Extended iFogSim Simulator for Mobility, Clustering, and Microservice Management in Edge and Fog Computing Environments
Considering simulation as a key to this constraint, various software has been developed that can imitate the physical behaviour of Edge/Fog computing environments.
Distributed, Parallel, and Cluster Computing Performance Software Engineering
Dynamic Service Migration in Mobile Edge Computing Based on Markov Decision Process
In mobile edge computing, local edge servers can host cloud-based services, which reduces network overhead and latency but requires service migrations as users move to new locations.
Distributed, Parallel, and Cluster Computing Networking and Internet Architecture Optimization and Control
ECHO: An Adaptive Orchestration Platform for Hybrid Dataflows across Cloud and Edge
ECHO can schedule the dataflow on different Edge, Fog and Cloud resources, and also perform dynamic task migration between resources.
Distributed, Parallel, and Cluster Computing
Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect
High performance multi-GPU computing becomes an inevitable trend due to the ever-increasing demand on computation capability in emerging domains such as deep learning, big data and planet-scale simulations.
Hardware Architecture Distributed, Parallel, and Cluster Computing Networking and Internet Architecture Performance
Atlas: Hybrid Cloud Migration Advisor for Interactive Microservices
Hybrid cloud provides an attractive solution to microservices for better resource elasticity.
Distributed, Parallel, and Cluster Computing
Characterizing and Optimizing EDA Flows for the Cloud
However, deploying EDA jobs on the cloud requires EDA teams to deeply understand the characteristics of their jobs in cloud environments.
