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pro vyhledávání: '"Michalke, Marc"'
Distributed applications based on micro-services in edge computing are becoming increasingly popular due to the rapid evolution of mobile networks. While Kubernetes is the default framework when it comes to orchestrating and managing micro-service-ba
Externí odkaz:
http://arxiv.org/abs/2409.09278
Future 6G networks are expected to heavily utilize machine learning capabilities in a wide variety of applications with features and benefits for both, the end user and the provider. While the options for utilizing these technologies are almost endle
Externí odkaz:
http://arxiv.org/abs/2407.01180
In this paper, we conduct an experimental study to provide a general sense of the application response time implications that inter-cluster communication experiences at the edge at the example of a specific IoT-edge-cloud contiuum solution from the E
Externí odkaz:
http://arxiv.org/abs/2405.16988
When clustering devices at the edge, inter-node latency poses a significant challenge that directly impacts the application performance. In this paper, we experimentally examine the impact that inter-node latency has on application performance by mea
Externí odkaz:
http://arxiv.org/abs/2310.09137
The Message Queuing Telemetry Transport (MQTT) protocol is one of the most widely used IoT protocol solutions. In this work, we are especially interested in open-source MQTT Broker implementations (such as Mosquitto, EMQX, RabbitMQ, VerneMQ, and Hive
Externí odkaz:
http://arxiv.org/abs/2305.13893
The serverless computing model has evolved as one of the key solutions in the cloud for fast autoscaling and capacity planning. In edge computing environments, however, the serverless model is challenged by the system heterogeneity and performance va
Externí odkaz:
http://arxiv.org/abs/2206.02150
Thanks to the latest advances in containerization, the serverless edge computing model is becoming close to reality. Serverless at the edge is expected to enable low latency applications with fast autoscaling mechanisms, all running on heterogeneous
Externí odkaz:
http://arxiv.org/abs/2105.04995
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