Julien Gedeon

Julien Gedeon
Technische Universität Darmstadt | TU · Department of Computer Science (Dept.20)

Doctor of Engineering

About

21
Publications
6,499
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288
Citations

Publications

Publications (21)
Preprint
Full-text available
Common deployment models for Edge Computing are based on (composable) microservices that are offloaded to cloudlets. Runtime adaptations-in response to varying load, QoS fulfillment, mobility, etc.-are typically based on coarse-grained and costly management operations such as resource re-allocation or migration. The services themselves, however, re...
Preprint
Full-text available
Mastering a musical instrument requires time-consuming practice even if students are guided by an expert. In the overwhelming majority of the time, the students practice by themselves and traditional teaching materials, such as videos or textbooks, lack interaction and guidance possibilities. Adequate feedback, however, is highly important to preve...
Article
Full-text available
Edge computing brings computing and storage resources closer to (mobile) end users and data sources, thus bypassing expensive and slow links to distant cloud computing infrastructures. Often leveraged opportunistically, these heterogeneous resources can be used to offload data and computations, enabling upcoming demanding applications such as augme...
Article
To better support emerging interactive mobile applications such as those VR-/AR-based, cloud computing is quickly evolving into a new computing paradigm called edge computing. Edge computing has the promise to bring cloud resources to the network edge to augment the capability of mobile devices in close proximity to the user. One big challenge in e...
Conference Paper
The emerging paradigm of edge computing has proposed cloudlets to offload data and computations from mobile, resource-constrained devices. However, little attention has been paid to the question on where to deploy cloudlets in the context of smart city environments. In this vision paper, we propose to deploy cloudlets on a city-wide scale by levera...
Chapter
Full-text available
The way mobile users store and share their data today is completely decoupled from their current usage context and actual intentions. Furthermore, the paradigm of cloud computing, where all data is placed in distant cloud data centers is seldom questioned. As a result, we are faced with congested networks and high latencies when retrieving data sto...
Conference Paper
Full-text available
Acknowledging the shortcomings of cloud computing , recent research efforts have been devoted to fog computing. Motivated by a rapidly increasing number of devices at the extreme edge of the network that imply the need for timely and local processing, fog computing offers a promising solution to move computational capabilities closer to the data ge...
Conference Paper
Full-text available
The way mobile users store and share their data today is completely decoupled from their current usage context and actual intentions. Furthermore, the paradigm of cloud computing, where all data is placed in distant cloud data centers is seldom questioned. As a result, we are faced with congested networks and high latencies when retrieving data sto...
Conference Paper
Noise pollution is a problem increasingly acknowledged by authorities and governments around the globe. At last year's PhoneSense we presented Noisemap, a participating sensing application to accurately measure noise pollution. Noisemap incorporated frequency calibration to overcome the limited microphone hardware. The challenge remaining is how to...

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