873 citations · 971 across the 15 of their papers we have counts for
7 papers · 1 filter
In-Memory Indexed Caching for Distributed Data Processing
Alexandru Uta, Bogdan Ghit, Ankur Dave +2
Powerful abstractions such as dataframes are only as efficient as their underlying runtime system. The de-facto distributed data processing framework, Apache Spark, is poorly suite…
Roadmap for Edge AI: A Dagstuhl Perspective
Aaron Yi Ding, Ella Peltonen, Tobias Meuser +16
Based on the collective input of Dagstuhl Seminar (21342), this paper presents a comprehensive discussion on AI methods and capabilities in the context of edge computing, referred…
A Fresh Look at the Architecture and Performance of Contemporary Isolation Platforms
Vincent van Rijn, Jan S. Rellermeyer
With the ever-increasing pervasiveness of the cloud computing paradigm, strong isolation guarantees and low performance overhead from isolation platforms are paramount. An ideal is…
SGD_Tucker: A Novel Stochastic Optimization Strategy for Parallel Sparse Tucker Decomposition
Hao Li, Zixuan Li, Kenli Li +3
Sparse Tucker Decomposition (STD) algorithms learn a core tensor and a group of factor matrices to obtain an optimal low-rank representation feature for the \underline{H}igh-\under…
Container Density Improvements with Dynamic Memory Extension using NAND Flash
Jan S. Rellermeyer, Maher Amer, Richard Smutzer +1
While containers efficiently implement the idea of operating-system-level application virtualization, they are often insufficient to increase the server utilization to a desirable…
The Coming Age of Pervasive Data Processing
Jan S. Rellermeyer, Sobhan Omranian Khorasani, Dan Graur +1
Emerging Big Data analytics and machine learning applications require a significant amount of computational power. While there exists a plethora of large-scale data processing fram…
MAVIS: Managing Datacenters using Smartphones
Raghav Shankar, Benjamin Kobin, Saurabh Bagchi +2
Distributed monitoring plays a crucial role in managing the activities of cloud-based datacenters. System administrators have long relied on monitoring systems such as Nagios and G…