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08/29/2023
An Experimental Comparison of Partitioning Strategies for Distributed Graph Neural Network Training
Recently, graph neural networks (GNNs) have gained much attention as a g...
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07/16/2023
PrestigeBFT: Revolutionizing View Changes in BFT Consensus Algorithms with Reputation Mechanisms
This paper proposes PrestigeBFT, a novel leader-based BFT consensus algo...
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06/08/2023
FLEdge: Benchmarking Federated Machine Learning Applications in Edge Computing Systems
Federated Machine Learning (FL) has received considerable attention in r...
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06/05/2023
How Can We Train Deep Learning Models Across Clouds and Continents? An Experimental Study
Training deep learning models in the cloud or on dedicated hardware is e...
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05/28/2023
Analyzing Geospatial Distribution in Blockchains
Blockchains are decentralized; are they genuinely? We analyze blockchain...
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05/23/2023
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey
Graph Neural Networks (GNNs) are an emerging research field. This specia...
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04/11/2023
Partitioner Selection with EASE to Optimize Distributed Graph Processing
For distributed graph processing on massive graphs, a graph is partition...
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04/04/2023
Diba: A Re-configurable Stream Processor
Stream processing acceleration is driven by the continuously increasing ...
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01/15/2023
V-Guard: An Efficient Permissioned Blockchain for Achieving Consensus under Dynamic Memberships in V2X Networks
This paper presents V-Guard, a new permissioned blockchain that achieves...
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01/11/2023
How To Optimize My Blockchain? A Multi-Level Recommendation Approach
Aside from the conception of new blockchain architectures, existing bloc...
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10/14/2022
A Serverless Publish/Subscribe System
Operating a scalable and reliable server application, such as publish/su...
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10/14/2022
i13DR: A Real-Time Demand Response Infrastructure for Integrating Renewable Energy Resources
With the ongoing integration of Renewable Energy Sources (RES), the comp...
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10/04/2022
OrderlessChain: Do Permissioned Blockchains Need Total Global Order of Transactions?
Existing permissioned blockchains often rely on coordination-based conse...
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06/23/2022
The DEBS 2022 Grand Challenge: Detecting Trading Trends in Financial Tick Data
The DEBS Grand Challenge (GC) is an annual programming competition open ...
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04/07/2022
Reaching Consensus in the Byzantine Empire: A Comprehensive Review of BFT Consensus Algorithms
Byzantine fault-tolerant (BFT) consensus algorithms are at the core of p...
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03/23/2022
Out-of-Core Edge Partitioning at Linear Run-Time
Graph edge partitioning is an important preprocessing step to optimize d...
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03/18/2022
Decentralizing Permissioned Blockchain with Delay Towers
Growing excitement around permissionless blockchains is uncovering its l...
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02/18/2022
ESCAPE to Precaution against Leader Failures
Leader-based consensus protocols must undergo a view-change phase to ele...
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02/17/2022
Where Is My Training Bottleneck? Hidden Trade-Offs in Deep Learning Preprocessing Pipelines
Preprocessing pipelines in deep learning aim to provide sufficient data ...
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04/12/2021
Reward Mechanism for Blockchains Using Evolutionary Game Theory
Blockchains have witnessed widespread adoption in the past decade in var...
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03/23/2021
Hybrid Edge Partitioner: Partitioning Large Power-Law Graphs under Memory Constraints
Distributed systems that manage and process graph-structured data intern...
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03/08/2021
Why Do My Blockchain Transactions Fail? A Study of Hyperledger Fabric (Extended version)*
Permissioned blockchain systems promise to provide both decentralized tr...
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01/20/2020
2PS: High-Quality Edge Partitioning with Two-Phase Streaming
Graph partitioning is an important preprocessing step to distributed gra...
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05/31/2019
ParPaRaw: Massively Parallel Parsing of Delimiter-Separated Raw Data
Parsing is essential for a wide range of use cases, such as stream proce...
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04/24/2019
Appliance Event Detection – A Multivariate, Supervised Classification Approach
Non-intrusive load monitoring (NILM) is a modern and still expanding tec...
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03/27/2019
Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools
Deep Learning (DL) has had an immense success in the recent past, leadin...
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03/01/2019
Parallel Index-based Stream Join on a Multicore CPU
There is increasing interest in using multicore processors to accelerate...
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11/13/2018
PanJoin: A Partition-based Adaptive Stream Join
In stream processing, stream join is one of the critical sources of perf...
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10/25/2018
Waveform Signal Entropy and Compression Study of Whole-Building Energy Datasets
Electrical energy consumption has been an ongoing research area since th...
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07/26/2016
