research
∙
08/07/2023
Lossless preprocessing of floating point data to enhance compression
Data compression algorithms typically rely on identifying repeated seque...
share
research
∙
04/14/2023
GreedyGD: Enhanced Generalized Deduplication for Direct Analytics in IoT
Exponential growth in the amount of data generated by the Internet of Th...
research
∙
03/08/2023
Change a Bit to save Bytes: Compression for Floating Point Time-Series Data
The number of IoT devices is expected to continue its dramatic growth in...
research
∙
09/06/2022
An Adaptive Column Compression Family for Self-Driving Databases
Modern in-memory databases are typically used for high-performance workl...
research
∙
02/28/2022
Bonsai: A Generalized Look at Dual Deduplication
Cloud Service Providers (CSPs) offer a vast amount of storage space at c...
research
∙
01/26/2022
Bifrost: Secure, Scalable and Efficient File Sharing System Using Dual Deduplication
We consider the problem of sharing sensitive or valuable files across us...
research
∙
07/19/2021
Energy Efficient Data Recovery from Corrupted LoRa Frames
High frame-corruption is widely observed in Long Range Wide Area Network...
research
∙
05/03/2021
Stream Compression of DLMS Smart Meter Readings
Smart electricity meters typically upload readings a few times a day. Ut...
research
∙
04/30/2021
QoS-Aware Placement of Deep Learning Services on the Edge with Multiple Service Implementations
Mobile edge computing pushes computationally-intensive services closer t...
research
∙
01/13/2021
ZipLine: In-Network Compression at Line Speed
Network appliances continue to offer novel opportunities to offload proc...
research
∙
11/17/2020
Optimal Accuracy-Time Trade-off for Deep Learning Services in Edge Computing Systems
With the increasing demand for computationally intensive services like d...
research
∙
07/22/2020
Yggdrasil: Privacy-aware Dual Deduplication in Multi Client Settings
This paper proposes Yggdrasil, a protocol for privacy-aware dual data de...
research
∙
07/20/2020
Memory-aware Online Compression of CAN Bus Data for Future Vehicular Systems
Vehicles generate a large amount of data from their internal sensors. Th...
research
∙
05/22/2020
Hermes: Enabling Energy-efficient IoT Networks with Generalized Deduplication
With the advent of the Internet of Things (IoT), the ever growing number...
research
∙
01/09/2019
Generalized Deduplication: Bounds, Convergence, and Asymptotic Properties
We study a generalization of deduplication, which enables lossless dedup...
research
∙
04/19/2018