Cstream: Parallel data stream compression on multicore edge devices
In the burgeoning realm of Internet of Things (IoT) applications on edge devices, data stream
compression has become increasingly pertinent. The integration of added compression …
compression has become increasingly pertinent. The integration of added compression …
A hardware-conscious stateful stream compression framework for iot applications (vision)
Data stream compression has attracted vast interest in emerging IoT (Internet of Things)
applications. However, adopting stream compression on IoT applications is non-trivial due to …
applications. However, adopting stream compression on IoT applications is non-trivial due to …
Parallelizing stream compression for iot applications on asymmetric multicores
Data stream compression attracts much attention recently due to the rise of IoT applications.
Thanks to the balanced computational power and energy consumption, asymmetric …
Thanks to the balanced computational power and energy consumption, asymmetric …
[PDF][PDF] Parallelizing stream compression for iot applications on asymmetric multicores (technical report)
Data stream compression attracts much attention recently due to the rise of IoT applications.
Thanks to the balanced computational power and energy consumption, asymmetric …
Thanks to the balanced computational power and energy consumption, asymmetric …
{TerseCades}: Efficient data compression in stream processing
This work is the first systematic investigation of stream processing with data compression:
we have not only identified a set of factors that influence the benefits and overheads of …
we have not only identified a set of factors that influence the benefits and overheads of …
Data-Aware Adaptive Compression for Stream Processing
Stream processing has been in widespread use, and one of the most common application
scenarios is SQL query on streams. By 2021, the global deployment of IoT endpoints …
scenarios is SQL query on streams. By 2021, the global deployment of IoT endpoints …
An Algorithm for Tunable Memory Compression of Time-Based Windows for Stream Aggregates
V Gulisano - European Conference on Parallel Processing, 2023 - Springer
Cloud-to-edge device continuums transform raw data into insights through data-intensive
processing paradigms such as stream processing and frameworks known as Stream …
processing paradigms such as stream processing and frameworks known as Stream …
Characterization of data compression in datacenters
G Jeong, B Sharma, N Terrell… - … Analysis of Systems …, 2023 - ieeexplore.ieee.org
Data compression has emerged as a promising technique to alleviate the memory, storage,
and network cost with some associated compute overheads in warehouse-scale datacenter …
and network cost with some associated compute overheads in warehouse-scale datacenter …
CompressStreamDB: Fine-grained adaptive stream processing without decompression
Stream processing prevails and SQL query on streams has become one of the most popular
application scenarios. For example, in 2021, the global number of active IoT endpoints …
application scenarios. For example, in 2021, the global number of active IoT endpoints …
Stream-based lossless data compression hardware using adaptive frequency table management
S Yamagiwa, K Marumo, H Sakamoto - … 2015, Kohala, HI, USA, August 31 …, 2016 - Springer
In order to treat BigData efficiently, the communication speed of the inter or the intra data
path equipped on high performance computing systems that needs to treat BigData …
path equipped on high performance computing systems that needs to treat BigData …