Poster: Implementing Data Reduction at the Middle Point on the Computing Continuum
In the computing continuum paradigm, data is expected to be properly managed from edge to cloud for advanced digital services, in terms of response time, data movement, security including privacy, etc. Then we proposed edge-side common data processing services on the computing continuum, for reducing an amount of data transfer between edge and cloud, in wider such applications. This poster presents our work-in-progress implementation of our proposed depot service by using the Valkey high-performance key-value data store, with an example data compression module. Our initial experiment with an example data compression module shows a negligible overhead of the current prototype and potential use of efficient data collection.
Authors
- Yusuke Tanimura (ORCID: https://orcid.org/0000-0002-9964-4732)
Institutions
- National Institute of Advanced Industrial Science and Technology (JP)
Publication Details
- Published
- 2024-12-04
- DOI
- https://doi.org/10.1109/sec62691.2024.00069
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- New Energy and Industrial Technology Development Organization