We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Classical and quantum compression for edge computing: the ubiquitous data dimensionality reduction.
- Authors
Bagherian, Maryam; Chehade, Sarah; Whitney, Ben; Passian, Ali
- Abstract
Edge computing aims to address the challenges associated with communicating and transferring large amounts of data generated remotely to a data center in a timely and efficient manner. A central pillar of edge computing is local (i.e., at- or near-source) data processing capability so that data transfer to a data center for processing can be minimized. Data compression at the edge is therefore a natural component of edge workflows. We present a survey of data compression algorithms with a focus on edge computing. Not all compression algorithms can accommodate the data type heterogeneity, tight processing and communication time constraints, or energy efficiency requirement characteristics of edge computing. We discuss specific examples of compression algorithms that are being explored in the context of edge computing. We end our review with a brief survey of emerging quantum compression techniques that are of importance in quantum information processing, including the proposed concept of quantum edge computing.
- Subjects
EDGE computing; UBIQUITOUS computing; DATA reduction; PROCESS capability; DATA compression; QUANTUM information science; QUANTUM information theory
- Publication
Computing, 2023, Vol 105, Issue 7, p1419
- ISSN
0010-485X
- Publication type
Article
- DOI
10.1007/s00607-023-01154-0