Edge Processing vs Hardware Resource Limits
Define and document which onboard AI/automated decision functions are safety-critical to justify resource allocation and satisfy regulatory oversight requirements.
CyberTRIZ analysis · Space contradiction TSI021 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Business Context
Processing data close to its source allows spacecraft to reduce communications demand, make faster decisions, and support autonomous operations. However, extensive edge processing requires processors, memory, storage, power, and thermal capacity that are inherently constrained onboard spacecraft. Expanding hardware resources to accommodate every potential processing requirement can increase mass and system complexity.
Space TRIZ Resolution
Processing resources should be allocated according to time sensitivity and information value. Immediate filtering, classification, and decision tasks can remain onboard, while computationally intensive activities that tolerate delay can move to ground systems or distributed infrastructure. Reconfigurable computing can also allow the same hardware to support different workloads at different times.
Applicable TRIZ Principles
Principle 1 – Segmentation distributes processing according to workload urgency and resource requirements.
Principle 6 – Universality enables common computing resources to support multiple processing functions.
Principle 15 – Dynamics reallocates computing capacity as mission workloads change.
Expected Outcome
Greater onboard processing capability
Lower dedicated hardware requirements
Reduced communications demand
Improved computing-resource utilization
Decision Indicators
Early indicators include:
Every new processing function requires additional dedicated hardware.
Onboard processors remain underused during significant portions of the mission.
Non-time-critical workloads consume constrained spacecraft resources.
Computing requirements drive substantial spacecraft mass or power growth.
Processing cannot migrate between onboard and external resources.