Mobile Data Block Distribution with Capacity-Aware Deletion
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Solution Overview
Problem
In existing content distribution systems using inter-vehicle communication, there is a high likelihood that reception vehicles may not be able to acquire sufficient fragment data for restoring original content due to insufficient storage capacity in distribution vehicles and interference from other applications, leading to reduced reliability and increased reliance on cellular communication.
Innovation Solution
The system transmits data blocks with earlier deletion timings to a greater number of mobile bodies, ensuring more opportunities for distribution and collection, and dynamically manages storage by deleting data blocks based on remaining capacity to maintain efficient use of storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data blocks are transmitted to fewer mobile bodies to conserve storage capacity, then storage usage is optimized, but the reliability of content distribution decreases
Solution Approach 1:
The system determines deletion timings for data blocks in advance before distribution occurs. By pre-establishing when data should be deleted from each mobile body, the system ensures that data is transmitted to an appropriate number of mobile bodies while maintaining storage efficiency. This preliminary planning allows the system to balance storage constraints with distribution reliability requirements.
Solution Approach 2:
The system dynamically adjusts the number of mobile bodies receiving each data block based on its deletion timing. Data blocks with earlier deletion timings are transmitted to more mobile bodies, while those with later deletion timings are transmitted to fewer mobile bodies. This dynamic approach allows the system to optimize both storage usage and distribution reliability adaptively.
2Reliability
If data blocks are retained longer in mobile bodies to ensure distribution reliability, then content distribution reliability improves, but storage capacity is consumed
Solution Approach 1:
Deletion timings for data blocks are determined in advance, allowing the system to plan data retention periods before distribution begins. This preliminary determination ensures that mobile bodies know exactly when to delete data, preventing unnecessary storage consumption while maintaining reliability through appropriate retention periods.
Solution Approach 2:
The system varies the retention period (deletion timing) parameter for different data blocks based on distribution requirements. By changing this parameter dynamically, the system can optimize storage usage while ensuring each data block is retained long enough to achieve reliable distribution to the appropriate number of mobile bodies.
3Reliability
If data blocks are transmitted to more mobile bodies to increase distribution opportunities, then content distribution reliability improves, but the complexity of managing deletion timings increases
Solution Approach 1:
The system determines deletion timings for all data blocks before the distribution process begins. This preliminary determination simplifies subsequent management by providing clear, pre-established deletion schedules for each mobile body, reducing the complexity of real-time decision-making during distribution.
Solution Approach 2:
The system divides data content into multiple data blocks, each with its own deletion timing. This segmentation allows independent management of each block's distribution and deletion, simplifying the overall management complexity by breaking down the problem into manageable, independently controllable units.
4Quantity of substance
If data blocks are deleted earlier to optimize storage capacity, then storage efficiency improves, but the time required for complete data transfer increases
Solution Approach 1:
The system determines deletion timings in advance, allowing it to plan the optimal balance between storage efficiency and transfer completion. By knowing when data must be deleted, the system can ensure data is transmitted to sufficient mobile bodies before deletion occurs, preventing delays while maintaining storage efficiency.
Solution Approach 2:
The system dynamically adjusts deletion timings based on the specific characteristics of each data block and distribution requirements. This dynamic approach allows optimization of both storage efficiency and transfer time by adapting deletion schedules to actual distribution needs rather than using fixed deletion policies.
Data Source
AI summary
An information processing apparatus includes a processor that transmits, for each of one or more data blocks, a data block main body and a deletion timing to one or more first mobile bodies in such a way that the earlier the deletion timing of a data block, the greater the number of first mobile bodies as transmission destinations of the data block. The first mobile body transmits or receives one or more first data blocks among the one or more data block by inter-device communication, transmits a part or all of the one or more first data blocks that is received to another apparatus, and deletes the one or more first data blocks according to the deletion timings of each of the one or more first data blocks, depending on a remaining storage capacity.