Peer-to-Peer Data Storage Stability via Group Formation
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Solution Overview
Problem
Peer-to-peer networks face challenges in maintaining high availability and reliability of data storage due to dynamic node participation and intermittent connectivity, with existing strategies lacking effective replica maintenance and stability assurance.
Innovation Solution
A method where peer entities form groups based on stability requirements, with each entity maintaining a group list to monitor stability and adjust the group composition dynamically, ensuring persistent and robust data storage through periodic checks and updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is distributed across multiple peer nodes to improve availability, then system reliability improves, but system complexity increases due to dynamic node participation and intermittent connectivity
Solution Approach 1:
The patent divides data into multiple fragments and distributes them across different peer nodes. Each fragment is stored independently, allowing the system to tolerate node failures while maintaining data availability. The segmentation principle is applied through erasure coding where data is split into n fragments and any k fragments can reconstruct the original data.
Solution Approach 2:
The patent introduces a coordinator node that acts as an intermediary to manage fragment distribution and reconstruction. The coordinator receives requests, identifies available fragments across the network, and coordinates the assembly of reconstructed data. This intermediary simplifies the complexity for end users while maintaining high availability.
2Reliability
If erasure coding is used to split data into fragments for redundancy, then data persistence improves, but computational overhead increases during encoding and decoding operations
Solution Approach 1:
The patent performs erasure coding in advance when data is first uploaded to the network. The encoding operation is executed once during the upload phase, converting the original data into n encoded fragments before distribution. This preliminary action avoids repeated encoding operations during normal read operations, reducing computational overhead for subsequent data access.
3Reliability
If each peer node tracks the availability of multiple other nodes to optimize fragment placement, then data availability improves, but the information management burden increases for each node
Solution Approach 1:
The coordinator node serves as an intermediary that centralizes the tracking of node availability and fragment locations. Instead of each peer node maintaining complex information about other nodes, the coordinator maintains a global view of the network state and makes placement decisions based on this information.
Solution Approach 2:
The system implements feedback mechanisms where peer nodes report their availability status and fragment storage state to the coordinator. The coordinator uses this feedback information to dynamically adjust fragment placement decisions, optimizing for availability while minimizing the information management burden on individual nodes.
4Ease of manufacture
If existing replication strategies are used without dedicated maintenance, then initial data distribution is simplified, but replica stability deteriorates due to node churn in dynamic peer-to-peer environments
Solution Approach 1:
The patent implements periodic monitoring and maintenance of fragment replicas through a background process. This process periodically checks the availability of stored fragments and triggers replacement operations when fragments are found to be unavailable due to node churn. The periodic action maintains replica stability without complicating the initial data distribution process.
Data Source
AI summary
A method for managing storage of data objects in a peer-to-peer system including a plurality of peer entities is provided. For each data object to be stored into the peer-to-peer system, the method including establishing a group of peer entities so that the group meets a stability requirement according to predetermined stability rules, storing the data object into each peer entity of the group, and each peer entity of the group generating and maintaining a group list associated with the data object, which includes the peer entities of the group.