Federated Mote Log Search via Segmented Agents
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Solution Overview
Problem
Existing mote networks face challenges in efficiently searching and aggregating log data across multiple, differently administered networks, leading to resource inefficiencies and limited scalability in data management and utilization.
Innovation Solution
The implementation of a method that allows for the creation, transmission, and aggregation of mote-associated logs across networks, including the use of federated log creation agents to combine data from multiple mote networks, enabling efficient data management and search capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If log data is aggregated across multiple mote networks, then data completeness and search capability are improved, but system complexity and resource requirements increase
Solution Approach 1:
The system segments log data management by creating separate log databases for each mote network (first mote network, second mote network, etc.), each managed by its own log creation agent. This segmentation allows independent management of data across different networks while maintaining the ability to aggregate complete data through the federated search mechanism, thus improving data completeness without requiring a single monolithic complex system.
Solution Approach 2:
The search agent acts as an intermediary that receives search requests, determines which log databases to search based on network identifiers, and coordinates the search across multiple distributed log databases. This intermediary approach enables comprehensive data aggregation across multiple networks while distributing the complexity of data management across separate agents rather than requiring a centralized complex system.
2Adaptability or versatility
If federated log search is implemented across multiple networks, then search capability is improved, but processing time and resource consumption increase
Solution Approach 1:
The system performs preliminary actions by having each log creation agent continuously maintain and update local log databases with data from respective mote networks. When a search request arrives, the search agent can immediately query the pre-organized data structures without needing to aggregate or process data in real-time across networks, thus reducing processing time while maintaining comprehensive search capability.
Solution Approach 2:
By segmenting the search process into network-specific log databases managed by separate agents, the system can parallelize search operations across different networks. The search agent determines which networks to query based on the search criteria and network identifiers, enabling simultaneous processing across multiple networks rather than sequential processing, thus reducing overall processing time.
3Productivity
If data is aggregated from multiple mote networks, then data utilization is improved, but energy consumption increases
Solution Approach 1:
The system implements partial action by having log creation agents aggregate and store data from mote networks selectively based on network identifiers and search requirements. Rather than continuously aggregating all possible data from all networks, the system aggregates data in advance for specific networks that may be queried, and the search agent only accesses relevant data based on the search criteria, thus improving data utilization for actual queries while minimizing energy consumption from unnecessary data aggregation.
Data Source
AI summary
Systems or methods may utilize one or more mote-related content logs. By way of example, but not limitation, a system using one or more processing components may be configured (i) to accept input defining a mote-appropriate network search and (ii) to search at least one mote content log of at least one federated log in response to the accepted input, with the at least one federated log stored by a memory, wherein the search may include searching a time series of at least two mote logs that correspond to at least a first mote and a second mote for the accepted input. In certain example implementations, a time series may include at least a portion of at least one mote content log of at least one federated log, or a first mote may correspond to a first physical location and a second mote may correspond to a second physical location.