US 12,591,895 B2Granted

Systems and methods for monitoring services using smart contracts

AssigneeBoost SubscriberCo L.L.C.

InventorsEvan Tedesco, Christopher Ergen, Garo Petrosyan

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Abstract

Examples of the present disclosure describe systems and methods for monitoring services provided by a service provider to a consumer using a smart contract architecture. In one example, smart contract terms are provided to a DeFi application running on a blockchain, and a smart contract (e.g., a SLA smart contract) is constructed on the blockchain. Once the service provider begins providing service to the consumer, the system may monitor the service performance of the service. If the service performance dips below a certain agreed-upon threshold based on the smart contract, a trigger event may occur. Additionally, the analysis of the service performance data may indicate a service deficiency, wherein a remedial action is suggested to the service provider to be applied. The service deficiency and remedial action may be stored on the blockchain for future review.

Claims20

Dependent claims

A distributed system for monitoring services, comprising:

at least one processor of a device;
and
a memory of a device and coupled to the at least one processor, the memory comprising computer executable instructions that, when executed by the at least one processor, perform a method comprising:
receiving at least one contract term, wherein the at least one contract term is in the form of program code;
constructing, on a blockchain, at least one smart contract based on the at least one contract term, wherein constructing the at least one smart contract includes identifying a service level and a threshold correspond to the service level, wherein the at least one smart contract is stored locally at the memory as well as remotely at a server;
receiving service performance data associated with at least one service by a client device of the distributed system, wherein the service performance data is generated by a data collection module of the distributed system, wherein the at least one service includes a communication service, and wherein the service performance data is indicative of a communication quality of the communication service;
analyzing the service performance data, wherein analyzing the service performance data comprises comparing the service performance data to the threshold;
based on the analysis of the service performance data, determining a service location of at least one trigger event associated with the smart contract;
identifying a potential issue at the service location in real time based on the at least one trigger event and the communication quality of the communication service, wherein the potential issue comprises identification of a channel availability, assessment of a bandwidth speed. or evaluation of historical service performance data associated with the service location;
notifying, in real time, the service location of the at least one trigger event and the potential issue to a service provider;
and
providing a service performance solution to address the potential issue at least based on the service performance data.

9 more elements

A computer-implemented method for monitoring service performance using at least one smart contract, comprising:

receiving at least one contract term, wherein the at least one contract term is in the form of program code;
constructing, on a blockchain, at least one smart contract based on the at least one contract term, wherein constructing the at least one smart contract includes identifying a service level and a threshold correspond to the service level, wherein the at least one smart contract is stored locally at a memory of a device of a distributed system as well as remotely at a server of the distributed system;
receiving service performance data associated with at least one service by a client device of the distributed system, wherein the service performance data is generated by a data collection module of the distributed system, wherein the at least one service includes a communication service, and wherein the service performance data is indicative of a communication quality of the communication service;
analyzing the service performance data, wherein analyzing the service performance data comprises comparing the service performance data to the threshold;
based on the analysis of the service performance data, identifying at least one service deficiency;
based on the identification of the at least one service deficiency, determining a service location of at least one trigger event associated with the smart contract;
identifying a potential issue at the service location in real time based on the at least one trigger event and the communication quality of the communication service, wherein the potential issue comprises identification of a channel availability, assessment of a bandwidth speed, or evaluation of historical service performance data associated with the service location;
and
notifying, in real time, the service location of the at least one trigger event and the potential issue to a service provider;
and
providing a service performance solution to address the potential issue at least based on the service performance data.

8 more elements

A non-transitory computer-readable media storing computer executable instructions that when executed cause a computing system to perform a method comprising:

receiving at least one contract term, wherein the at least one contract term is in the form of program code and the at least one contract comprises transmitting a credit from a service provider to a consumer based on the identification of a service deficiency;
constructing, on a blockchain, at least one smart contract based on the at least one contract term, wherein constructing the at least one smart contract includes identifying a service level and a threshold corresponding to the service level, wherein the at least one smart contract is stored locally at a memory of a device of a distributed system as well as remotely at a server of the distributed system;
receiving service performance data associated with at least one service by a client device of the distributed system, wherein the service performance data is generated by a data collection module of the distributed system, wherein the at least one service includes a communication service, and wherein the service performance data is indicative of a communication quality of the communication service;
analyzing the service performance data, wherein analyzing the service performance data comprises comparing the service performance data to the threshold;
based on the analysis of the service performance data, identifying at least one service deficiency;
based on the identification of the at least one service deficiency, determining a service location of at least one trigger event associated with the smart contract;
identifying a potential issue at the service location in real time based on the at least one trigger event and the communication quality of the communication service, wherein the potential issue comprises identification of a channel availability, assessment of a bandwidth speed, or evaluation of historical service performance data associated with the service location;
notifying, in real time, the service location of the at least one trigger event and the potential issue to a service provider;
and
providing a service performance solution to address the potential issue at least based on the service performance data.

7 more elements

Dependencies are inferred from the claim text.

Facts

Application: 17/170,632Filed 8 Feb 2021
Published: US 2022/0253866 A111 Aug 2022
Granted: 31 Mar 2026
Term ends: Not estimatedThe source records don’t support an estimate.

Classification16 codes

G06Q 30/016
Providing customer assistance, e.g. assisting a customer within a business location or via helpdesk: after-sales
G06N 3/08
Neural networks: learning methods
G06N 5/01
Computing arrangements using knowledge-based models: dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
G06N 5/04
Computing arrangements using knowledge-based models: inference or reasoning models