Blockchain SLA Management via Smart Contract Violation Detection
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Solution Overview
Problem
Current SLA management in composite cloud solutions lacks automated monitoring and detection of violations, leading to potential undetected breaches due to complex legal documents and lack of visibility into the composite solution hierarchy, making it difficult to identify the root cause of service level agreement violations.
Innovation Solution
A method utilizing a blockchain network to create private channels for individual SLAs and monitoring service metrics, employing smart contracts to detect violations and determine the root cause by analyzing timelines and dependencies within the composite service hierarchy, ensuring confidentiality and real-time detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual SLA monitoring is used in composite cloud solutions, then confidentiality of individual SLAs is maintained, but automated detection of SLA violations and root cause identification becomes impossible
Solution Approach 1:
A blockchain-based intermediary system is introduced that acts as a trusted mediator between multiple service providers and consumers. The blockchain network enables automated SLA monitoring and violation detection while preserving confidentiality through cryptographic techniques. Smart contracts automatically execute SLA terms and detect violations without requiring manual intervention, while the decentralized nature of blockchain ensures that no single party gains unauthorized access to confidential SLA details.
Solution Approach 2:
The system segments SLA management into separate confidential channels for each service provider-consumer pair within the composite cloud solution. Each SLA relationship is isolated in its own channel, allowing automated monitoring specific to that relationship while preventing other participants from accessing confidential information. This segmentation enables automated violation detection for each individual SLA without compromising the confidentiality of other SLAs in the composite solution.
2Loss of information
If centralized SLA monitoring is implemented, then automated violation detection is achieved, but visibility into the composite solution hierarchy and root cause identification is lost
Solution Approach 1:
The blockchain monitoring system implements a nested hierarchical structure where individual SLA channels are nested within the broader composite solution architecture. Each service layer has its own monitoring channel that reports to parent channels, enabling traceability through the hierarchy. This nesting allows the system to maintain detailed visibility into each layer's SLA performance while automatically aggregating information to identify root causes of violations in the composite solution.
Solution Approach 2:
The system implements automated feedback loops where SLA metrics are continuously monitored, violations are detected, and root cause information is propagated back through the composite solution hierarchy. Smart contracts automatically generate feedback when SLA thresholds are breached, enabling real-time identification of the originating service that caused the violation. This feedback mechanism provides comprehensive visibility into the hierarchy without requiring complex centralized monitoring infrastructure.
3Ease of operation
If complex legal documents are used for SLAs, then comprehensive service level terms are defined, but automated detection and real-time monitoring become difficult
Solution Approach 1:
The system replaces manual legal document interpretation with automated smart contracts deployed on the blockchain. SLA terms are encoded directly into machine-executable code within smart contracts, eliminating the need for complex legal document parsing and manual enforcement. This substitution maintains the comprehensive nature of SLA terms while enabling automatic detection and enforcement through code-based logic, improving both ease of operation and reliability.
Data Source
AI summary
A method, computer system, and a computer program product for SLA management is provided. The method may include collecting metrics from services within a composite service. The method may include determining, by a first smart contract, a first violation occurred between a first pair of services, whereby the first smart contract and the first pair of services are associated with a first private channel within a blockchain network. The method may include determining, by a second smart contract, a second SLA violation occurred between a second pair of services, whereby the second smart contract and the second pair of services are associated with a second private channel. The method may include determining that the first SLA violation and second SLA violation are related and the second SLA violation occurred before the first SLA violation. The method may include identifying a violating service within the second pair of services.