Dynamic Scanning via Service-Level Agreements
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Solution Overview
Problem
Conventional scanning techniques in cloud computing are static and inflexible, failing to accommodate workload-specific error tolerance and quality requirements, leading to suboptimal user experiences and increased costs for service providers and customers.
Innovation Solution
A quality monitoring and enforcing technology (QMET) that enables dynamic negotiation and adaptation of scanning settings via a service-level agreement (SLA), allowing for on-demand servicing of quality requirements by specifying desired scanning features, error types, and tolerated error levels, and dynamically assigning computing resources to meet these specifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional static scanning settings are used, then service providers can maintain fixed scanning configurations, but customers cannot communicate their workload-specific error tolerance and requirements
Solution Approach 1:
The patent implements dynamic scanning settings that can be adjusted based on workload-specific requirements. The system transitions from static, fixed scanning configurations to dynamic configurations that adapt to customer needs through service-level agreements, allowing scanning parameters to change according to error tolerance and quality requirements.
Solution Approach 2:
The patent changes the scanning parameters from fixed values to variable values that can be negotiated and adjusted through service-level agreements. Customers can specify their error tolerance and quality requirements, which directly modify the scanning settings such as error thresholds, scan frequency, and detection sensitivity.
2Reliability
If static scanning configurations are maintained, then service providers can simplify operations, but user experiences become suboptimal and total cost of ownership increases
Solution Approach 1:
The patent introduces a feedback mechanism where customers communicate their error tolerance and quality requirements through service-level agreements. The system uses this feedback to adjust scanning settings accordingly, ensuring that error detection quality matches user needs while providing a structured process for setting management.
Solution Approach 2:
The patent uses service-level agreements as an intermediary mechanism to bridge customers and the scanning system. Rather than direct complex configuration management, customers express their requirements through SLAs, which then translate into appropriate scanning settings, simplifying the operation while maintaining reliability.
3Adaptability or versatility
If customized scanning settings are implemented, then customer quality requirements can be met, but system complexity and negotiation overhead increase
Solution Approach 1:
The patent creates a universal service-level agreement framework that can handle multiple customer requirements through a standardized interface. Rather than requiring custom automation for each customer, the SLA mechanism provides a universal method for expressing error tolerance and quality requirements, reducing the need for specialized negotiation processes.
Data Source
AI summary
An apparatus is provided. The apparatus comprises interface circuitry, machine-readable instructions, and processing circuitry to execute the machine-readable instructions to receive a request from a virtual machine to execute a task, receive a service-level agreement, SLA, from the virtual machine indicating a desired feature of scanning a computing resource to execute the task for errors, and scan the computing resource for errors based on the SLA.