Virtual Machine Configuration Preloading for Multi-Tenant Latency Reduction
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Solution Overview
Problem
Multi-tenant data management systems face challenges in minimizing network bandwidth usage, ensuring data isolation, and providing quick responsiveness to multiple customers' requests while securely managing and retrieving data.
Innovation Solution
The system employs virtual machines to execute customer-provided software code in isolated environments, distributing the runtime state of these virtual machines across host machines, allowing concurrent execution and efficient data operations close to the data storage, thereby reducing network bandwidth usage and ensuring data security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If virtual machines are used to execute customer code in isolated environments, then data isolation and security are improved, but request latency increases due to virtualization overhead
Solution Approach 1:
The system pre-loads virtual machine configurations into host machine memory before customer requests arrive. When a request comes in, the pre-configured virtual machines can be quickly instantiated or activated, significantly reducing the initialization latency while maintaining data isolation through the virtualization layer.
Solution Approach 2:
The patent creates and distributes copies of virtual machine configurations across multiple host machines. These copies allow the system to quickly deploy isolated execution environments without needing to create virtual machines from scratch each time, reducing request latency while preserving security through consistent configuration copying.
2Speed
If virtual machine configurations are distributed across host machines, then responsiveness to customer requests is improved, but network bandwidth consumption increases during configuration distribution
Solution Approach 1:
The system extracts only the necessary virtual machine configuration data from the source and distributes minimal required information to host machines. This selective extraction reduces the amount of data transmitted over the network while ensuring hosts have enough information to quickly instantiate virtual machines when needed.
Solution Approach 2:
Virtual machine configurations are pre-distributed to host machines during idle periods or in advance of demand, rather than being transmitted in real-time when requests arrive. This preliminary distribution allows the system to prepare execution environments ahead of time, improving responsiveness without creating network bandwidth bottlenecks during peak request periods.
Data Source
AI summary
A set of virtual machine configurations is loaded in memory. A set of software instructions that, as a result of being executed, performs a data operation is received from a client device associated with a customer of a service provider. A request to execute the set of software instructions is received. The set of software instructions is executed in a virtual machine derived from a member of the set of virtual machine configurations, and results of the data operation are provided in response to the request.