Multi-tenant Cloud Node Selection via Application Attribute Matching
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Solution Overview
Problem
Current cloud-based PaaS offerings face inefficiencies and high costs due to the need for significant expertise and resources in managing web applications across different hypervisors and cloud providers, with idle virtual machines wasting resources and requiring separate instances for each customer's application, leading to security and resource sharing concerns when deploying multiple customers' applications on a single VM.
Innovation Solution
A method for selecting the most capable node in a multi-tenant cloud environment to host new applications by calculating the capacity of available nodes based on software repositories, active applications, and resource pools, allowing for efficient resource utilization and transparent idling and restarting of applications to conserve resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a separate VM is deployed for each customer's application, then security and isolation are improved, but resource utilization deteriorates and costs increase
Solution Approach 1:
The patent merges multiple customer applications into a single shared VM environment, allowing multiple applications to coexist on the same virtual machine. This consolidation improves resource utilization by eliminating idle VMs while maintaining security through sandboxing techniques that isolate each application's execution environment.
Solution Approach 2:
The shared VM infrastructure provides universal hosting capability for multiple customer applications simultaneously. The VM acts as a multi-functional platform that can accommodate different applications from different customers, reducing the need for dedicated single-purpose VMs and improving overall resource efficiency.
2Loss of energy
If multiple customers' applications are deployed on a single VM, then resource utilization improves, but security concerns and resource sharing conflicts worsen
Solution Approach 1:
The patent segments the shared VM environment into isolated execution contexts for each customer application. Through sandboxing techniques, each application operates in its own secure container within the VM, preventing interference between applications while sharing the underlying hardware resources efficiently.
3Reliability
If VM capacity is sized for peak load, then service reliability is improved, but resource waste during low utilization periods worsens
Solution Approach 1:
By combining multiple applications on shared VMs, the system aggregates their resource requirements and utilization patterns. This allows the infrastructure to serve multiple workloads simultaneously, reducing the need to provision capacity for individual peak loads and minimizing idle resources when any single application is underutilized.
Data Source
AI summary
A method includes instantiating a first web application for a first application owner on a virtual machine and instantiating a second web application for a second application owner. The second application owner is different than the first application owner. Instantiating the second web application includes determining that the second web application is associated with an attribute. The first web application is also associated with the attribute, and the attribute comprises an implementation related property of the first web application and the second web application. Instantiating the second web application also includes identifying the virtual machine as configured to host web applications having the attribute, responsive to identifying the virtual machine, instantiating the second web application on the virtual machine hosting the first web application. The second web application is prevented from accessing the first web application and the first web application is prevented from accessing the second web application.