Hot Deployment in Grid Computing via Protocol Selection
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Solution Overview
Problem
In grid computing environments, hot deployment or redeployment of applications across multiple containers on different platforms requires temporary suspension and reinitialization of services, leading to significant overhead due to dynamic application information and varied data transfer mechanisms.
Innovation Solution
A method that tightly integrates deployment and re-deployment systems with grid discovery services, using a repository server to manage application release bundles and client application managers to select appropriate data transfer protocols for hot deployment or redeployment across nodes, allowing for seamless updates without service interruption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If hot deployment is implemented in grid computing environments with multiple containers on different platforms, then application updates can be propagated across the system, but the system requires temporary suspension and reinitialization during deployment, causing significant overhead
Solution Approach 1:
The patent segments the grid computing system into multiple independent containers, each capable of hot deployment operations. The deployment process is divided into discrete steps: identifying target containers, transferring application archives, and executing deployment commands. This segmentation allows different containers to be updated independently without requiring system-wide suspension, thereby reducing overall system overhead while maintaining adaptability for application updates.
2Adaptability or versatility
If hot deployment is performed in homogeneous cluster environments, then application changes can be propagated to all servers, but the process requires stopping all running services and applications, resulting in significant overhead on the grid system
Solution Approach 1:
The patent implements preliminary actions by first identifying all target containers that need to be updated before initiating the deployment process. Application archives are prepared and staged in advance, and deployment commands are pre-configured for each container. This preliminary preparation allows the actual deployment to proceed smoothly without requiring service interruptions, as the system has already organized all necessary components before execution begins.
Solution Approach 2:
The patent enables continuous deployment operations by implementing hot deployment mechanisms that allow applications to be updated while containers remain operational. The deployment process is designed to replace application components in-place without requiring container shutdown or service interruption. This continuity ensures that the grid system maintains full operational capacity throughout the deployment process, eliminating service interruption time while still propagating application changes across all servers.
3Adaptability or versatility
If multiple data transfer mechanisms are used to support different platforms in grid computing, then the system can accommodate diverse environments, but the complexity of managing different transfer protocols increases
Solution Approach 1:
The patent implements a universal data transfer mechanism that can operate across multiple platforms and protocols. The system includes a protocol detection module that automatically identifies the appropriate transfer mechanism for each target container based on its platform characteristics. A single unified interface handles different protocols (such as SSH, FTP, SFTP) transparently, allowing the deployment system to accommodate diverse environments without requiring separate specialized mechanisms for each platform. This universality reduces complexity while maintaining comprehensive platform compatibility.
Data Source
AI summary
A technique for hot deploying/redeploying applications in a grid computing environment to improve operating efficiency and reduced overhead. In one example embodiment, this is accomplished by notifying a client application manager associated with each of one or more grid nodes about a type of data transfer protocol to use upon receiving a new version of an application release bundle by a repository server. The new version of the application release bundle is then hot deployed/redeployed on running one or more application servers in the associated grid using an appropriate hot deployment plug-in based on the data transfer protocol by each client application manager.