Hardware Compression for Inactive Virtual Machine Storage
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional virtual machine (VM) systems are inefficient in managing resources as inactive VMs occupy hardware space and resources, straining system operation due to their inability to compress or uncompress virtual hard drives, leading to resource wastage and operational strain as active VMs require more resources to perform functions.
Innovation Solution
Implementing hardware compression to identify inactive VMs, compress their virtual hard drives, and uncompress them when needed, allowing for efficient use of resources by reducing the size of inactive VMs to 40% or less of their original size and restoring them when active, using high-speed compression and uncompression processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If hardware compression is implemented to compress virtual hard drives of inactive VMs, then storage space utilization is improved, but system complexity increases
Solution Approach 1:
A compression manager component is introduced as an intermediary between the VM management system and the compression engine. This manager handles the coordination of compression operations, monitors VM activity states, and controls when compression should occur, thereby managing the complexity of implementing hardware compression without requiring fundamental changes to the existing VM architecture
Solution Approach 2:
The patent replaces traditional software-based compression mechanisms with hardware-level compression capabilities. By utilizing dedicated compression hardware or firmware integrated into the storage subsystem, the system achieves compression functionality without relying on software algorithms, thereby reducing CPU overhead and improving compression efficiency while managing complexity through hardware abstraction
2Quantity of substance
If compression is performed on inactive VMs to free up resources, then resource availability for active VMs is improved, but processing time for compression operations increases
Solution Approach 1:
The system performs compression operations on VMs during periods when they are inactive or idle, proactively preparing them for potential future activation. By compressing VMs before they are needed rather than waiting for storage pressure to build, the system ensures resources are available when required while utilizing otherwise wasted time periods for compression work
Solution Approach 2:
The compression manager implements periodic monitoring and compression cycles, checking VM activity states at regular intervals and initiating compression only when appropriate conditions are met. This periodic approach allows the system to balance compression operations with active VM performance requirements, preventing excessive processing time from impacting active VMs while still achieving resource optimization
3Quantity of substance
If virtual hard drives are compressed to reduce storage requirements, then storage efficiency is improved, but access speed for uncompressed data decreases
Solution Approach 1:
The system applies compression selectively based on VM activity status and data characteristics. Frequently accessed data or VMs that are likely to be activated soon are either excluded from compression or use lighter compression algorithms, while inactive VMs with less critical data undergo full compression. This local quality approach ensures that compression is applied where it provides maximum benefit without significantly impacting access speed for active or frequently used data
Data Source
AI summary
Novel tools and techniques are provided for implementing virtual machine (“VM”) management, and, more particularly, to methods, systems, and apparatuses for implementing VM management using hardware compression. In various embodiments, a computing system might identify one or more first virtual machines (“VM's”) among a plurality of VM's that are determined to be currently inactive and might identify one or more second VM's among the plurality of VM's that are determined to be currently active. The computing system might compress a virtual hard drive associated with each of the identified one or more first VM's that are determined to be currently inactive. The computing system might also perform or continue to perform one or more operations using each of the identified one or more second VM's that are determined to be currently active.