Memory Virtual Appliance for Centralized Data Sharing
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Solution Overview
Problem
Conventional approaches to memory usage in modern data centers are ad-hoc and focused on single functionalities, relying on special-purpose hardware and software, failing to provide a unified solution for centralized and peer-to-peer memory management as data centers evolve and introduce new functionalities.
Innovation Solution
Implementing a memory virtual appliance that uses a virtual machine to manage memory segments, encapsulating data with a virtualization wrapper to enable sharing among clients and provide a rich access interface, allowing for flexible management of memory resources independent of client instructions, and supporting resilience and replication without performance compromise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional ad-hoc memory approaches are used, then single functionality is achieved, but adaptability and versatility are limited
Solution Approach 1:
The patent implements a universal memory management system using virtual machines that can perform multiple functions including centralized management, peer-to-peer communication, data replication, and resilience operations. The virtual machine framework allows a single system to adapt to different memory management scenarios and functionalities without requiring separate specialized systems for each purpose.
Solution Approach 2:
The virtual machine acts as an intermediary layer between physical memory hardware and various memory management functions. This intermediary abstraction enables flexible configuration of memory management approaches (centralized vs. peer-to-peer) without direct manipulation of underlying hardware, thereby increasing adaptability while managing complexity through standardized interfaces.
2Reliability
If centralized memory management is implemented, then coordination control is improved, but system performance may be compromised
Solution Approach 1:
The system dynamically switches between centralized and peer-to-peer memory management modes based on operational requirements. The virtual machine can operate in centralized mode for coordinated control during failure scenarios, or transition to peer-to-peer mode for high-performance operations, allowing the system to optimize between reliability and performance based on current conditions.
Solution Approach 2:
The system implements data replication through virtual machine instances that maintain copies of memory data across multiple locations. This copying mechanism ensures reliability and fault tolerance while allowing read operations to be performed locally at peer nodes, thereby maintaining performance during normal operation while ensuring coordination during failure scenarios.
3Productivity
If peer-to-peer memory management is used, then system performance is improved, but coordination and control are reduced
Solution Approach 1:
The system dynamically switches between centralized and peer-to-peer memory management modes based on operational requirements. The virtual machine can operate in centralized mode for coordinated control during failure scenarios, or transition to peer-to-peer mode for high-performance operations, allowing the system to optimize between reliability and performance based on current conditions.
Solution Approach 2:
The virtual machine incorporates feedback mechanisms that monitor system state and operational conditions to determine when to switch between centralized and peer-to-peer modes. This feedback enables the system to maintain high performance during normal operation while automatically coordinating control when failure conditions are detected, thus balancing performance and reliability.
4Adaptability or versatility
If data is decoupled from specific devices, then adaptability and sharing capability are improved, but data management complexity increases
Solution Approach 1:
The virtual machine serves as an intermediary that manages the decoupling of data from physical devices. It provides standardized interfaces for data access, replication, and sharing, thereby enabling flexible data management across the system while containing the complexity of device-independent data handling within the virtual machine layer.
Solution Approach 2:
The system segments data management functions into separate virtual machine operations, allowing data to be independently managed, replicated, and shared without being tied to specific physical devices. This segmentation enables flexible data sharing while managing complexity through modular, encapsulated functions within the virtual machine framework.
Data Source
AI summary
In a method for managing a memory segment through use of a memory virtual appliance, data is encapsulated with the memory virtual appliance, in which the memory virtual appliance comprises a virtual machine configured to manage a memory segment in a physical memory. In addition, the memory virtual appliance is implemented using a virtualization wrapper comprising computer readable code enabling the encapsulated data to be shared among a plurality of clients. Moreover, the encapsulated data is stored in the memory segment controlled by the memory virtual appliance.


