Object Memory Management Unit Unified Resource Addressing
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Solution Overview
Problem
Current cloud computing methodologies require manual assignment of compute, storage, and network resources, leading to inefficiencies in deploying and configuring cloud resources that can deliver guaranteed performance, as systems administrators must manage complex network topologies and resource connections, often involving multiple physical and virtual devices.
Innovation Solution
The implementation of an Object Memory Management Unit (OMMU) that maps virtual addresses to local and network addresses, enabling the federation of physical and virtual compute, storage, and internet resources as a unified local resource, allowing for on-demand deployment and presentation of resources through a bootstrap protocol and enhanced address translation mechanisms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual assignment of compute, storage, and network resources is used, then resource deployment can be controlled, but the complexity of deploying and configuring network topology and resources increases significantly
Solution Approach 1:
The patent introduces a cloud resource manager as an intermediary component that automatically manages resource assignment and network topology configuration. This mediator translates high-level resource requests into detailed configuration instructions, eliminating the need for administrators to manually manage complex network topologies while ensuring performance requirements are met through automated resource orchestration.
Solution Approach 2:
The system implements self-service automation where the cloud resource manager autonomously performs resource allocation, network configuration, and topology management without human intervention. The manager automatically discovers available resources, configures appropriate network topologies, and assigns resources based on workload requirements, thereby reducing administrative burden while maintaining reliable performance guarantees.
2Productivity
If administrators manually manage cloud resource deployment, then resource allocation can be optimized, but the time and effort required for deployment increases
Solution Approach 1:
The cloud resource manager performs preliminary actions by pre-configuring resource pools, establishing network topologies in advance, and maintaining an inventory of available resources. When deployment requests are received, the manager can quickly allocate pre-prepared resources and configurations, dramatically reducing deployment time while maintaining optimal resource allocation through automated selection algorithms.
Solution Approach 2:
The system enables self-service automated deployment where the cloud resource manager independently handles resource allocation, provisioning, and configuration without administrator intervention. This automation maintains high productivity by using intelligent algorithms to optimize resource assignment while eliminating the time-consuming manual processes of resource discovery, configuration, and deployment.
3Ease of operation
If virtualization technology is used to group computing resources, then resource management becomes easier, but the requirement for knowledge of IP addresses and network configurations increases
Solution Approach 1:
The cloud resource manager acts as an intermediary that abstracts away network configuration complexities from administrators. It automatically manages IP address assignment, network topology configuration, and virtual machine networking, allowing administrators to easily provision and manage virtualized resources without needing to understand underlying network details. The manager handles all network configuration tasks transparently.
Data Source
AI summary
Techniques to facilitate enhanced addressing of local and network resources from a computing system are provided herein. In one implementation, a method of operating an object-based memory management unit on a computing system to unify addressing of local and network resources includes maintaining a mapping of virtual addresses to local addresses and network addresses, and identifying resource requests that use the virtual addresses. The method further provides handling the resource requests per the mapping, and wherein a given request of the resource requests implicates a network resource, accessing the network resource associated with the given request over at least the network.