Mobile Edge Platform Resource Pooling for Service Resilience
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Solution Overview
Problem
Existing network systems face challenges in maintaining resilience and reliability, particularly in edge computing environments where resources are constrained, leading to issues with latency, power management, and security, especially in multi-tenant and dynamic usage scenarios.
Innovation Solution
Implementing a mobile edge platform (MEP) with enhanced resource pooling, dynamic activation of dormant capacity, and secure, distributed computing architectures to manage workload demands and ensure continuity of services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If resources are pooled and dynamically activated in edge computing environments, then network resilience and service continuity are improved, but device complexity and management overhead increase
Solution Approach 1:
The patent implements dynamic resource pooling where computing, storage, and networking resources are virtualized and can be dynamically allocated based on demand. The system transitions from static resource allocation to dynamic orchestration, allowing resources to be activated or deactivated based on service requirements, thereby improving reliability without permanent complexity increases
Solution Approach 2:
The mobile edge platform creates a universal resource pool that can serve multiple tenants and services simultaneously. The same physical resources can be dynamically allocated to different applications and services, providing multi-functionality that improves network resilience while avoiding the need for dedicated resources for each service
2Reliability
If dormant capacity is dynamically activated to meet workload demands, then service reliability is improved, but energy consumption increases
Solution Approach 1:
The system pre-positions resources in a dormant state within the resource pool, preparing them in advance for potential activation. This preliminary preparation allows rapid service continuity when needed while keeping energy consumption low during idle periods, as resources are only fully activated when workloads require them
Solution Approach 2:
The system dynamically changes operational parameters of resources based on workload demands. Resources can transition between different power states (fully active, dormant, or deactivated), adjusting energy consumption parameters according to actual service needs while maintaining the capability for rapid activation when reliability requirements demand
3Loss of time
If distributed computing architectures are implemented at edge locations, then latency is reduced, but security vulnerabilities increase
Solution Approach 1:
The mobile edge platform acts as an intermediary layer between end-user devices and the core network. This intermediate platform provides a controlled environment that reduces latency by processing data locally at the edge while simultaneously implementing security measures, thus mediating between the speed benefits of distributed computing and the security risks it introduces
4Productivity
If resource pooling is implemented in multi-tenant environments, then resource utilization is optimized, but isolation and security between tenants become more difficult to maintain
Solution Approach 1:
The patent implements logical segmentation of the shared resource pool into isolated tenant environments. While physical resources are pooled and shared to optimize utilization, the system creates virtual boundaries and isolation layers that segment access and data flows between tenants, maintaining both high resource utilization and strong tenant isolation
Data Source
AI summary
Methods, apparatus, systems, and articles of manufacture are disclosed to improve mobile edge platform resiliency. An example apparatus includes memory, instructions, and processor circuitry to execute the instructions to initiate a search for one of an access point or a cluster head at a first time, in response to detection of the cluster head, initiate an intra-cluster mobile edge platform (MEP) mutual authentication associated with the cluster head, cause transmission of historical activity data to at least one MEP associated with the cluster head, and cause storage of an authentication metric in a secure storage, the authentication metric based on historical connectivity data.