Cloud Service Deployment for Mobile Customers
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Cloud computing networks lack flexibility in serving cloud services to mobile customers, such as truck drivers or salespersons, who require on-demand access to cloud resources while moving, as Content Delivery Networks (CDNs) are inadequate in providing computing capabilities and resource allocation near the user's location.
Innovation Solution
A cloud service deployment system that pre-deploys cloud services to the nearest feasible processing environment based on the customer's estimated location and duration of stay, using a processor, non-transitory memory, and communication interface to receive reservation requests, determine suitable environments, and initiate service deployment, enabling access to Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS), or Infrastructure-as-a-Service (IaaS).
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If cloud services are delivered from centralized data centers, then resource management is simplified, but access speed and user experience deteriorate for mobile customers
Solution Approach 1:
The patent implements edge computing nodes distributed across different locations, each providing cloud services locally to nearby mobile customers. This creates local quality variations where services are delivered from the nearest available node, reducing latency and improving access speed without requiring complete decentralization of resource management
Solution Approach 2:
The centralized cloud infrastructure is segmented into multiple edge computing nodes distributed geographically. Each node handles local service delivery independently, while a central management system coordinates resource allocation. This segmentation improves access speed for mobile users while maintaining simplified centralized resource management through the coordination layer
2Adaptability or versatility
If cloud services are pre-deployed to multiple edge locations, then service accessibility for mobile customers improves, but resource allocation complexity increases
Solution Approach 1:
The system pre-deploys cloud service containers to multiple edge computing nodes in advance, so that when mobile customers arrive at a location, services are already available locally. This preliminary action improves service accessibility and reduces deployment latency, while the automated orchestration system manages the complexity of coordinating these pre-deployed resources across multiple locations
3Speed
If cloud services are cached at CDN locations, then content delivery speed improves, but computing capability for cloud services remains insufficient
Solution Approach 1:
The patent merges CDN infrastructure with edge computing capabilities, transforming traditional content-caching CDN nodes into hybrid edge computing nodes that provide both fast content delivery and full cloud service computing capabilities. This combination maintains the speed advantages of CDN while adding the adaptability and computing power needed for cloud services
Data Source
AI summary
The application relates to a method and a system (200) for deploying cloud services to a cloud computing network (230) where the cloud services are to be provided to mobile cloud customers. Current cloud services are not optimized to take into account cloud service customers that are mobile which results in inefficient use of the transmission resources in the network. The problem is solved by a method and a system (200) for pre-deploying the required cloud service to a feasible cloud service processing environment (211-213) that is closest to the location where the cloud customer (221-223) plans to be at a certain estimated time of arrival and duration.