Global communication network system based on micro base station and edge computing

A global communication network system based on a micro base station and edge computing, comprising:

• at least one micro base station;
• wherein the micro base station comprises an edge computing center, a business network element and a micro base station access network;
• the edge computing center is configured to provide a computing service, a network service, a cloud storage service and a security service through virtualized and hyper-converged architecture, and is further configured to provide a virtual terminal service, distributed parallel task scheduling, a distributed task execution service and a distributed data warehouse;
• wherein services of the edge computing center are visible to the business network element;
• the business network element is configured with a control plane and a user plane in separate form to decentralize a business demand function of a network user;
• the control plane is configured for mobility and access management of a user terminal, session management, strategy control, user data management, authentication management, and security mode control;
• the user plane is configured for executing routing and business forwarding functions;
• the business network element is configured for distributing and guiding traffic of the user terminal to the edge computing center to form a business data closed loop in the micro base station;
• and the business network element is configured to store non-real-time data processed by the edge computing center to a cloud platform via an operator core network to provide data resources for big data analysis and artificial intelligence (AI);
• the edge computing center is configured to acquire business optimization information from the cloud platform;
• the micro base station access network enables a wireless network to cover all regions of all floors in a building to provide a wireless network access service for a distributed unit, i.e., a user terminal, in the building;
• a virtual terminal application service of the edge computing center comprises:
• constructing a virtual terminal on demand:
• for a terminal having or entering an indoor network, the edge computing center creates the virtual terminal according to a unique identification code of the terminal, and the terminal uses the function of the virtual terminal or uses the virtual terminal;
• a user can customize a desired service through the virtual terminal or download desired application software;
• for a fixed application scenario, factory/enterprise business-related user information, virtual terminal configuration information and business data are stored in a cloud storage to ensure the data security of a factory/enterprise and the integrity and availability of the data;
• for a private application scenario, personal private data is stored in the terminal native machine;
• logging out the virtual terminal and recovering resources:
• a virtual terminal manager of the edge computing center sets a user logout strategy;
• for a fixed user of this region, the virtual terminal is retained until being manually logged out;
• for a temporary user of this region, once the user terminal leaves the region, the virtual terminal enters a resource recovery queue and is logged out in sequence according to the first in and first out principle, and the resources are recovered.

A global communication network system based on a micro base station and edge computing, comprising:

• at least one micro base station;
• wherein the micro base station comprises an edge computing center, a business network element and a micro base station access network;
• the edge computing center is configured to provide a computing service, a network service, a cloud storage service and a security service through virtualized and hyper-converged architecture, and is further configured to provide a virtual terminal service, distributed parallel task scheduling, a distributed task execution service and a distributed data warehouse;
• wherein services of the edge computing center are visible to the business network element;
• the business network element is configured with a control plane and a user plane in separate form to decentralize a business demand function of a network user;
• the control plane is configured for mobility and access management of a user terminal, session management, strategy control, user data management, authentication management, and security mode control;
• the user plane is configured for executing routing and business forwarding functions;
• the business network element is configured for distributing and guiding traffic of the user terminal to the edge computing center to form a business data closed loop in the micro base station;
• and the business network element is configured to store non-real-time data processed by the edge computing center to a cloud platform via an operator core network to provide data resources for big data analysis and artificial intelligence (AI);
• the edge computing center is configured to acquire business optimization information from the cloud platform;
• the micro base station access network enables a wireless network to cover all regions of all floors in a building to provide a wireless network access service for a distributed unit, i.e., a user terminal, in the building;
• the distributed parallel task scheduling and distributed task execution services
• features of a data packet:
• parameter defining:
• ts:
• time stamp (UTC)
• ip1:
• source terminal network address
• id1:
• unique identification code of source terminal
• ip2:
• network address of target terminal, defaulted
• id2:
• unique identification code of target terminal, defaulted
• pr:
• authentication information
• sd:
• security level
• py:
• priority level
• td1:
• maximum allowable delay
• td2:
• actual delay
• taskid:
• task ID
• mtd:
• task dependency
• bsdata:
• business data
• contents of the data packet:
• data packet sent/received by a business system=F(ts, ip1, id1, ip2, id2, pr, sd, py, td1, td2, taskId, mtd)+bsdata;
• mtd=F1(task 1 that must be processed first, task 2 that must be processed first, . . . , task n that must be processed first);
• distributed parallel task scheduling flow:
• maintaining an “available service list” of the edge computing center, parsing F(ts, ip1, id1, ip2, id2, pr, sd, py, td1, td2, taskId, mtd) from the data packet, parsing parameters:
• ts, ip1, id1, ip2, id2, pr, sd, py, td1, td2, taskId, mtd hierarchically, distributing tasks to be executed preferentially according to the “priority level” and the “maximum allowable delay”, distributing task offloading channels according to the resource capability, putting “task ID” into task queues of all the channels respectively, maintaining the task list, and monitoring task execution;
• distributed task execution service flow:
• acquiring the to-be-executed tasks from the task queues of all the channels, or executing a preference strategy and then executing the tasks, refusing to execute user-initiated illegal/insecure tasks according to the “authentication information” and “security level”, feeding back the task execution to a scheduling center, and returning task execution data to a task initiator.