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Call service scheduling method and system based on cloud

A technology of call service and scheduling method, applied in the direction of transmission system, digital transmission system, electrical components, etc., can solve problems such as increased configuration difficulty, increased enterprise cost, and failure to recover in time, so as to optimize hardware and network resource consumption, reduce cost effect

Active Publication Date: 2018-01-19
CHENGDU GUOSHENG TIANFENG NETWORK TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In the current restaurant, there are mainly the following ways for diners to call restaurant waiters and there are defects: ① Raise your hand or call verbally
When the venue is too large or the walls of the private rooms are too thick, the restaurant needs to enhance the wireless signal through a signal repeater; each independent restaurant needs to be equipped with a wireless system, which increases the difficulty of configuration; most of the resources of the wireless host in each restaurant They are all in an idle state, and the hardware utilization rate is not high; when the wireless service host fails, the failure cannot be recovered in time, and the call service function cannot be used before the failure is recovered
[0003] Existing cloud push center solutions are usually single-cluster push: ① In the case of no cluster expansion, when the load increases, there will be delays in the arrival of calls
②The expansion of the cluster will increase the cost of the enterprise

Method used

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  • Call service scheduling method and system based on cloud
  • Call service scheduling method and system based on cloud
  • Call service scheduling method and system based on cloud

Examples

Experimental program
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specific Embodiment 1

[0034] A cloud-based call service scheduling method, according to To get the specific call cluster that needs to be dispatched, the specific calculation method is:

[0035] The expected time for the call service request of user u to be processed and returned in call cluster i is

[0036]

[0037] Among them, i refers to a call group; β i is the load vector of all users in call cluster i; Indicates the network and hardware load occupied by the user whose user number is k in the call cluster i; k=1, 2,..., m; m is the total number of users; μ i is the request load that the call cluster i can handle per unit time, and represents the processing capability of the call cluster.

[0038] When the enterprise hardware and network resources that provide call services are limited, performance and resource overhead are equally important. When the resource overhead is large, it will also lead to performance degradation, and reducing the resource overhead of each call task will also...

specific Embodiment 2

[0044] On the basis of the specific embodiment 1, the method further includes, for the call cluster group including the third-party call cluster, the processing capability μ of the third-party call cluster i , dynamically calculated and adjusted according to the set time period T.

[0045]For the call group including the third-party call group, when the call request arrives at the call service center, there are two processing schemes: 1) use the enterprise's own call group for processing; 2) use other call group for processing. Since the processing capability of the third-party call cluster is uncontrollable to the enterprise itself, the processing capability μ of the third-party cluster i i , need to be dynamically calculated and adjusted according to a certain time period T. It can be seen from the formula that when a large number of tasks have not returned for a long time in the previous period T, the cluster capacity μ i The value of is greatly reduced, thus avoiding tha...

specific Embodiment 3

[0046] On the basis of specific embodiment 2, the processing capability μ of the third-party call cluster i , the specific method of dynamically calculating and adjusting according to the set time period T is as follows, according to Calculate and adjust; where, t i Indicates the average time for call cluster i to process requests in the previous cycle T, ∑R i It is the sum of the resources consumed in call cluster i by the call requests of all users in the previous period T.

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Abstract

The invention provides a call service scheduling method and system based on cloud. The system comprises a table card client, a cloud call service scheduling center, a call cluster and an intelligent information service terminal; the table card client sends call service information to the cloud call service center through a wireless network; after receiving the call service information, the cloud call service center selects the optimal call cluster according to the scheduling algorithm shown in the description, and the information is pushed to the intelligent information service terminal. Othercloud push platforms can be connected into the cloud call center which can process a call request by using open hardware resources on the Internet, and the cost for an enterprise to buy hardware is reduced; the cloud call center optimizes the hardware and network resource consumption through the dynamic scheduling algorithm of a minimal resource consumption model and observes the real-time stateof the network, and the call cluster of the minimal resource consumption is selected for pushing.

Description

technical field [0001] The present invention relates to a call service scheduling method and system, in particular to a cloud-based call service scheduling method and system. Background technique [0002] In the current restaurant, there are mainly the following ways for dining customers to call the waiter in the restaurant and there are defects: ① raise your hand to signal or call verbally. If the restaurant is large and the waiters are not in the field of vision, the waiters may not be able to respond in time when the diners need service; and verbal calls will affect the dining environment. ② Wireless call service system. When the venue is too large or the wall of the private room is too thick, the restaurant needs to enhance the wireless signal through a signal repeater; each independent restaurant needs to be equipped with a wireless system, which increases the difficulty of configuration; most of the resources of the wireless host in each restaurant All are in an idle...

Claims

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Application Information

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IPC IPC(8): H04L12/24H04L29/08
Inventor 许亚力
Owner CHENGDU GUOSHENG TIANFENG NETWORK TECH CO LTD
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