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Self-adaptive load balance scheduling mechanism for internet-of-things device access processing platform

An Internet of Things device and adaptive load technology, applied in the field of computer networks, can solve the problem that a single routing algorithm cannot be applied to all scenarios, and achieve the effects of avoiding limitations, maintaining dynamic load balancing, and clear division of labor

Active Publication Date: 2015-01-07
CETHIK GRP
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In order to overcome the above shortcomings, the present invention aims to provide an adaptive load balancing scheduling mechanism for Internet of Things device access processing platforms, and adopts a new scheduling algorithm framework in which routing strategies and routing algorithms are separated to overcome the single routing problem in the existing cluster system. The defect that the algorithm cannot be applied to all scenarios

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  • Self-adaptive load balance scheduling mechanism for internet-of-things device access processing platform
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  • Self-adaptive load balance scheduling mechanism for internet-of-things device access processing platform

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Embodiment 1

[0036] Embodiment 1: as figure 1 As shown, the adaptive load balancing scheduling of the present invention is realized by routing nodes and processing nodes. The routing nodes are responsible for the scheduling and distribution of new device connection requests and the load balancing among cluster nodes. The processing nodes are responsible for real-time monitoring of the load status of the nodes and performing local Service processing of all access devices of the node. When the gateway device is connected to the platform, the routing node is responsible for scheduling and assigning to a certain processing node for data and business processing. When the cluster load is unbalanced, the routing node is responsible for migrating the device connection on the heavier-loaded node to other lighter-loaded nodes. processing on the processing node.

[0037] Such as figure 2 As shown, the adaptive load balancing scheduling mechanism for the Internet of Things device access processing ...

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Abstract

The invention relates to the technical field of computer networks, in particular to a self-adaptive load balance scheduling mechanism for an internet-of-things device access processing platform. The invention provides a novel scheduling algorithm framework in which a routing policy and a routing algorithm are independently separated, the routing policy can be replaced, the evaluation indicator is expandable, the routing algorithm is open-ended, and three routing policies including a single algorithm policy, a combined algorithm policy and an adaptive algorithm policy, are also provided to deal with the abruptness and the randomness of a device connection request in a real application environment. With the adoption of the self-adaptive load balance scheduling mechanism, an internet-of-things device access system effectively adjusts the distribution condition of the device connection request according to the performance difference and the load conditions of various nodes in a cluster, so that the overall performance of a cluster system is improved. Compared with the prior art, the self-adaptive load balance scheduling mechanism for the internet-of-things device access processing platform has the advantages of novel thought, flexibility in use, and good convenience for expansion, fully meets the scheduling requirements of the connection request of an internet-of-things gateway, and effectively breaks the limitations that the single router is not applicable to all scenes.

Description

technical field [0001] The invention relates to the technical field of computer networks, in particular to an adaptive load balancing scheduling mechanism for Internet of Things (IoT) device access processing platforms. Background technique [0002] With the advent of the Internet of Things era, more and more sensing devices need to be connected to the platform system, and the Internet of Things data information can be obtained conveniently and quickly through the network. In order to solve the problem of concurrent access of a large number of devices to the platform system, distributed cluster deployment has become a common solution. [0003] Load balancing technology is accompanied by the appearance of the cluster, it is one of the key technologies to realize the cluster system, its pros and cons directly affect the performance of the entire system. From the early static load balancing strategy to the relatively good dynamic load balancing strategy, and from centralized c...

Claims

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Application Information

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IPC IPC(8): H04L12/803
Inventor 周兴华何成东王军林友勇张芬
Owner CETHIK GRP
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