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Dynamic feedback scheduling method

A scheduling method and dynamic feedback technology, applied in the field of distributed computing

Inactive Publication Date: 2018-11-02
HARBIN INST OF TECH AT WEIHAI +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the face of rich domain applications, PaaS and IaaS have some problems in task scheduling and resource allocation

Method used

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Embodiment

[0063] A dynamic feedback scheduling method that operates on a scheduling model such as figure 1 As shown, the scheduling model includes system software component groups and business software component groups, and all components are collectively called service components (Service Component, SC).

[0064] The system software component group includes scheduling engine (SCHEDULER), analysis engine (f E ), system data object mapping component (MGDM-SC F ), Global Data Object Mapping Component (SC F -GOR), function management component (SC F Function), analysis components (SC F Analysis), Monitoring Components (SC F Monitor), system memory database (MMDB sys ), system database (Systemic DB) and system resource management components, component management components; these are collectively referred to as SCi F , they are uniformly scheduled by the scheduling engine;

[0065] The business software component group includes business components (SCi B ), business memory data obj...

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Abstract

The invention relates to a dynamic feedback scheduling method. The dynamic feedback scheduling method is operated in a scheduling model and comprises the following steps: collecting, by a monitoring component, data in real time, calculating the remaining load capacity of each node, and storing the remaining load capacity of each node and other factors affecting the scheduling into a decision knowledge base, calculating a weight through a scheduling engine (SCHEDULER), establishing a hash mapping relationship, and determining the assignment of tasks. By adoption of the dynamic feedback scheduling method, the increase and decrease of service components are more convenient and flexible in cooperation of a distributed engine scheduling model, and the system scalability problem is solved. The load status of each node in the system can be mastered in time, the tasks are allocated reasonably, the effect of load balancing is achieved, and the problem of reasonable assignment of tasks is solved.

Description

technical field [0001] The invention relates to a dynamic feedback scheduling method, which belongs to the technical field of distributed computing methods. Background technique [0002] Cloud computing has three service modes: SaaS, PaaS and IaaS. SaaS is a software operation model that centrally hosts software and related data on PaaS, which reduces the operation and maintenance cost of the software system, and thus has been widely recognized and used. SaaS is also the core of PaaS and IaaS. It has features such as customization, scalability, and multi-tenancy (Multi-Tenancy, MT) support, which can meet the diverse needs of tenants in terms of display, function, and performance. The realization of these features requires the support of PaaS and IaaS located in the lower layer of the cloud computing stack. However, in the face of rich domain applications, PaaS and IaaS have some problems in task scheduling and resource allocation. [0003] How to reasonably assign tasks ...

Claims

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Application Information

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IPC IPC(8): G06F9/48G06F11/20H04L29/08
CPCG06F9/4881G06F11/203H04L67/1008
Inventor 张小东李旻昊初佃辉
Owner HARBIN INST OF TECH AT WEIHAI
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