Hybrid scheduling method based on load monitoring under hadoop cloud platform
A technology of load monitoring and hybrid scheduling, applied in resource allocation, multi-programming devices, etc., can solve the problems of resource occupation, long average job completion time, and failure to execute, so as to reduce scheduling consumption and shorten the average job completion time , the effect of improving fairness
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[0039] The present invention will be further described below in conjunction with the accompanying drawings.
[0040] Assuming that there are m resources in the system, the number of idle resources is k, and the number of tasks to be executed is numT. The load degree of the system is defined as:
[0041] H L = n u m T m
[0042] If 0≤HL<1, the system is under low load;
[0043] If 1≤HL≤2, the system is in load balance;
[0044] If HL>2, the system is overloaded.
[0045] The hybrid scheduling strategy based on load monitoring includes a load monitor and a scheduling selector. The load monitor is responsible for monitoring and calculating the load of the system, and the scheduling selector schedules tasks according to the load conditions provided by the load monitor.
[0046] When there are idle resources requesting task execution, the scheduling selector will obtain the r...
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