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4 In figure, coparison procedure,, analysis as follows: P /3 /; P /3 /, so the two progras are I/O consuing type task For progra 5 5 / 5 T 5555 /4 5, obviously f f / T / T 0 The progra one has 0 I/O instructions; the progra two has 40 I/O instructions Obviously, the progra 's I/O wait tie is longer, that is occupied by I/O resources of a long tie So when two tasks have equal frequency, the nuber of I/O instructions is the decisive factor, the ore nuber of instructions has a higher priority task Therefore, the coparison procedure,, we coe to a conclusion: Conclusion : When the two I/O consuing type task with equal frequency, the nuber of I/O instructions is the decisive factor The task which has high priority has large nuber of instructions The two I/O consuption type task has different frequency, the nuber of I/O instructions is still a and, T, decisive factor For exaple: There are two procedures, as shown in Figure We set P, P is procedures and I/O proportion respectively T, T is procedures and I/O cycles respectively, f, f is procedures, frequencies respectively In figure, coparison procedure,, analysis as follows: P /3 /, P /3 /, so the two procedures are I/O consuing type task For procedure,, T 5555 /4 5, T 0 5 / 75, f / T 0, f / T 03 The procedure has 40 I/O instructions; the procedure has 30 I/O instructions Obviously, the procedure has ore I/O instructions, waiting for a long tie, which is occupied by I/O resources of a long tie, so when two tasks frequency is not equal; the nuber of I/O instructions is still the decisive factor, the ore nuber of instructions is a higher priority task Therefore, the coparison procedure and, we have coe to the second conclusion: Conclusion : When the two I/O consuing type task has different frequency, the nuber of I/O that is still the decisive factor, the task has large nuber of instructions that has high priority When the two I/O consuing type tasks with the sae I/O instruction, the frequency is the key factor that as a easure of the two tasks priority For exaple: There are two procedures, as shown in Figure 3 We set P, P is the procedures and I/O ratio respectively, for the progra and I/O cycles respectively, f f for the procedures, and frequencies respectively, N N for the nuber of procedures and I/O instruction respectively Figure 3 With the sae nuber of I/O instructions of I/O consuing task In figure 3, coparison procedure,, analysis as follows: P 4/7 /, P /3 /, so the two procedures are I/O consuing type task The procedure has 0 I/O instructions; the procedure has 0 I/O instructions For the procedure,, 47

8 Table The task s CPU occupancy ratio and I/O wait tie Task nuber CPU occupancy ratio(%) I/O wait tie (s) Table 3 The task s CPU occupancy ratio and I/O wait tie Task nuber CPU occupancy ratio(%) I/O wait tie (s) Table 4 Each task node achine label in the hoogeneous cluster Server node Task label Figure 5 Hoogeneous cluster server node s CPU utilization ratio coparison chart Copare the data in Figure 5, we can find in the least connection scheduling algorith cluster, each node has five tasks, each node CPU utilization ratio difference relatively poor Contrast the least connection scheduling algorith, the new algorith akes the whole cluster syste efficiency has been iproved, and a ore balanced provision of services 5

9 Figure 6 Hoogeneous cluster server node s I/O waits tie coparison chart Copare the data in Figure 6, we can find in the cluster of the least connection scheduling algorith, each node I/O wait tie difference relatively poor, this paper proposed algorith has greatly iproved on the CPU, I/O resource utilization ratio With the aount of the task increases, the syste can provide ore efficient services The experient results show that, in the hoogeneous cluster, the innovation dynaic load balancing algorith based on task classification has ore efficiency and stronger applicability 4 Heterogeneous clusters experient results We assue that the client has 30 tasks request The 30 tasks are listed in Table, Table and Table 3 The weighted least-connection scheduling algorith is still used to connect the achine to easure the nuber of the current load conditions The CPU utilization ratio is shown as Figure 7 Figure 7 Heterogeneous cluster server node s CPU utilization ratio coparison chart Coparing weighted least connection algorith, the BTC akes the whole cluster syste s efficiency has been greatly iproved, and the cluster syste ore balanced provision of services With the task size increases, the new algorith can provide higher efficiency than the weighted least connections algorith The coparison of I/O wait tie is shown in Figure 8 5

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