[GSOC] `hyperopt` suggestion service logic update #1125

Job	Run time
e2e (v1.27.11, long-running-resume,from-volume-resume,median-stop)	15m 14s
e2e (v1.27.11, grid,bayesian-optimization,tpe,multivariate-tpe,cma-es,hyperband)	21m 36s
e2e (v1.27.11, hyperopt-distribution)	9m 42s
e2e (v1.27.11, file-metrics-collector,pytorchjob-mnist)	13m 50s
e2e (v1.27.11, median-stop-with-json-format,file-metrics-collector-with-json-format)	13m 39s
e2e (v1.28.7, long-running-resume,from-volume-resume,median-stop)	15m 3s
e2e (v1.28.7, grid,bayesian-optimization,tpe,multivariate-tpe,cma-es,hyperband)	20m 8s
e2e (v1.28.7, hyperopt-distribution)	8m 55s
e2e (v1.28.7, file-metrics-collector,pytorchjob-mnist)	14m 26s
e2e (v1.28.7, median-stop-with-json-format,file-metrics-collector-with-json-format)	14m 3s
e2e (v1.29.2, long-running-resume,from-volume-resume,median-stop)	14m 59s
e2e (v1.29.2, grid,bayesian-optimization,tpe,multivariate-tpe,cma-es,hyperband)	20m 34s
e2e (v1.29.2, hyperopt-distribution)	9m 16s
e2e (v1.29.2, file-metrics-collector,pytorchjob-mnist)	14m 24s
e2e (v1.29.2, median-stop-with-json-format,file-metrics-collector-with-json-format)	12m 33s
	3h 38m 22s

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