[GSOC] `hyperopt` suggestion service logic update #1098

Job	Run time
e2e (v1.27.11, long-running-resume,from-volume-resume,median-stop)	14m 40s
e2e (v1.27.11, grid,bayesian-optimization,tpe,multivariate-tpe,cma-es,hyperband)	22m 3s
e2e (v1.27.11, hyperopt-distribution)	46m 13s
e2e (v1.27.11, file-metrics-collector,pytorchjob-mnist)	12m 44s
e2e (v1.27.11, median-stop-with-json-format,file-metrics-collector-with-json-format)	46m 10s
e2e (v1.28.7, long-running-resume,from-volume-resume,median-stop)	15m 30s
e2e (v1.28.7, grid,bayesian-optimization,tpe,multivariate-tpe,cma-es,hyperband)	19m 40s
e2e (v1.28.7, hyperopt-distribution)	46m 12s
e2e (v1.28.7, file-metrics-collector,pytorchjob-mnist)	13m 48s
e2e (v1.28.7, median-stop-with-json-format,file-metrics-collector-with-json-format)	46m 12s
e2e (v1.29.2, long-running-resume,from-volume-resume,median-stop)	15m 54s
e2e (v1.29.2, grid,bayesian-optimization,tpe,multivariate-tpe,cma-es,hyperband)	22m 15s
e2e (v1.29.2, hyperopt-distribution)	46m 11s
e2e (v1.29.2, file-metrics-collector,pytorchjob-mnist)	13m 25s
e2e (v1.29.2, median-stop-with-json-format,file-metrics-collector-with-json-format)	46m 12s
	7h 7m 9s

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