[GSOC] `optuna` suggestion service logic update #1273

Job	Run time
e2e (v1.29.2, long-running-resume,from-volume-resume,median-stop)	15m 46s
e2e (v1.29.2, grid,bayesian-optimization,tpe,multivariate-tpe,cma-es,hyperband)	47m 55s
e2e (v1.29.2, hyperopt-distribution)	10m 30s
e2e (v1.29.2, file-metrics-collector,pytorchjob-mnist)	13m 40s
e2e (v1.29.2, median-stop-with-json-format,file-metrics-collector-with-json-format)	13m 2s
e2e (v1.30.7, long-running-resume,from-volume-resume,median-stop)	14m 43s
e2e (v1.30.7, grid,bayesian-optimization,tpe,multivariate-tpe,cma-es,hyperband)	49m 36s
e2e (v1.30.7, hyperopt-distribution)	9m 57s
e2e (v1.30.7, file-metrics-collector,pytorchjob-mnist)	12m 57s
e2e (v1.30.7, median-stop-with-json-format,file-metrics-collector-with-json-format)	13m 47s
e2e (v1.31.3, long-running-resume,from-volume-resume,median-stop)	15m 34s
e2e (v1.31.3, grid,bayesian-optimization,tpe,multivariate-tpe,cma-es,hyperband)	48m 5s
e2e (v1.31.3, hyperopt-distribution)	8m 55s
e2e (v1.31.3, file-metrics-collector,pytorchjob-mnist)	14m 6s
e2e (v1.31.3, median-stop-with-json-format,file-metrics-collector-with-json-format)	12m 50s
	5h 1m 23s

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