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Modeling and Analyzing Cost and Utilization Based Task Scheduling for Cloud Application.

, , , and . COMPSAC, page 245-250. IEEE Computer Society, (2016)

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Resource Constrained Profit Optimization Method for Task Scheduling in Edge Cloud., , , , and . IEEE Access, (2020)Local versus Global Models for Just-In-Time Software Defect Prediction., , , , and . Sci. Program., (2019)A Method for Analyzing and Predicting Reliability of BPEL Process., , , and . J. Softw., 4 (1): 11-18 (2009)Deep Semantic Feature Learning with Embedded Static Metrics for Software Defect Prediction., , , , and . APSEC, page 244-251. IEEE, (2019)A collaborative deep learning microservice for backdoor defenses in Industrial IoT networks., , , , , , and . Ad Hoc Networks, (2022)Combining Constraint Solving with Different MOEAs for Configuring Large Software Product Lines: A Case Study., , , , , and . COMPSAC (1), page 54-63. IEEE Computer Society, (2018)A Load-Balanced Approach to Time Efficient Resource Scheduling in SDN-Enabled Data Center., , , and . COMPSAC (2), page 216-221. IEEE Computer Society, (2018)978-1-5386-2667-2.Energy and time efficient task offloading and resource allocation on the generic IoT-fog-cloud architecture., , , and . Peer-to-Peer Netw. Appl., 13 (2): 548-563 (2020)Reparameterizable Multibranch Bottleneck Network for Lightweight Image Super-Resolution., , , , and . Sensors, 23 (8): 3963 (2023)Efficient and Reliable Cluster-Based Data Transmission for Vehicular Ad Hoc Networks., , , , and . Mob. Inf. Syst., (2018)