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Quantifying Cloud Elasticity with Container-Based Autoscaling.

, , , , and . DASC/PiCom/DataCom/CyberSciTech, page 853-860. IEEE Computer Society, (2017)

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Efficient Cloud Provisioning for Video Transcoding: Review, Open Challenges and Future Opportunities., , , , , and . IEEE Internet Comput., 22 (5): 46-55 (2018)Analysis of Online Social Network Connections for Identification of Influential Users: Survey and Open Research Issues., , , , , , and . ACM Comput. Surv., 51 (1): 16:1-16:37 (2018)QuantCloud: Enabling Big Data Complex Event Processing for Quantitative Finance Through a Data-Driven Execution., , and . IEEE Trans. Big Data, 5 (4): 564-575 (2019)Zeus: A resource allocation algorithm for the cloud of sensors., , , , , , and . Future Gener. Comput. Syst., (2019)Graph-based Approaches for the Interval Scheduling Problem., , , , , and . ICPADS, page 649-654. IEEE, (2020)Some Revised Perspectives on Internet of Things.. IoTSMS, page 1. IEEE, (2020)On Efficiency of Scrambled Image Forensics Service Using Support Vector Machine., , , , , and . SERVICES, volume 11517 of Lecture Notes in Computer Science, page 16-30. Springer, (2019)Mitigation and Improving SHA-1 Standard Using Collision Detection Approach., , and . FIT, page 333-338. IEEE Computer Society, (2018)Can quantitative finance benefit from IoT?, , and . SmartIoT@SEC, page 12:1-12:6. ACM, (2017)Data-Intensive Workflow Optimization Based on Application Task Graph Partitioning in Heterogeneous Computing Systems., , , , and . BDCloud, page 129-136. IEEE Computer Society, (2014)