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BRAHMA+: A Framework for Resource Scaling of Streaming and ASAP Time-Varying Workflows., , , and . IEEE Trans. Netw. Serv. Manag., 15 (3): 894-908 (2018)BRAHMA: An intelligent framework for automated scaling of streaming and deadline-critical workflows., , , , and . CNSM, page 216-222. IEEE, (2016)UnifyDR: A Generic Framework for Unifying Data and Replica Placement., , , , and . IEEE Access, (2020)Scalable Data Placement of Data-intensive Services in Geo-distributed Clouds., , , and . CLOSER, page 497-508. SciTePress, (2018)SpeCH: A scalable framework for data placement of data-intensive services in geo-distributed clouds., , , , and . J. Netw. Comput. Appl., (2019)Design and Evaluation of Automatic Workflow Scaling Algorithms for Multi-tenant SaaS., , , , and . CLOSER (1), page 221-229. SciTePress, (2016)Intrusion Detection System Based on Integrated System Calls Graph and Neural Networks., , , and . IEEE Access, (2021)Unikernels vs Containers: An In-Depth Benchmarking Study in the Context of Microservice Applications., , , , and . SC², page 1-8. IEEE, (2018)Unifying Data and Replica Placement for Data-intensive Services in Geographically Distributed Clouds., , , , and . CLOSER, page 25-36. SciTePress, (2019)