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MARISSA: MApReduce Implementation for Streaming Science Applications., , , , , , and . eScience, page 1-8. IEEE Computer Society, (2012)Analysis of Cache Performance for Processing XML-Based Application Data on Multi-core Processors., and . eScience, page 688-694. IEEE Computer Society, (2008)Benchmarking MapReduce Implementations for Application Usage Scenarios., , , and . GRID, page 90-97. IEEE Computer Society, (2011)The XCAT Science Portal., , , , , , , , , and 1 other author(s). Scientific Programming, 10 (4): 303-317 (2002)Exploring Potential for Non-Disruptive Vertical Auto Scaling and Resource Estimation in Kubernetes., , , and . CLOUD, page 33-40. IEEE, (2019)Analysis of Dynamically Switching Energy-Aware Scheduling Policies for Varying Workloads., , , , and . IEEE CLOUD, page 130-137. IEEE Computer Society, (2018)XCAT-C++: Design and Performance of a Distributed CCA Framework., , and . HiPC, volume 3769 of Lecture Notes in Computer Science, page 270-279. Springer, (2005)Grid scheduling and protocols - Benchmarking XML processors for applications in grid web services., , , and . SC, page 121. ACM Press, (2006)Riding the elephant: managing ensembles with hadoop., , , and . MTAGS@SC, page 49-58. ACM, (2011)Exploring the Fairness and Resource Distribution in an Apache Mesos Environment., , and . CoRR, (2019)