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Effective Multi-stream Joining in Apache Samza Framework.

, , , , and . BigData Congress, page 267-274. IEEE Computer Society, (2016)

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Taming Replication Latency of Big Data Events with Capacity Planning., , and . IEEE Computer, 48 (3): 36-41 (2015)OS-Caused Large JVM Pauses: Investigations and Solutions., , , and . JSW, 11 (10): 1008-1025 (2016)ODP: An Infrastructure for On-Demand Service Profiling., , , , and . ICPE, page 139-144. ACM, (2018)Guarding Fast Data Delivery in Cloud: An Effective Approach to Isolating Performance Bottleneck During Slow Data Delivery., , and . CloudCom-Asia, volume 9106 of Lecture Notes in Computer Science, page 3-15. Springer, (2015)A memory capacity model for high performing data-filtering applications in Samza framework., , , and . BigData, page 2600-2605. IEEE Computer Society, (2015)RedLiner: Measuring Service Capacity with Live Production Traffic., , , , , and . ICWS, page 628-635. IEEE, (2017)Ensuring High-Performance of Mission-Critical Java Applications in Multi-tenant Cloud Platforms., , , and . IEEE CLOUD, page 618-626. IEEE, (2014)Justifying SSD Storage in Enterprise Cloud Environments., , , and . CBD, page 1-6. IEEE, (2016)Eliminating OS-Caused Large JVM Pauses for Latency-Sensitive Java-Based Cloud Platforms., , , and . CLOUD, page 694-701. IEEE, (2016)Effective Multi-stream Joining in Apache Samza Framework., , , , and . BigData Congress, page 267-274. IEEE Computer Society, (2016)