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Taming Replication Latency of Big Data Events with Capacity Planning.

, , и . Computer, 48 (3): 36-41 (2015)

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Haricharan Lakshman

Ramachandra Kota

Vikas Ramachandra

 

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Taming Replication Latency of Big Data Events with Capacity Planning., , и . Computer, 48 (3): 36-41 (2015)ODP: An Infrastructure for On-Demand Service Profiling., , , , и . ICPE, стр. 139-144. ACM, (2018)Taming memory related performance pitfalls in linux Cgroups., , , , и . ICNC, стр. 531-535. IEEE Computer Society, (2017)Ensuring High-Performance of Mission-Critical Java Applications in Multi-tenant Cloud Platforms., , , и . IEEE CLOUD, стр. 618-626. IEEE Computer Society, (2014)Guarding Fast Data Delivery in Cloud: An Effective Approach to Isolating Performance Bottleneck During Slow Data Delivery., , и . CloudCom-Asia, том 9106 из Lecture Notes in Computer Science, стр. 3-15. Springer, (2015)A memory capacity model for high performing data-filtering applications in Samza framework., , , и . IEEE BigData, стр. 2600-2605. IEEE Computer Society, (2015)RedLiner: Measuring Service Capacity with Live Production Traffic., , , , , и . ICWS, стр. 628-635. IEEE, (2017)Choosing Optimal Maintenance Time for Stateless Data-Processing Clusters - A Case Study of Hadoop Cluster., , , и . JSSPP, том 10353 из Lecture Notes in Computer Science, стр. 252-273. Springer, (2016)SmartCache: Application layer caching to improve performance of large-scale memory mapping., , , , , и . IEEE BigData, стр. 1542-1550. IEEE Computer Society, (2016)SLA-Aware Dynamic CPU Scaling in Business Cloud Computing Environments., , и . CLOUD, стр. 836-843. IEEE Computer Society, (2015)