Stream Processing Systems
Scheduling in distributed stream processing systems
... There has been a lot of work done in trying to use control theory to design new, fair, adaptive TCP protocols to maximize transmission rates for dierent sources on the Internet [28, 39]. However, all the control theory ...
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Stream Processing Systems Benchmark: StreamBench
... of stream pro- cessing systems comprehensively, even the steps of benchmark flow attempt to probe common operations performed on data ...these stream processing ...
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Adaptive Provisioning of Stream Processing Systems in the Cloud
... financial processing, web analyt- ics, social networks and healthcare systems, which must pro- cess continuous data ...distributed stream processing systems (DSPSs) execute continuous ...
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Dynamic Load Balancing and Autoscaling in Distributed Stream Processing Systems
... Distributed Stream Processing Systems Xing Wu In big data world, Hadoop and other batch-processing tools are widely used to analyze data and get results in ...Distributed stream ...
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New techniques to lower the tail latency in stream processing systems
... CHAPTER 7 CONCLUSION In this thesis, we presented three novel techniques to shorten the tail latency in stream processing systems. The adaptive timeout strategey can reduce 99 th and 99.9 th latency ...
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Segment backup: datacenter-disaster tolerance for stream processing systems
... Stream processing systems are computing systems that are usually long- running and ...batch processing systems that usually handle particular complex jobs when required and ...
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Stela: on-demand elasticity in distributed data stream processing systems
... current stream processing systems used in industry largely lack an ability to seamlessly and efficiently scale the number of servers in an on-demand manner, while on-demand is defined by the ability ...
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Elastic Symbiotic Scaling of Operators and Resources in Stream Processing Systems
... 1097 [31] L. Aniello, S. Bonomi, F. Lombardi, A. Zelli, and R. Baldoni, “An 1098 architecture for automatic scaling of replicated services,” in Proc. 1099 Int. Conf. Netw. Syst., 2014, pp. 122–137. Federico Lombardi ...
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A Performance Benchmark for NetFlow Data Analysis on Distributed Stream Processing Systems
... Thus, in the case of selecting an appropriate system, the deci- sion needs to consider not only the advantages and disadvan- tages of system itself, but also the deployment environment. The results show that each of the ...
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VStorm: Video Traffic Management By Distributed Data Stream Processing Systems
... distributed stream processing systems. These systems provide real-time results for nearly all types of data streams and computation in a massive ...data stream processing (DSP) ...
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Elasticity and resource aware scheduling in distributed data stream processing systems
... new systems for real-time distributed stream processing, ...popular stream processing systems in industry ...other stream processing systems, lacks many ...
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Proactive Online Scheduling for Shuffle Grouping in Distributed Stream Processing Systems
... NTRODUCTION Stream processing systems are today gaining momentum as a tool to perform analytics on continuous data ...A stream processing application is commonly modeled as a direct ...
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Prompt: Dynamic Data-Partitioning for Distributed Micro-batch Stream Processing Systems
... in stream data partitioning achieves the benefits of both the shuffling and the hashing techniques by splitting the skewed keys over multiple data ...erwise, stream processing will be interrupted. ...
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Tracing Distributed Data Stream Processing Systems
... VII. C ONCLUSIONS Our distributed tracing framework for interconnected DDPS simplifies monitoring and aids confident reasoning on perfor- mance issues. In contrast to the state of the art, our framework design and ...
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Stream ancestor function: A mechanism for fine-grained provenance in stream processing systems
... The important concept of this provenance query algorithm is that for a given event key of output stream element, the provenance query algorithm dynamically composes stream ancestor funct[r] ...
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Generic windowing support for extensible stream processing systems
... SUMMARY Stream processing applications process high volume, continuous feeds from live data sources, employ data- in-motion analytics to analyze these feeds, and produce near real-time insights with low ...
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Comparative Analysis of Big Data Stream Processing Systems
... each processing step such as machine learn- ing and graph processing ...different processing steps which leads to substantial speedup on future data ...
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Comparative Evaluation for the Performance of Big Stream Processing Systems
... well-known stream processing tools, there are several engine or frameworks that deserves to be involved future replications of this master ...continuous processing which is a must have for the future ...
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Minimizing Overhead for Fault Tolerance in Event Stream Processing Systems
... online processing systems was first used in Flux [SSC + ...ESP systems and by Jiménez-Peris et ...distributed systems, address a scenario where multi-threading is used but there is no static ...
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Parallel and Distributed Stream Processing: Systems Classification and Specific Issues
... an executor. According to our generic architecture, processing units are equivalent to workers. Each operator corresponds to an executor. Con- trary to Aurora’s architecture, acquisition units are explicitly ...
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