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  1. Proceedings of the 4th Workshop on Distributed Cloud Computing (DCC '16)
  2. New techniques to curtail the tail latency in stream processing systems
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Next generation virtual network architecture for multi-tenant distributed clouds: challenges and emerging techniques
vMCN: virtual mobile cloud network for realizing scalable, real-time cyber physical systems
Software-defined consistency group abstractions for virtual machines
Slicing in locavore infrastructures
Adaptive resilient routing via preorders in SDN
The CAT theorem and performance of transactional distributed systems
New techniques to curtail the tail latency in stream processing systems
Optimized VM memory allocation based on monitored cache hit ratio
The misbelief in delay scheduling
Towards migrating computation to distributed memory caches
DSB-SEIS: a deduplicating secure backup system with encryption intensity selection

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New techniques to curtail the tail latency in stream processing systems

Content Provider ACM Digital Library
Author Gupta, Indranil Du, Guangxiang
Abstract This paper presents a series of novel techniques for reducing the tail latency in stream processing systems like Apache Storm. Concretely, we present three mechanisms: (1) adaptive timeout coupled with selective replay to catch straggler tuples; (2) shared queues among different tasks of the same operator to reduce overall queueing delay; (3) latency feedback-based load balancing, intended to mitigate heterogenous scenarios. We have implemented these techniques in Apache Storm, and present experimental results using sets of micro-benchmarks as well as two topologies from Yahoo! Inc. Our results show improvement in tail latency up to 72.9%.
Starting Page 1
Ending Page 6
Page Count 6
File Format PDF
ISBN 9781450342209
DOI 10.1145/2955193.2955206
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2016-07-25
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Stream processing systems Tail latency Apache storm
Content Type Text
Resource Type Article
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