Probabilistic counting algorithms for data base applications
Journal of Computer and System Sciences
Data streaming algorithms for efficient and accurate estimation of flow size distribution
Proceedings of the joint international conference on Measurement and modeling of computer systems
Online identification of hierarchical heavy hitters: algorithms, evaluation, and applications
Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
An improved data stream summary: the count-min sketch and its applications
Journal of Algorithms
On the Feasibility of Optical Circuit Switching for High Performance Computing Systems
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
Finding hierarchical heavy hitters in data streams
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Finding frequent items in data streams
Proceedings of the VLDB Endowment
Safe and effective fine-grained TCP retransmissions for datacenter communication
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
Helios: a hybrid electrical/optical switch architecture for modular data centers
Proceedings of the ACM SIGCOMM 2010 conference
Hedera: dynamic flow scheduling for data center networks
NSDI'10 Proceedings of the 7th USENIX conference on Networked systems design and implementation
Uncovering Global Icebergs in Distributed Streams: Results and Implications
Journal of Network and Systems Management
ProgME: towards programmable network measurement
IEEE/ACM Transactions on Networking (TON)
Online measurement of large traffic aggregates on commodity switches
Hot-ICE'11 Proceedings of the 11th USENIX conference on Hot topics in management of internet, cloud, and enterprise networks and services
Efficiently measuring bandwidth at all time scales
Proceedings of the 8th USENIX conference on Networked systems design and implementation
DevoFlow: scaling flow management for high-performance networks
Proceedings of the ACM SIGCOMM 2011 conference
MicroTE: fine grained traffic engineering for data centers
Proceedings of the Seventh COnference on emerging Networking EXperiments and Technologies
Sketch-based querying of distributed sliding-window data streams
Proceedings of the VLDB Endowment
Software defined traffic measurement with OpenSketch
nsdi'13 Proceedings of the 10th USENIX conference on Networked Systems Design and Implementation
An adaptive flow counting method for anomaly detection in SDN
Proceedings of the ninth ACM conference on Emerging networking experiments and technologies
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Previous work on network measurements have explored several primitives of increasing complexity for measurement tasks at individual nodes, ranging from counters to hashing to arbitrary code fragments. In an SDN network, these primitives may require significant bandwidth, memory and processing resources, and the resources dedicated to these can affect the accuracy of the eventual measurement. In this paper, we first qualitatively discuss the tradeoff space of resource usage versus accuracy for these different primitives as a function of the spatial and temporal measurement granularity, then quantify these tradeoffs in the context of hierarchical heavy hitter detection.