Delay Measurement Methodology Revisited: Time-Slotted Randomness Cancellation

Fabini, Joachim; Abmayer, Michael

doi:10.1109/tim.2013.2263914

Cited by 16 publications

(17 citation statements)

References 9 publications

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“…This finding is one consequence of the analysis conducted in [16] for active delay measurements with random start-time samples of time-slotted links.…”

Section: A Streaming End-to-end Delaymentioning

confidence: 90%

“…However, the majority of this research addresses the delay in ad hoc networks, which, due to their contention-based MAC algorithms, are beyond the scope of this paper's time-slotted concepts. This paper develops opportunities for applications and networks to exploit the randomness cancellation effect [16] that has been observed to impair on measurements in time-slotted networks. Measurement results presented therein confirm earlier findings [17] that disprove Kleinrock's independence assumption for specific cases.…”

Section: Related Workmentioning

confidence: 99%

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The Right Time: Reducing Effective End-to-End Delay in Time-Slotted Packet-Switched Networks

Fabini

Zseby

2016

IEEE/ACM Trans. Networking

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Modern access network technologies like Long Term Evolution (LTE) and High Speed Packet Access (HSPA) use timeslotting mechanisms to optimize resource sharing and overall network performance. In time-slotted networks, the one-way delay of all packets in a packet stream depends on the absolute point in time when the first packet of the stream is sent. With appropriate feedback signals, applications can exploit this effect to reduce their effective end-to-end delay. Time-critical applications such as realtime sensor data acquisition or voice-over-IP (VoIP) communications can shift their acquisition interval in order to adapt to the network timing. Information about the actual time-slotting periods can be gathered by active network measurements or through implementation of cross-layer information exchange. In this paper, a method is proposed to determine the optimum send time for particular destinations and to support applications in adjusting their send time accordingly. Theoretical findings are supported by the offline analysis of measurement data and by a proof-of-concept implementation that confirms the feasibility and effectiveness of the proposed solution in operational LTE and HSPA networks.

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“…This finding is one consequence of the analysis conducted in [16] for active delay measurements with random start-time samples of time-slotted links.…”

Section: A Streaming End-to-end Delaymentioning

confidence: 90%

Section: Related Workmentioning

confidence: 99%

The Right Time: Reducing Effective End-to-End Delay in Time-Slotted Packet-Switched Networks

Fabini

Zseby

2016

IEEE/ACM Trans. Networking

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“…Earlier work ( [9], [10]) has presented methodological drawbacks of measurements in mobile cellular networks and compared HSPA delay figures for several HSPA network vendors and operators. Recent publications propose delay measurement techniques in reactive networks [11] and present a detailed discussion on theoretical and practical consequences of the randomness cancellation effect in time-slotted networks [12].…”

Section: Related Work and Main Contributionsmentioning

confidence: 99%

“…If the measurement stream's period is a multiple of the link's time slot period, the delay of all samples in the set will appear as almost constant. As detailed in [12], in this case the delay of all samples depends on the global time when the measurement was started. This sample set therefore obscures the link's systematic delay variation, which amounts to a full link time slot period.…”

Section: Representative Measurementsmentioning

confidence: 99%

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Representative Delay Measurements (RDM): Facing the Challenge of Modern Networks

Fabini¹,

Zseby²,

Hirschbichler³

2015

Proceedings of the 8th International Conference on Performance Evaluation Methodologies and Tools

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Network access technologies have evolved significantly in the last years. They deploy novel mechanisms like reactive capacity allocation and time-slotted operation to optimize overall network capacity. From a single node's perspective, such optimizations decrease network determinism and measurement repeatability. Evolving application fields like machine to machine (M2M) communications or real-time gaming often have strict real-time requirements to operate correctly. Highly accurate delay measurements are necessary to monitor network compliance with application demands or to detect deviations of normal network behavior, which may be caused by network failures, misconfigurations or attacks. This paper analyzes factors that challenge active delay measurements in modern networks. It introduces the Representative Delay Measurement tool (RDM) that addresses these factors and proposes solutions that conform to requirements of the recently published RFC7312. Delay measurement results acquired using RDM in live networks confirm that advanced measurement methods can significantly improve the quality of measurement samples by isolating systematic network behavior. The resulting high-quality samples are one prerequisite for accurate statistics that support proper operation of subsequent algorithms and applications.

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