Conference Information
PAM 2018: Passive and Active Measurement conference
https://pam2018.inet.berlin/
Submission Date:
2017-10-10
Notification Date:
Conference Date:
2018-03-26
Location:
Berlin, Germany
Years:
19
CCF: c   CORE: b   QUALIS: a2   Viewed: 9673   Tracked: 23   Attend: 3

Conference Location
Call For Papers
GENERAL INFORMATION

PAM brings together both the network research and operations communities to discuss novel network measurement and analysis techniques, with a particular focus on early stage research.

PAM has traditionally focused on research and practical applications of specific network measurements. However, over the last years, PAM has broadened its scope to encompass measurements of networked applications and systems, content distribution networks, online social networks, overlay networks, and more. Indeed, measurement technology is needed at all layers of the stack, e.g., for power profiling of hardware components, at the MAC/network/transport layers, as well as up the stack for application profiling and even to collect user feedback. Measurement technologies are being designed for the digital home, residential access networks, wireless and mobile access, enterprise, ISP, and data-center networks.

PAM encourages a broad range of submissions across all these topics. We aim at understanding the role that measurement techniques can play in networked environments and applications, across different layers, and how they can serve as building blocks for broader measurement needs.

Although PAM traditionally attracts early stage contributions, works that are a reappraisal or independent validation of previous results, or which enhance the reproducibility of network measurement research, for instance by publishing new datasets on an existing topic, are explicitly included in PAM’s scope.
Original papers are invited, but not limited to, the following topics

    Passive and active measurement tools: techniques, design and experience.
    Characterization studies of network usage, or end-host behavior.
    Application-layer, e.g., distributed applications, social networks or game performance.
    Protocol behavior, e.g., DNS, DHCP, or routing protocols.
    Troubleshooting and anomaly detection.
    Network security and privacy.
    Networked infrastructures, e.g., data centers, cloud services, content distribution.
    Network virtualisation, SDN, NFV, and middleboxes.
    End-user performance and quality of experience.
    Management and operation of distributed measurement infrastructures.
    Techniques for measurements and measurement-based inference of macroscopic Internet structure, dynamics, and evolution.
    Management and visualization of measurement data.
    New measurement initiatives.
    Measurement analysis techniques: e.g., traffic classification.
    Modeling of network measurement.
    Correlation of measurements across multiple layers, protocols or networks.
    Internet-oriented wireless and mobility measurements.
Last updated by Xin Yao in 2017-08-21
Acceptance Ratio
YearSubmittedAcceptedAccepted(%)
2018492040.8%
2017872023%
2016933032.3%
2013742432.4%
2012822530.5%
2011562442.9%
2010782329.5%
2009772228.6%
2008712332.4%
2007802126.3%
20041743017.2%
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