Changes between Initial Version and Version 1 of Data Plane Measurements-2Q09-status

06/01/10 13:48:24 (11 years ago)



  • Data Plane Measurements-2Q09-status

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     3= DMEAS Project Status Report =
     5Period: 2Q09
     6== I. Major accomplishments ==
     8=== A. Milestones achieved ===
     9'''__Milestone 3:__ Identify external measurement equipment'''[[BR]]
     10The purpose of this milestone is to identify and document external measurements equipment (if any)
     11and/or recommend where external measurement devices could benefit spiral-1. The possible external
     12measurements equipments identified are documented based on the information from equipment vendors
     13and discussions with the prototypes.
     15=== B. Deliverables made ===
     16  * Milestone 3: Identify external measurement equipment.
     17  * GENI Quarterly Report (June '09)
     19== II. Description of work performed during last quarter ==
     21=== A. Activities and findings ===
     22'''Identify External Measurement Equipment'''[[BR]]
     23“Identify external measurement equipment” (GENI-MS3- DMEAS-May09-v1.0) [geni09_2] milestone is
     24achieved and the deliverable has been made to GENI. External measurement instruments are investigated
     25depending on needs assessment in a GENI control framework. GENI has to have programmable
     26measurement services. Examples of measurements include power attenuation and chromatic dispersion on
     27a specific wavelength, BER of particular wavelength channels and time and spectral analysis of sources
     28for varying transmission wavelengths.[[BR]] The key requirements that are considered while investigating the external measurements are:
     29  * Identify data plane measurements a particular prototype can host depending on the network infrastructure and its benefit to the prototype.
     30  * Identify the test equipments that can deliver measurements according to the above-mentioned requirements.
     31'''Discussions with other clusters'''[[BR]]
     32We had teleconferences and email exchanges with the cluster groups to identify what kind of experiments
     33that can be hosted on a particular prototype that would require external measurement equipment. The
     34detailed findings are documented in the milestone document “Identify external measurement equipment”
     35(GENI-MS3- DMEAS-May09-v1.0) [geni09_2].
     37'''Cluster C (CMU Lab):'''[[BR]]
     38The standard physical layer measurements can be supported on Homenet testbed. The emulator testbed can
     39also support such measurements. There are a number of measurements that can be collected using the
     40wireless devices that participate in an experiment like signal level for incoming packets, signal quality,
     41noise floor, etc. Different cards offer different types of information. Monitoring spectrum in a specific
     42frequency band at a certain location provides most accurate way of capturing the interference and noise in
     43the network. Mitigating the interference to maximize spatial reuse is very crucial.
     45'''Cluster D (BEN):'''[[BR]]
     46BEN is a dark fiber testbed. Cross-layer-enabled routing, novel transmission schemes and hybrid
     47transmissions are some of the experiments that require physical layer measurements.
     49'''Cluster E (Orbit Testbed and !WiMax):'''[[BR]]
     50ORBIT testbed has 802.11 radio nodes that are wifi enabled, which are capable of standard physical layer
     51measurements like power level, modulation, frequency and time occupancy and receive power on per-cell
     52basis. Adaptive transmit power control in 802.11 Wireless LANs ![4] (WLANs) on a per-link basis helps increase network capacity and improves battery life of Wifi enabled mobile devices. Adaptively adjusting
     53transmit PHY parameters like frequency, power and time occupancy based on local observations of the
     54radio band techniques are used for avoidance of reactive interference. External test equipments are useful
     55in determining the PHY parameters. In 802.11 wireless LANs, senders can use one of multiple
     56transmission rates for sending packets. The choice of the rate is determined by an estimate of channel
     57condition by Signal to Interference and Noise Ratio (SINR) estimate. Device identity management through
     58radiometric identification is based on physical layer parameters.[[BR]]
     59PHY layer parameters will help in evaluating indoor and outdoor performance of the NEC IEEE 802.16e
     60!WiMax base station under different traffic loads and channel conditions. These results will help to
     61determine practical limits on BS virtualization in terms of total network capacity, variations due to signal
     62quality, etc. NEC !WiMax base station has access to several PHY parameters – frequency, DL:UL ratio,
     63channel duration and transmit output power.
     65'''Participation in GENI Measurement Workshop'''[[BR]]
     66A presentation on “Data Plane Measurements” was presented at GENI Measurement workshop on June
     6726th 2009. The presentation outlined the review all (optical, wireless, etc.) substrate technologies in spiral-
     681 from a measurement and monitoring point of view. Data Plane Measurements are classified as embedded
     69and external measurements that are required to monitor the physical layer characteristics on GENI.
     70Embedded measurements are readily accessible measurements on network nodes. External measurement
     71instruments are investigated depending on needs assessment in GENI control framework.
     73“Networking of Instruments” and “Re-configuration and programmability” are very important for a GENI
     74researcher. The desirable attributes for networking of instruments are remote access mechanism, flexible
     75API to interface with the aggregate managers across GENI and storage. Remote access mechanisms may
     76include Ethernet, USB or have a computer (server) at each instrument site. Interface to the external test
     77equipments will involve coupling of programmable vendor API/drivers with the GENI control frameworks
     78(Planetlab interface (rspecs), ORCA interface (NDL), ProtoGENI interface (Emulab)). Storage involves
     79experiment execution, data collection and analysis.
     81The desirable attributes for re-configuration and programmability are configuring measurement
     82parameters, re-program a measurement resource and slice a measurement instrument for multiple user
     83access. The measurement parameters that are relevant for the experiment are configured for an experiment.
     84Reconfiguration of the parameters can be done within the range of configuration. Re-programmability of a
     85measurement resource is based on the needs of analysis requirements. It could involve local analysis and
     86then report end results instead of continuous raw data reporting or uploading custom measurement
     87software to instruments. Slicing of a measurement instrument will involve multiple researchers accessing
     88the same or different measurement parameters at the same time.
     90'''Describe the network connection'''[[BR]]
     91This is our future milestone which is due August 31st 2009. This milestone will document the
     92network connections between specific external test equipment identified/recommended above and spiral-1
     93substrate components.
     95=== B. Project participants ===
     96  * Principal Investigator: Deniz Gurkan, Email id:
     97  * SR Personnel: Paul Roberts, Email id:
     98  * Graduate Student: Roopa Krishnappa, Email id:
     99=== C. Publications (individual and organizational) ===
     101=== D. Outreach activities ===
     102Connection with LEARN through D. Gurkan's ISSNet lab (Interoperable Smart Sensors and
     103Networking Lab).Evaluation agreement with Infinera to host a DTN node at UH and Rice has
     104been signed with LEARN (Lonestar Education and Research Network). The DTN node has been
     105installed at ISSNet Lab and Rice University with one link connection.
     107=== E. Collaborations ===
     108  * '''LEARN''' (Lonestar Education and Research Network)
     109  * '''Real-time Measurements''' : Dr. Keren Bergman, Columbia University, New York
     110  * '''Cluster D''' : BEN[[BR]] Discussions with ORCA/BEN (with Ilia Baldine and Jeff Chase) on creation of measurement resource interfaces.
     111=== F. Other Contributions ===