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

Timestamp:

06/01/10 13:48:24 (14 years ago)

Author:

jtaylor@bbn.com

Comment:

--

Data Plane Measurements-2Q09-status

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+[[PageOutline]]
+
+= DMEAS Project Status Report = 
+
+Period: 2Q09
+== I. Major accomplishments ==
+
+=== A. Milestones achieved ===
+'''__Milestone 3:__ Identify external measurement equipment'''[[BR]]
+The purpose of this milestone is to identify and document external measurements equipment (if any)
+and/or recommend where external measurement devices could benefit spiral-1. The possible external
+measurements equipments identified are documented based on the information from equipment vendors
+and discussions with the prototypes.
+
+=== B. Deliverables made ===
+  * Milestone 3: Identify external measurement equipment.
+  * GENI Quarterly Report (June '09)
+
+== II. Description of work performed during last quarter ==
+
+=== A. Activities and findings ===
+'''Identify External Measurement Equipment'''[[BR]]
+“Identify external measurement equipment” (GENI-MS3- DMEAS-May09-v1.0) [geni09_2] milestone is
+achieved and the deliverable has been made to GENI. External measurement instruments are investigated
+depending on needs assessment in a GENI control framework. GENI has to have programmable
+measurement services. Examples of measurements include power attenuation and chromatic dispersion on
+a specific wavelength, BER of particular wavelength channels and time and spectral analysis of sources
+for varying transmission wavelengths.[[BR]] The key requirements that are considered while investigating the external measurements are:
+  * Identify data plane measurements a particular prototype can host depending on the network infrastructure and its benefit to the prototype.
+  * Identify the test equipments that can deliver measurements according to the above-mentioned requirements.
+'''Discussions with other clusters'''[[BR]]
+We had teleconferences and email exchanges with the cluster groups to identify what kind of experiments
+that can be hosted on a particular prototype that would require external measurement equipment. The
+detailed findings are documented in the milestone document “Identify external measurement equipment”
+(GENI-MS3- DMEAS-May09-v1.0) [geni09_2].
+
+'''Cluster C (CMU Lab):'''[[BR]]
+The standard physical layer measurements can be supported on Homenet testbed. The emulator testbed can
+also support such measurements. There are a number of measurements that can be collected using the
+wireless devices that participate in an experiment like signal level for incoming packets, signal quality,
+noise floor, etc. Different cards offer different types of information. Monitoring spectrum in a specific
+frequency band at a certain location provides most accurate way of capturing the interference and noise in
+the network. Mitigating the interference to maximize spatial reuse is very crucial.
+
+'''Cluster D (BEN):'''[[BR]]
+BEN is a dark fiber testbed. Cross-layer-enabled routing, novel transmission schemes and hybrid
+transmissions are some of the experiments that require physical layer measurements.
+
+'''Cluster E (Orbit Testbed and !WiMax):'''[[BR]]
+ORBIT testbed has 802.11 radio nodes that are wifi enabled, which are capable of standard physical layer
+measurements like power level, modulation, frequency and time occupancy and receive power on per-cell
+basis. 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
+transmit PHY parameters like frequency, power and time occupancy based on local observations of the
+radio band techniques are used for avoidance of reactive interference. External test equipments are useful
+in determining the PHY parameters. In 802.11 wireless LANs, senders can use one of multiple
+transmission rates for sending packets. The choice of the rate is determined by an estimate of channel
+condition by Signal to Interference and Noise Ratio (SINR) estimate. Device identity management through
+radiometric identification is based on physical layer parameters.[[BR]]
+PHY layer parameters will help in evaluating indoor and outdoor performance of the NEC IEEE 802.16e
+!WiMax base station under different traffic loads and channel conditions. These results will help to
+determine practical limits on BS virtualization in terms of total network capacity, variations due to signal
+quality, etc. NEC !WiMax base station has access to several PHY parameters – frequency, DL:UL ratio,
+channel duration and transmit output power.
+
+'''Participation in GENI Measurement Workshop'''[[BR]]
+A presentation on “Data Plane Measurements” was presented at GENI Measurement workshop on June
+26th 2009. The presentation outlined the review all (optical, wireless, etc.) substrate technologies in spiral-
+1 from a measurement and monitoring point of view. Data Plane Measurements are classified as embedded
+and external measurements that are required to monitor the physical layer characteristics on GENI.
+Embedded measurements are readily accessible measurements on network nodes. External measurement
+instruments are investigated depending on needs assessment in GENI control framework.
+
+“Networking of Instruments” and “Re-configuration and programmability” are very important for a GENI
+researcher. The desirable attributes for networking of instruments are remote access mechanism, flexible
+API to interface with the aggregate managers across GENI and storage. Remote access mechanisms may
+include Ethernet, USB or have a computer (server) at each instrument site. Interface to the external test
+equipments will involve coupling of programmable vendor API/drivers with the GENI control frameworks
+(Planetlab interface (rspecs), ORCA interface (NDL), ProtoGENI interface (Emulab)). Storage involves
+experiment execution, data collection and analysis.
+
+The desirable attributes for re-configuration and programmability are configuring measurement
+parameters, re-program a measurement resource and slice a measurement instrument for multiple user
+access. The measurement parameters that are relevant for the experiment are configured for an experiment.
+Reconfiguration of the parameters can be done within the range of configuration. Re-programmability of a
+measurement resource is based on the needs of analysis requirements. It could involve local analysis and
+then report end results instead of continuous raw data reporting or uploading custom measurement
+software to instruments. Slicing of a measurement instrument will involve multiple researchers accessing
+the same or different measurement parameters at the same time.
+
+'''Describe the network connection'''[[BR]]
+This is our future milestone which is due August 31st 2009. This milestone will document the
+network connections between specific external test equipment identified/recommended above and spiral-1
+substrate components.
+
+=== B. Project participants ===
+  * Principal Investigator: Deniz Gurkan, Email id: dgurkan@central.uh.edu
+  * SR Personnel: Paul Roberts, Email id: gproberts@tlc2.uh.edu
+  * Graduate Student: Roopa Krishnappa, Email id: rkrishn9@mail.uh.edu
+=== C. Publications (individual and organizational) ===
+None. 
+=== D. Outreach activities ===
+Connection with LEARN through D. Gurkan's ISSNet lab (Interoperable Smart Sensors and
+Networking Lab).Evaluation agreement with Infinera to host a DTN node at UH and Rice has
+been signed with LEARN (Lonestar Education and Research Network). The DTN node has been
+installed at ISSNet Lab and Rice University with one link connection.
+
+=== E. Collaborations ===
+  * '''LEARN''' (Lonestar Education and Research Network)
+  * '''Real-time Measurements''' : Dr. Keren Bergman, Columbia University, New York
+  * '''Cluster D''' : BEN[[BR]] Discussions with ORCA/BEN (with Ilia Baldine and Jeff Chase) on creation of measurement resource interfaces.
+=== F. Other Contributions ===
+None.