Enhancing Network Visibility Based On Open Converged Network ApplianceOpen Networking Summit
Dr. Dongheon Lee' and Dr. Junho Suh's presentation from the 2017 Open Networking Summit.
As the mobile traffic carried by cellular networks has been growing rapidly and the networks gets bigger and more complex, network operators have been forced to search for solutions to substantially enhance network visibility. This talk introduces SKT integrated Network Analyzer (TiNA) and Converged Appliance Platform (T-CAP) which help us improving the efficiency of network operation, troubleshooting, and analyzing traffic. TiNA is composed of virtual network packet broker, flow analyzer, high speed packet dump system, connection performance analyzer, and 3D-based network management system. T-CAP is an open architecture of a server-switch type hardware. We will review how to implement those TiNA functions based on open source (e.g., DPDK, Spark Streaming) and T-CAP. Finally, we will also discuss about the use-cases of TiNA and T-CAP for the private cloud & telco network infrastructure.
Enhancing Network Visibility Based On Open Converged Network ApplianceOpen Networking Summit
Dr. Dongheon Lee' and Dr. Junho Suh's presentation from the 2017 Open Networking Summit.
As the mobile traffic carried by cellular networks has been growing rapidly and the networks gets bigger and more complex, network operators have been forced to search for solutions to substantially enhance network visibility. This talk introduces SKT integrated Network Analyzer (TiNA) and Converged Appliance Platform (T-CAP) which help us improving the efficiency of network operation, troubleshooting, and analyzing traffic. TiNA is composed of virtual network packet broker, flow analyzer, high speed packet dump system, connection performance analyzer, and 3D-based network management system. T-CAP is an open architecture of a server-switch type hardware. We will review how to implement those TiNA functions based on open source (e.g., DPDK, Spark Streaming) and T-CAP. Finally, we will also discuss about the use-cases of TiNA and T-CAP for the private cloud & telco network infrastructure.
REDUCTION OF MONITORING REGISTERS ON SOFTWARE DEFINED NETWORKSijcsit
Characterization of data network monitoring registers allows for reductions in the number of data, which
is essential when the information flow is high, and implementation of processes with short response times,
such as interchange of control information between devices and anomaly detection is required. The present
investigation applied wavelet transforms, so as to characterize the statistic monitoring register of a
software-defined network. Its main contribution lies in the obtention of a record that, although reduced,
retains detailed, essential information for the correct application of anomaly detectors.
Synchronization For High Frequency Trading Networks: A How To Guidejeremyonyan
For many financial institutions, high frequency trading volume is growing at an accelerating pace and demanding new requirements on their IT infrastructure. Drivers in their business such as pricing of equities moving from decimal to penny resolution and the growing need for markets to provide improved liquidity are resulting in huge opportunities for financial gain. Taking advantage of these opportunities is, in part, dependent on the care taken in the network’s time synchronization and the management of latency. Wall Street firms who were involved in the early phases of High Frequency Trading have been early adopters of high performance timing solutions utilizing a variety of signals including GPS, IRIG, 1PPS, NTP and now the Precision Time Protocol (PTP) which allows for precision time transfer on Ethernet networks. The implementation of specific timing solutions depends on the trading infrastructure and the network topology. Through a combination of hardware, software, and careful network management, it is reasonable to expect microsecond level time-transfer from traceable time sources to Linux applications.
A general presentation on IEC 61850 application to substation automation.
Describes Data Semantics, communication services and the substation configuration language
REDUCTION OF MONITORING REGISTERS ON SOFTWARE DEFINED NETWORKSijcsit
Characterization of data network monitoring registers allows for reductions in the number of data, which
is essential when the information flow is high, and implementation of processes with short response times,
such as interchange of control information between devices and anomaly detection is required. The present
investigation applied wavelet transforms, so as to characterize the statistic monitoring register of a
software-defined network. Its main contribution lies in the obtention of a record that, although reduced,
retains detailed, essential information for the correct application of anomaly detectors.
Synchronization For High Frequency Trading Networks: A How To Guidejeremyonyan
For many financial institutions, high frequency trading volume is growing at an accelerating pace and demanding new requirements on their IT infrastructure. Drivers in their business such as pricing of equities moving from decimal to penny resolution and the growing need for markets to provide improved liquidity are resulting in huge opportunities for financial gain. Taking advantage of these opportunities is, in part, dependent on the care taken in the network’s time synchronization and the management of latency. Wall Street firms who were involved in the early phases of High Frequency Trading have been early adopters of high performance timing solutions utilizing a variety of signals including GPS, IRIG, 1PPS, NTP and now the Precision Time Protocol (PTP) which allows for precision time transfer on Ethernet networks. The implementation of specific timing solutions depends on the trading infrastructure and the network topology. Through a combination of hardware, software, and careful network management, it is reasonable to expect microsecond level time-transfer from traceable time sources to Linux applications.
A general presentation on IEC 61850 application to substation automation.
Describes Data Semantics, communication services and the substation configuration language
Software-Defined Networking Changes for the Paradigm for Mission-Critical Ope...Wheeler Flemming
Learn why SEL’s SDN technology promises to revolutionize Ethernet for industrial control system networks. The white paper was originally published in The Industrial Ethernet Book, Issue 98, February 2017.
Multi port network ethernet performance improvement techniquesIJARIIT
An Ethernet has its own importance and space in network subsystem. In today’s resource-intensive engineering the
applications need to deal with the real-time data processing, server virtualization, and high-volume data transactions. The realtime
technologies such as video on demand and Voice over IP operations demand the network devices with efficient network
data processing as well as better networking bandwidth. The performance is the major issues with the multi-port network
devices. It requires the sufficient network bandwidth and CPU processing speed to process the real-time data at the context.
And this demand is goes on increasing. The new multi-port hardware technologies can help to improvements in the
performance of the virtualized server environments. But, these hardware technologies having their own limitations in terms of
CPU utilization levels and power consumption. It also impacts on latency and the overall system cost. This thesis will provide
the insights to some of the key configuration decisions at hardware as well as software designs in order to facilitate multi-port
network devices performance improvement over the existing infrastructure. This thesis will also discuss the solutions such as
Virtual LAN and balanced or symmetric network to reduce the cost and hardware dependency to improve the multi-port
network system performance significantly over the currently existing infrastructure. This performance improvement includes
CPU utilization and bandwidth in the heavy network loads.
An ethernet based_approach_for_tm_data_analysis_v2Priyasloka Arya
Testing and performance evaluation of flight vehicles largely depends on the data gathered through telemetry. Tele-metered data describes the internal story of device under test. As the tele-metered data is transmitted to ground receiving stations through radio frequency and Inter Range Instrumentation Group (IRIG) standard data format are well known, anybody who is tuned to transmitted frequency, can receive data and minimal information about the format can reveal the total information of device under test. To deal with this situation, current trend is to encrypt the mission critical information on board before transmitting. In this paper, the authors have discussed the advantage of Local Area Network (LAN) based Telemetry base band system which provides scalability, modularity, and flexibility to the user for the analysis of encrypted data.
IoT ( M2M) - Big Data - Analytics: Emulation and DemonstrationCHAKER ALLAOUI
Study and simulation of the systems modern IoT with examples of connected objects such as: GPS(GLOBAL POSITIONING SYSTEM), Philips Hue, Thermometer, and connected cars implemented with the technology nodeJS and Node-Red with the communication protocol of M2M ( MQTT).
As well as an analytical study based on Elasticsearch, MongoDB, Apache Hadoop, Apache Hive and Jaspersoft.
This PPT is based on the communication between a PLC and a SCADA system. The numerous communication protocols such as Modbus, Profibus, ControlNET, DeviceNET, HART, Ethernet, and Profinet are briefly explained in this ppt.
ANALYZING NETWORK PERFORMANCE PARAMETERS USING WIRESHARKIJNSA Journal
Network performance can be a prime concern for network administrators. The performance of the network depends on many factors. Some of the issues faced in the network performance are - Slow Internet, Bottlenecks, Loss of packets and/or retransmissions, and Excessive bandwidth consumption. For troubleshooting a network, an in-depth understanding of network protocols is required. The main objective of this research is to analyze the performance and various other parameters related to the integrity of a network in a home-based network environment using Wireshark. Network traffic is captured for different devices. The captured traffic is then analysed using Wireshark’s basic statistical tools and advanced tools for various performance parameters.
Embedded Web Server based Interactive data acquisition and Control SystemIOSR Journals
ABSTRACT: Design of on-line embedded web server is a one of the difficult task of many real time data acquisition and control system applications. The global system of interconnected computer networks is called as World Wide Web which uses the standard Internet Protocol Suite (TCP/IP) to aid billion of users worldwide and enables the user to interface many real time embedded applications like data acquisition,Industrial automations and safety measures etc,. This paper tells the design and development of on-line Interactive Data Acquisition and Control System (IDACS) using ARM9 based embedded web server. It is permitted to a network, intelligent and digital distributed control system. Single chip IDACS method increses the processing speed of a system and also avoids the problem of poor real time and reliability.This system uses ARM9 Processor and RTLinux. Web server application is ported into an ARM processor using embedded ‘C’ language. Web pages are designed in Hyper text markup language (HTML). Keywords - Embedded ARM9 Processor, RTLinux RTOS, Embedded web server, IDACS.
Embedded Web Server based Interactive data acquisition and Control SystemIOSR Journals
Design of on-line embedded web server is a one of the difficult task of many real time data
acquisition and control system applications. The global system of interconnected computer networks is called as
World Wide Web which uses the standard Internet Protocol Suite (TCP/IP) to aid billion of users worldwide and
enables the user to interface many real time embedded applications like data acquisition,Industrial automations
and safety measures etc,. This paper tells the design and development of on-line Interactive Data Acquisition
and Control System (IDACS) using ARM9 based embedded web server. It is permitted to a network, intelligent
and digital distributed control system. Single chip IDACS method increses the processing speed of a system and
also avoids the problem of poor real time and reliability.This system uses ARM9 Processor and RTLinux. Web
server application is ported into an ARM processor using embedded ‘C’ language. Web pages are designed in
Hyper text markup language (HTML)
'Chitchat' was my initiation at the office to help juniors and colleagues to improve their English Communication Skills. There are two PPTs covering tenses and basic sentence structure. Along with that we have created an environment at workplace where team has to communicate in English, Write letters on their favorite topics (reviewed by other people of the team having good skills), and tea time group discussions.
This PPT is designed in very general manner and can be used in school, college, and even in office (like we do) to boost people with English.
'Chitchat' was my initiation at the office to help juniors and colleagues to improve their English Communication Skills. There are two PPTs covering tenses and basic sentence structure. Along with that we have created an environment at workplace where team has to communicate in English, Write letters on their favorite topics (reviewed by other people of the team having good skills), and tea time group discussions.
This PPT is designed in very general manner and can be used in school, college, and even in office (like we do) to boost people with English.
A good puzzle to solve which will clarify your networking concepts. Questions:
1> How and in which sequence Learning, Flooding and Forwarding will happen in Switch?
2> Find MAC and IP on every communication link shown in the figure?
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
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2. NETWORK TELEMETRY
Data from the network
It describes how information from various data sources
(network equipments) can be collected using a set of
automated communication processes and transmitted to
any receiving equipment for analysis purpose.
3. NETWORK TELEMETRY - WHY?
• What is going on?
– Billions of devices connecting to internet and VPN
– Massive scale and highly dynamic nature of the IoT applications
• Vast amounts of data gathered from the network at varying
speeds, with different amounts of accuracy and patterns
Where is the effect?
– Increased network incidents and unregulated network changes
– Lack of network visibility and awareness of available network
resources
– Congestion problems and compromised network security
‘Telemetry’ is the remedy:
– To overcome data center issues,
• Silent packet drops, Load imbalance
• Protocol bugs, Inflated latencies
– Schedules network resources to adapt to real-time service
demands
Measures the network performance and assess network quality
– Provides quick network diagnosis and identifies network glitch
4. NETWORK TELEMETRY - BUILDING
BLOCKS
Telemetry Enterprise Application
Data Analyzer
Control
Panel
Data
Analytics
Exception
Window
DashBoard
Server
Database
Data Collector
Data Source
Telemetry Agent
Data Source
Telemetry Agent
Data Source
Telemetry Agent
Hybrid (Push + Poll) Communication
5. INSIGHTS ON BUILDING BLOCKS
The Network Telemetry architecture is made up of the following three
key functional components:
Data Source: The Data Source can be any type of network
device that generates data.
Data Collector: The Data Collector may be a part of a control
and/or management system and/or a dedicated set of entities. It
gathers data from various Data Sources, and performs processing
tasks to feed raw and/or processed data to the Data Analyzer.
Data Analyzer: The Data Analyzer processes data from various
data collectors to provide actionable insight. This ranges from
generating simple statistical metrics to inferring problems to
recommending solutions to said problems.
9. Inband Network Telemetry
TELEMETRY FROM BAREFOOT NETWORK
● Barefoot’s INT is a framework designed to allow collection of network states with
Dataplane - without intervention of contolplane.
● In INT model, packets contain header fields that are interpreted as telemetry
instructions by device, which guides device to collect and append data into
packet while traversing in the network.
● INT end nodes can be defined as INT source or INT sink,
○ INT source embeds the instruction in packet
○ INT sink parse the information appended by devices for monitoring
10. INT - KEY METADATA
Metadata Purpose Feasibility with XP
Switch id The unique ID of a switch. XP_MISC_SLAVE_CHIP_E Register
Ingress port id The physical/logical port on which the INT
packet was received.
Can be identified in Dataplane form Token
Ingress timestamp The device local time when the INT packet
was received on the physical/logical port.
Can be identified in Dataplane form Token
Egress port ID The ID of the output port via which the INT
packet was sent out.
Can be identified in Dataplane form Token
Hop latency Time taken for the INT packet to be
switched within the device.
Taking subtraction of PTP/XPH/HTS egress and
ingress timestamps
Egress port TX Link
utilization
Current utilization of the egress port via
which the INT packet was sent out.
Math between port statistics and timestamp value
Queue occupancy The buildup of traffic in the queue (in bytes,
cells, or packets) that the INT packet
observes in the device while being
forwarded.
TxQ - Using available per queue or glocal counters
Queue congestion
status
The fraction of current queue occupancy
relative to the queuesize limit. This indicates
how much buffer space was used relative to
the maximum buffer space available to the
queue.
TxQ - Using available per queue or global counters
for packet-bytes and compare it with the actual
capacity available
11. TELEMETRY FROM BROADCOM
● Broadcom’s BroadView software suite consists of the BroadView agent, infrastructure
modules for SDN/Cloud platforms and reference applications.
● BroadView agent is the key component
● BroadView has two telemetry models
● Push/Pull Model - Smart Analytics
○ Runs in Network OS or Broadcom SDK
○ Leverages telemetry features of
Broadcom silicon
○ Exports data to analytics applications
through REST APIs with data exchanged
in the JSON-RPC (2.0)
○ Supports periodic push
● Inband Telemetry Model - Packet Tracer
○ Similar to Barefoot’s INT
○ Applications can inject a purpose-built
packet and get monitoring information
from dataplane
12. BROADVIEW WITH GANGLIA
● Ganglia:
○ A scalable monitoring system for high
performance computing systems such as
clusters and Grids.
○ Leverages XML for data representation
○ XDR for compact/portable data transport
○ RRDtool for data storage and visualization
● Brief about integration:
○ The BroadView agent running on each
switch sends its statistics report using a
REST API to the Ganglia server, both
periodically and when a thresholds
reached. The Ganglia daemon gathers the
data and displays it in a graphical format.
The graph can be shown as line graph or a
bar graph.
● Look at references of the last slide for
exploring more on BroadView and such
integrations.
13. BROADVIEW - KEY METADATA
Metadata Purpose Feasibility with XP
Buffer Statistics
Tracking
Counters related to buffers and can show
both ingress as well as egress values for
unicast and multicast traffic
Can be used counters of TxQ and BM
module
MicroBurst Detection The actual traffic in a network when viewed
at a finer granularity (such as every
millisecond) is far more bursty. Microbursts
are these short spikes in network traffiC
which are often missed by standard
monitoring tools.
TBD
MMU Buffer
Congestion
Enabling operators to proactively detect
congestion and take actions to improve
network performance
Compare counters of TxQ and BM
module with the actual capability of their
handling
Port Counters Counters for a port for all priority groups Statistics belong to LinkManager can be
used
14. ARISTA’S STREAMING TELEMETRY
● The key is state based software architecture of Arista EOS
● Arista EOS (Extensible Operating System):
○ Use the streaming based approach to collect real-time data in granularity of micro-
second.
○ Each and every state changes are stored in real time in one common database - sysDB
○ Data base has historical state data which gives information what has happened at any
point of time
● NetDB (Network wide database)
○ Stays in sync with sysDB of various switches, and gets updated instantaneously when
sysDB changes
○ This real time sync is the true value addition for Arista’s solution.
● CloudVision Telemetry Suite:
○ Process raw stream data of netDB into actionable information
○ Gives graphical representation in the form of Cloudvision Dashboard
○ For integration with other framework gives API interface for integration with NetDB
○ API interface available over RestAPIs, WebSocket or gRPC.
15. REFERENCE LINKS
- RFC Telemetry:
https://tools.ietf.org/html/draft-wu-t2trg-network-telemetry-00
- Technical paper illustrating Telemetry:
https://www.cs.ucsb.edu/~ravenben/publications/pdf/everflow-sigcomm15.pdf
- INT specifications and way of implementation: http://p4.org/wp-content/uploads/fixed/INT/INT-
current-spec.pdf
- Application Notes related to Broadview https://www.broadcom.com/products/ethernet-
connectivity/software/broadview#documentation
- BroadView Open Source API Guide
http://broadcom-switch.github.io/BroadView-Instrumentation/doc/html/index.html
- Ganglia
http://www.ganglia.info
- Arista Telemetry Portal
https://www.arista.com/en/solutions/telemetry-analytics
- Arista Integration with Spunk
https://www.arista.com/en/products/eos/splunkapp