Based on the network architecture, the protocols, and the node count on a site being studied, an analyst must determine what constitutes a broadcast storm. This requires the analyst to be quite familiar with the topology and types of protocols and applications being deployed. A general benchmark is that a broadcast sequence occurring from a single device or a group of devices, either rapidly or on an intermittent cycle at more than 500 frames per second, is a storm event. At the very least, the sequence should be investigated if it is occurring at 500 frames per second (relative to just a few devices and a specific protocol operation).
After the threshold has been set on the network sniffer, a data-trace capture should be started. After the capture has been invoked, and a broadcast storm event has occurred in the Expert system with notification or in the statistics screen, the time of the storm and the devices related to the storm should be carefully noted. The addresses should be noted in a log along with the time of the storm and the frame-per-second count. Most protocol analyzers provide this information before the capture is even stopped. As soon as the broadcast storm occurrence takes place, the analyzer should be immediately stopped to ensure that the internal data-trace information is still within the memory buffer of the protocol analyzer. The data trace should then be saved to a disk drive or printed to a file to ensure that the information can be reviewed. The data-trace capture should then be opened and the actual absolute storm time noted from the Expert system or the statistical screen. Based on the absolute time, it may be possible on the protocol analyzer to turn on an absolute time feature. When turned on in the data trace, the absolute time feature enables an analyst to search on the actual storm for the absolute time event. This may immediately isolate and identify the cause of the broadcast storm.
Certain network sniffers offer hotkey filtering to move directly within the data-trace analysis results of the storm event. Either way, by using absolute time or hotkey filtering, the broadcast storm should be located within the data-trace capture.
Other metrics can be turned on in a protocol analysis display view when examining a broadcast storm, such as relative time and packet size. After the start of the storm has been located, the key devices starting and invoking the storm should be logged. Sometimes only one or two devices cause a cyclical broadcast storm occurrence throughout an internetwork, resulting in a broadcast storm event across many different network areas. The devices communicating at the time closest to the start of the storm inside the data-trace analysis results may be the devices causing the event.
After the storm has been located, the Relative Time field should be zeroed out and the storm should be closely reviewed by examining all packets or frames involved in the storm. If 500 or 1,000 frames are involved, all frames should be closely examined by paging through the trace. After the end of the storm has been located, the time between the start of the storm and the end of the storm should be measured by using a relative time process. This is achieved by just zeroing out the relative time at the beginning of the storm occurrence and examining the cumulative relative time at the end of the sequence. This provides a clear picture of the storm device participation and processes, the packet-size generation during the storm, and the source of the storm location. The initial several packets located for the broadcast storm should be investigated for the physical, network, and transport layer addressing schemes that may relate to the storm occurrence. This helps an analyst to understand the sequence of the storm event.
This is an extremely important process in network baselining and should be engaged in proactive and reactive analysis. In proactive baselining, an analyst must configure the proper broadcast storm thresholds on the protocol analyzer. This way, the storm events will show during the network baseline session. In a troubleshooting (reactive) event, it is important to know whether certain failure occurrences or site network failures are also being reported by the users; these may relate to the time of the storm occurrence. If this is the case, just isolating and identifying the broadcast storm may make it possible to isolate the devices causing the storm or the protocol operations involved. It may then be possible to stop the storm occurrence. This will increase performance levels and optimize the network.
Showing posts with label Protocols. Show all posts
Showing posts with label Protocols. Show all posts
Friday, December 18, 2009
Protocol Analyzer, Protocol Analysis, Protocol Analyzing
What Are Network Protocols?
In computing, a protocol is a convention or standard that controls or enables the connection, communication, and data transfer between two computing endpoints. In its simplest form, a protocol can be defined as the rules governing the syntax, semantics, and synchronization of communication. Protocols may be implemented by hardware, software, or a combination of the two. At the lowest level, a protocol defines the behavior of a hardware connection.
Why Protocol Analyzing Important?
Since all network communications are based on protocols and different protocols indicates varieties of network behaviors, by analyzing protocols using a network sniffer, we get to know what network applications are used on the network and what network behavior is taken against your network. You may check out our protocols database to get an explanation of each protocol.
Analyze Protocols with Capsa
Being able to support more than 300 protocols in the latest version, Capsa make it easy to analyze protocols in network and understand what is happening.
- Comprehensive Protocols Information in “Protocols” Tab
In “Protocols” tab, all protocols detected are listed with detailed traffic (both total and real-time) and connections information. With its easy sorting feature, we can understand which protocol has generated the largest traffic and built most connections.
- Drilldown on a Single Protocol
Capsa’s unique “Explorer” allows you to carry out drilldown analysis on a single protocols and view dedicated information in the information-rich tab views.
Conclusion
With Capsa’s protocol analyzing ability, we can easily understand what is happening on our network and which network application has generated the largest traffic, these statistics provides first-hand information to carry out everyday network management.
Labels:
Network Sniffer,
Protocols
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