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[February 21, 2002]
Pros And Cons Of Data Collection
Techniques In Service Providers' Complex Environments
BY JONJIE SENA
Network data mediation has traditionally been the "black box"
of a service provider's business -- a background process that is typically
handled by a mediation vendor. In today's complex and highly competitive
market, however, service providers are taking greater interest in this
aspect of their business, and for good reason. Industry journals and
conferences contain more and more reports of mediation "rescues"
in which inefficient systems are updated or replaced by robust and
intelligent solutions that recover thousands of dollars per day in billing
revenue that had previously slipped through the cracks.
Revenue leaks and performance losses can occur in any network that has
difficulty integrating information from newer technologies such as
Internet Protocol (IP) services, or where the mediation system is
inflexible and cannot easily accommodate multiple formats and protocols.
As service providers acquire, or form partnerships with, other service
providers, the mediation and OSS systems can become stressed and
inefficient, potentially resulting in a loss of revenue and service
quality.
For this reason, when seeking to enhance or upgrade their systems,
service providers should not only understand their own networks, but the
choices proposed by mediation vendors. Perhaps the best place to begin
understanding a mediation vendor's approach is right on the front line of
the mediation process -- data collection.
Data Collection
In establishing a data collection strategy for downstream operations and
support systems, the mediation vendor has two primary data collection
methods to choose from: probes and direct interfaces (DI) to network
elements (NE). Probes are passive data-gathering hardware devices that
"spy" on the network, recording all data that passes through the
point in the transmission medium where the probe resides. The DI method,
on the other hand, uses a data-exchange mechanism to retrieve selected
data directly from the network element.
Before examining the pros and cons of each method, it is important to
understand the kinds of data that such methods collect, as the data type
is the most important factor in determining the best collection method to
use.
Consider the example of watching a movie via online streaming video --
in this case there are two streams of data involved. The first is the
actual movie content (i.e., the sound and video) which is called the media
stream. The second stream contains information about the movie being
watched, such as the name or reference number of the move, who is watching
it (e.g., the subscriber number or IP address), the length of the movie,
the director's name, and so on. This is the usage stream, also known as
the accounting stream.
The media stream is always available while a service is being used,
because the media stream is the actual service being delivered (whether it
is a streaming movie, a telephone call, or a file download). The usage
stream, on the other hand, is not always available, depending on the type
or configuration of the network element involved. Also, the media stream
can be quite large, but the usage stream is typically significantly
smaller, requiring less bandwidth, storage space, and processing.
Pros And Cons Of Probe Technology
The main advantage to using probes is that they provide a network
element-independent interface to capture data. For example, data sent
across a TCP/IP network uses standard headers that allow a probe to
quickly identify, at a very high level, the kind of traffic and payload,
without requiring an interface with the network element. As such, probes
can be deployed quickly and easily in environments that use standard
protocols.
Another advantage with probes is that all the data transmitted for a
particular service is available to the mediation and OSS systems. In other
words, the OSS can process the entire media stream, which in some cases
may be necessary to obtain a complete picture of the service provided. For
example, there may be no accounting data generated at all, in which case
the usage information can only be derived by processing and summarizing
the media stream.
On the other hand, the main disadvantage of using probes is that such a
large amount of data is captured -- data that needs to be stored and
processed. This may be overkill; an OSS does not need to hear the entire
telephone conversation to be able to account for it or to provide
statistics regarding the usage.
Another disadvantage to using probes is that wire-speed data capture is
difficult, especially as the bandwidth of the network increases. If the
same services are deployed on faster networks, then hardware upgrades for
the probe will probably be required. Also, the probe needs to listen to
every link in the chain to get the full picture, instead of just one
network element. The typical approach is to attach probes to the end
points in the chain, which usually -- but not always -- gives sufficient
information for most purposes.
Pros And Cons Of DIs To Network Elements
Capturing all data generated by (or passing through) a network element
requires a lot of bandwidth and processing, and in many cases provides far
more data than is necessary. Unless one wants to know the language used,
or how many times a particular word is used, it is generally sufficient to
base OSS functions on the accounting information -- calling party, called
party, time of day, call type, resources used, quality of service,
facilities utilized, etc. -- alone.
Capturing information directly from a network element provides
accounting data that is intimately connected to the system that generates
it. It captures information about the idiosyncrasies of the service and
implementation provided by the network element -- no other data source
provides more usage information. It's like hearing a story first-hand
instead of piecing it together from multiple secondary sources. As such,
DI technology provides the most complete accounting information available
in the network.
Direct interfaces are usually software driven, at least for data and
next-generation network elements. However, this is straightforward and
uncomplicated for mediation vendors who have already created other
interfaces for whatever type of switch is involved. If the same services
are offered on faster networks, no changes are needed for mediating the
usage information via direct interfaces.
On the other hand, each network element potentially has its own
proprietary interface, which may require custom development. This may
result in a linear increase of interfaces to be developed as new network
elements are introduced. In practice, however, this is rarely a problem.
Most vendors provide the same interface for most of their network
elements, so once an interface for a particular switch model is available,
all models from the same vendor are automatically supported. Many also
adopt standard protocols, such as FTP, FTAM, BX.25, SNMP, Q3, etc. Once an
interface is built, it can usually be reused for other network elements.
Some people argue that the DI method is risky because the technology
intermittently interrupts switch functions and utilizes processing
capacity when responding to a request for usage data. However, these
interruptions are usually low-priority events with no discernable affect
on switch function or network traffic, and a properly implemented system
will not cause dropped calls or other switch problems.
Probes And DI In Complex Network Environments
In the search for the ideal mediation solution, it must be recognized that
no one solution addresses all mediation requirements. Rather, the
mediation vendor should utilize the method that is most appropriate for
the case at hand. Industry analysts such as the Yankee Group agree:
The Yankee Group feels that a successful NDM [network data mediation]
platform will encompass many different collection technologies, such as
embedded software and probes. The gathering of information in a data
environment is extremely complex, encompassing pieces of information
from several disparate network elements. The general industry consensus
is that no single data source or protocol is optimal for encompassing
the OSS/BSS information needs. Some tout network probes as a possible
solution for tapping the information stream; however, the Yankee Group
feels -- as do many vendors -- that probes are only one component of an
overall NDM collection strategy and are appropriate only in certain
situations. (Yankee Group Report, Vol. 2, No. 6, June 2001)
In complex network environments, the best choice is often a mixed
strategy. A service provider seeking a mediation solution should keep
these factors in mind, and in particular they should look into the
experience and expertise of the mediation vendor. The best solution is to
be found where the vendor not only understands the technology they are
selling, but has a thorough understanding of the client's network
environment and makes decisions based on each unique situation.
Jonjie Sena is a Convergent Mediation product manager for ACE*COMM
Corporation. ACE*COMM is a global leader in advanced Convergent
Mediation products and enterprise telemanagement applications for wired
and wireless voice, data, and Internet communications providers.
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