| By David Messina
The amount
of traffic on wireless LANs (WLANs) has skyrocketed as enterprise dependence on
wireless connectivity continues to increase significantly. According to IDC, by
2009, most large corporations expect 75% of their workforce will use WLANs
exclusively. The increasing dependence on WLANs is driven by the significant
productivity benefits to employees who want continuous connectivity to their
primary applications as they move about their office throughout the work day. The
ability to stay connected and remain productive while being mobile is becoming
much more a necessity than the luxury it had been in the past. However, despite
the fact that WLANs improve employee mobility, they do not always deliver the
productivity returns that end users expect. WLAN connections are considerably
slower and less reliable with varying bandwidth than the dedicated switch
connections that are also available to the same users.
Device failures
and service problems on the WLAN are more problematic and difficult to solve
than on the wired network for a number of reasons. WLAN technology has yet to
achieve the maturity and reliability of the wired network and WLANs
increasingly rely on the functionality of back-end services, which affect
performance. Also, there are many bandwidth-hungry applications that traverse
the network infrastructure, including streaming video, storage backup, batch
processing, and more that compete for and use up available bandwidth.
These
problems are exacerbated by the emergence of new devices that seek to leverage
the flexibility of these networks with a class of products that are a blend
between a work and personal device. The Apple iPhone is the most notable example
of these hybrid devices. The iPhone has many smartphone business productivity
features in addition to the usual features found in a personal electronics
gadget. In the past, the iPhone was purchased by individuals who would bring
them into the workplace and use them for business; however, now that AT&T has
recently begun offering the iPhone as part of its business plans, it is now
easier to acquire and pay for an iPhone through enterprise accounting
departments.
The iPhone
has the potential to create significant performance problems for enterprise
WLANs and the mission-critical applications that run across them. Overloaded
WLANs can be a problem for enterprises of any size in just about any industry. The
challenge starts with end users who typically do not understand the potential
performance issues affecting networked applications that traverse a shared WLAN
with a 54Mbps connection (the majority of networks are 802.11g) vs. the
dedicated 100Mbps switch connection that they would experience with a typical
wired infrastructure.
The
iPhone’s impact on WLANs can best be illustrated by examining a real-world
example. The vice president of sales at a medical supply company gave his team
iPhones as a reward for a very successful year. The sales team, excited about the
new toys, immediately began to use them over the company’s WLAN network. On the
afternoon of the same day, a number of these overzealous sales professionals
began to download their favorite songs and iTunes videos for the long commute
home. The result was a performance problem on the WLAN that flooded the
helpdesk with a string of calls.
These calls
are reported as problems, such as the “financial application is running slow,”
“the wireless is broken”, or “my database queries are slow”, and are
immediately escalated to different I.T. teams. This typically is no trivial
matter as Yankee Group estimates that finding the problem is 90% of the
troubleshooting effort. Several I.T. personnel are now chasing down the source
of these perceived individual issues, which ultimately wastes critical time and
hinders productivity. Even more troubling, when the users are done using their
iPhones for bandwidth-hogging downloads, the issues “disappear” for the
affected users, without ever determining what caused the problem.

From an
enterprise network manager standpoint, there are limited troubleshooting tools available. However, these tools fail to provide a broader
view of what is happening with the networked applications and other elements on
the network. Network managers are constantly faced with solving problems with a
complete lack of background information. Enterprises need a solution that
empowers I.T. organizations to better understand their networks so that they
can proactively detect and control problems such as bandwidth-hogging WLAN
applications in real-time.
A new
approach, Rapid Problem Identification, or RPI, is a technology that addresses
this issue. With this approach, the focus is on the behavior of each and every
application, client, server and network within the enterprise ecosystem. This
technology analyzes each and every element and looks at traditional performance
variables like packet rate and bit rate but also this solution can help I.T.
establish a typical profile that can be leveraged for comparison when there is
a deviation within the ecosystem. It also discovers hidden problems that often
plague I.T.: bad policy, unsupported applications, and excessive application
use.
Higher probability symptoms are then examined across the
three dimensions of time, location and application. Armed with this “big
picture” of the how the various networked applications should be performing,
the RPI solution then correlates and analyzes all the WLAN issues with other
symptoms experienced on the infrastructure to determine the “root cause” of the
situation. Using heuristic analysis, RPI can eliminate groups or symptoms that
have little or no probability of pointing to the root cause. This information
helps network operations personnel determine exactly who “owns” the problem, so
they can escalate the issue to the right group for resolution. The result is
actionable information about the source of the core problem that enables WLAN
services to be quickly restored to normal quality levels.
In the case
of the medical supply company, to detect problems with WLAN, the RPI solution
takes a top-down approach to problem identification that provides an
understanding of the application experience of the WLAN and how it differs from
its normal state at the exact time that the performance issues are being
reported. The I.T. department can then correlate and analyze all the
WLAN-specific issues with other symptoms experienced on the infrastructure to
determine a single specific problem source.
First the technology groups symptoms into logical buckets to determine
whether there are application commonalities in the symptoms.
Generally
speaking, problems with the WLAN are more often than not caused by a user or
pattern of users – in this case it was multiple users uploading video with
their iPhones. The result is actionable information about the source of the core
problem that allows for a quick problem resolution to get the company’s WLAN
service up and running to normal quality levels.
The issue
of degrading WLAN efficiency in the enterprise is not only tied to the iPhone.
This is and will be a continuing trend in the rise of new endpoints that
leverage the I.T. infrastructure for both professional and personal use. Given this trend, I.T. needs to be actively
searching for emerging solutions that help them understand and manage the
behavior of all network elements across the entire enterprise ecosystem.
David Messina is VP of marketing for
Xangati, a provider of rapid problem identification technology to I.T. organizations.
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