
Some vendors provide a cloud-based network-management solution where the network-management server is
deployed in a non-enterprise data center. The benefit of such a deployment is that the enterprise does not need to
spend time and money to maintain the management software and hardware. Value-added resellers (VARs) and
system integrators (SIs) will use the cloud-based management systems to implement enterprise network-
management services.
Problem Diagnosis
Network problem diagnosis is the biggest area where wireless vendors need improvement. Most vendors diagnose
problems by identifying the user, usually through a user name but sometimes by requiring knowledge of the
media access control (MAC) or Internet Protocol (IP) address. The diagnosis process often quickly devolves into
a manual search through event logs in search of anomalies such as incomplete 802.1X state transitions. Some
vendors also include frame capture utilities in their AP. For these vendors, the diagnosis activity may also include
an analysis of frame-exchange problems such as 802.11 association rejections. This process is complex and time
consuming. The speed of problem diagnosis is also highly dependent on the level of experience and expertise of
the person performing the diagnosis.
Complicating the process is the fact that many vendors simply do not capture sufficient historical information to
diagnose a problem that occurred in the past. Two ways to differentiate enterprise-class systems is by their ability
to capture client and AP statistics over time and by their ability to easily “re-play” client/AP trend analysis. This
functionality involves more than simply capturing events in a log file. The vendor must be able to historically
capture statistical information (e.g., received signal strength indicator [RSSI]) and to dynamically visualize this
information. This functionality should be a baseline requirement for most enterprises.
Some vendors provide the ability to not only collect historical information, but also correlate client statistics with
client location over time. This enables a network administrator to ascertain where a client was located over time,
identify the closest APs/stations, and provide a visual re-play of client and network interaction. This should be a
baseline requirement for most enterprises.
The ability to embed spectrum analysis and classification functionality directly into the AP is an emerging area.
Spectrum analysis provides an administrator with visibility into the wireless physical layer. Vendors are
embedding spectrum data collection into the APs and providing spectrum visualization at the network-
management console. For example, a common visualization is the real-time plot of received power Fast Fourier
Transform (FFT) versus frequency. This enables the network administrator to dynamically view how much
energy exists across the 2.4 GHz and the 5 GHz frequency bands. Such a view enables a network manager to
determine which channels are busy. In addition, some vendors are integrating the ability to classify non-Wireless
Fidelity (Wi-Fi) sources of energy (e.g., Bluetooth, microwave, and portable phone). This ability enables a
network administrator to determine what type of device is causing a client or AP to experience interference.
Embedding spectrum analysis in the AP is a step in the right direction, but it is not enough. Ultimately, vendors
need to integrate spectrum analysis/classification with real-time network control so that the WLAN can dynamical
adapt to problems and optimize performance. This will help a wireless network to become more deterministic,
better performing, and more like a wired LAN.
Vendors
This section provides an analysis of how well each vendor attempted to satisfy the requirements for each of the
three use cases.
Aerohive Networks
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