Overview: 
        Expanding Large Scale Wi-Fi Analytics Reporting
        If you’ve got a Wi-Fi network with hundreds, thousands or tens of thousands of access points (APs), you’ve got to keep on top of a wide range of Key Performance Indicators (KPIs) associated with tens or hundreds of terabytes of data traffic that cross your network every day.
        SmartCell Insight (SCI) lets you do it. Designed with large-scale service provider and enterprise networks in mind, SCI enables IT to extract insight from the network. That insight leads to better informed business and operational decisions.
        RUCKUS SmartCell Insight (SCI) is a Big Data Wi-Fi analytics reporting engine  designed for service providers and large enterprises to make informed business  decisions regarding the health, operation and performance of their Wi-Fi networks.  This service makes use of Big Data technology and storage innovations found in  columnar database repositories, which greatly enhance the scale and performance of  a system when used to process historical data.
        The SCI Architecture
        
        Figure 1 provides an overview of the SCI architecture. And as a VM based application,  SCI provides four major functions:
        
          - Network analytics aggregation – within the defined reporting scope, SCI interacts  with APs and controllers to collect and archive key network metrics that become  the backbone of the reporting capability.
 
          - Monitor and report network status – based on established profiles, policies and  standard reports, SCI automatically collects network data and generates the  defined output.
 
          - Data Explorer – a tool to create, customize and tailor reports to focus on the precise  network metrics/trends to aid monitoring of the network.
 
          - Export Analytics – SCI has built-in APIs that support straightforward exporting  analytics to OSS/BSS systems that maybe part of the customer’s network.  Reports can also be scheduled to be auto-delivered through e-mail in PDF and  CSV formats
 
        
        The RUCKUS SCI platform transforms traditional network reporting into a vital business  tool by collecting, analyzing, parsing, reporting, and storing unprecedented amounts  of user, traffic, session and application information. Data from the largest networks  can be stored and retrieved for up to 5 years.
        Dive deep into your network
        SCI automatically collects data from across the network and generates reports based on established profiles and policies with data granularity- at 15-minute, 1-hour, or 24-hour increments.
        Customize reports for your specific requirements
        The Data Explorer feature in SCI allows you to create, customize and tailor reports with ease, so you can focus on just the network metrics and trends most important to you. Pick any combination of network dimensions and metrics.
        Feed your business systems the data they need
        With northbound APIs and data exporting capability, SCI is ready to integrate with existing BSS/OSS and to provide valuable network data to upstream business intelligence (BI) tools. 
       
      
        Benefits:
        Scalable
          The SmartCell Insight platform brings Big Data technology  to Wi-Fi reporting and analytics through its ability to process  massively large amounts of network metrics – up to 100,000  APs. Clustering VM service systems allows for massive  scaling of the analytics scope.
        Flexible
          Generates reports locally and can export data to upstream  OSS and BSS systems for maximum operations flexibility
        Standard Reports
          There is a huge inventory of predefined standard reports to  get visibility into Wi-Fi network health, performance and Key  Performance Indicators (KPI). These reports can be run on a  defined schedule to simplify SCI configuration management.
        Data Ecplorer Service
          Any industry standard browser can be used to slice and dice  the network analytics data to create custom reports utilizing  Key Performance Indicators (KPIs) that reside in network  archives on the SCI platform.
        Ease of Use
          The base VM design removes scaling limitations when  additional capacity is required. There are no hardware  appliance requirements. The capacity of SCI can be increased  by adding new VMs to SCI and does not need a rip-andreplace  to increase capacity. 
        Application Extensible
          SCI delivers a set of APIs which can be used to construct  custom applications based on the contents of the SCI  analytics database. 
       
      
        Features:
        Standardized SCI Reports
        SCI ships with a set of standard reports that address  the most common use cases faced by today’s large  network operations team. There is an easy to use and  elaborate filtering mechanism built into the SCI that allows  customers to generate more specifically targeted reports.  These reports can be printed, emailed, or copied to a PDF  file. The following section looks at sample reports from  each category.
        User Activity
        Traffic reports include: client fingerprint (iOS, Android,  Windows, etc.), client health, number of sessions, number  of unique devices, session bytes transferred, session  duration, and top clients by traffic volume.
        
          Figure 2 - Client Report
        Operational Reports
        Operational reports can be used to look at how the  various elements in the network are performing.
        
          Figure 3 - Network activity - top ten APs by traffic
        Inventory Reports
        Inventory reports provide a mechanism to easily keep track of all the Wi-Fi assets in  the network. These reports can be used to provide: access point inventory, WLAN  controller inventory, and session inventory. RUCKUS SCI collects and aggregates  statistics from up to hundreds of thousands of RUCKUS access points (APs), providing  information such as upstream and downstream traffic demand, number of sessions,  unique clients, or even the throughput customers can expect to achieve over periods  of time on a per-AP basis. Now, network managers can quickly determine who is  on their Wi-Fi network, what they are doing, when they are doing it, and from where;  all graphically displayed in a simple format in a selection of views and customized  reports.
        
          Figure 4 - Inventory Reports
        For example, customers can get reports on the amount of traffic flowing through the  network or any portion of the network, all the way down to the individual AP. This has  never been possible on such a large scale as required by worldwide service providers,  who are dealing with millions of devices.
        As a VM application, SCI can be easily installed virtually anywhere within a provider’s  infrastructure, integrating directly with existing OSS/BSS systems via northbound  APIs.
        Traffic Reports
        Traffic reports include: access point traffic, client potential throughput, throughput  estimate of clients, top APs by traffic volume, and top client devices by traffic volume.  (Figure 5)
        
          Figure 5 - Top APs by Traffic Data Explorer Reports
        Data Explorer Reports
        Easily generated from any standard browser, these custom reports  make use of the broad range of network analytics archived in the SCI  database. By defining the relationship and scope (e.g., AP, date, time, or  other metrics) of selected elements and associated hierarchical order,  reports can be generated to monitor almost any conceivable network  analytic dynamic. This greatly enhances the value of SCI as it allows  different groups within an organization to display data in ways that are  most meaningful to their particular situation. The Data Explorer uses a  very intuitive drag and drop interface allowing any user to create new  reports in a matter of minutes. (Figure 6)
        
          Figure 6 - AP Group activity
        Airtime Utilization Reports
        Wireless is shared medium by all clients, APs and other wireless  devices. RF interference, number of clients, number of APs and other  wireless devices affect the RF airtime utilization. Airtime utilization will  provide visibility in to the utilization of 2.4GHz and 5GHz radios. You  will be able to get airtime utilization at high level for overall network, as  well as on per-radio at detailed level. You will be able to see trends and  changes of Airtime utilization over time (Figure 7).
        
          Figure 7 - Airtime Utilization Report
        Top Applications by Traffic
        Application visibility report will give visibility into usage of different  applications in your network. You will able to find the top applications  that are hogging the network bandwidth and applications that are heavily  used. You will be able to get deeper insights into the usage of different  applications (Figure 8).
        
          Figure 8 - Top Applications by Traffic
        Greater Network Visibility
        Getting the most from a large Wi-Fi network, once deployed, requires  clear visibility into its performance and user activity, both at a very  granular level of detail as well as aggregated level to measure global  trends potentially spanning years.
        SCI leverages two emerging trends:
        Mobile Internet usage patterns which are evolving rapidly. The visibility  required to address these changes must extend beyond typical shorthorizon  EMS/NMS health and statistics to enable long-term trend  analysis that supports network and service evolution planning. With  exploding volumes of users, devices, traffic, and access points, this  requirement spells a real scaling challenge for any network measurement  and assessment tool.
        Emergence of Big Data brought to market by many popular applications  that facilitate the collection, storage, and efficient retrieval and analysis  of massive amounts of data. This technology, built into SCI, results in a  comprehensive offering that can accommodate additional capabilities in  future releases.
        These two trends are integrated into the RUCKUS SCI as a whole new  approach to measurement and assessment, designed specifically to  provide the visibility, trend analysis, and raw scale required to successfully  manage a carrier-sized Wi-Fi network.
        
          
            | Feature | 
            Description | 
          
          
            | Basic Operating Environment | 
            
                - VMware
 
                - Amazon Web Services
 
                - KVM
 
                | 
          
          
            | Basic Architectural  functions | 
            
                - Analytics aggregation
 
                - Network monitor & reporting
 
                - Creation of custom reports (Data Explorer)
 
                - Export Analytics
 
                | 
          
          
            | VM Cluster support | 
            Virtual limitless management capacity | 
          
          
            | Standard Reports | 
          
          
            | Inventory  Management | 
            Reporting total APs and Controllers under management | 
          
          
            | Network Operations | 
            Reporting maximum and minimum statistics in various categories | 
          
          
            | User/session  management | 
            Reporting client type, health, number and duration of sessions | 
          
          
            | Traffic Reports | 
            Total traffic by AP and client as defined by report scope | 
          
        
        SCI has been redesigned to make it simpler to trial, deploy and  expand. The licensing has been changed to take advantage of the  VM-based architecture, providing virtually limitless scaling utilizing  “clustering” of VM resources. Additionally, support for APs can be  purchased on individual basis and not in large, arbitrary block-order  sizes. This allows a customer to deploy small pilot sites and then  expand service solely based on the aggregate number of APs to  support.
        Trials are even simpler with the ability to download the trial SCI,  install and operate it for 90 days with no limitation on features and  number of APs being evaluated. This provides a straightforward  opportunity to validate a complete site at no cost at all – no risk at  all.