SHARE



ABOUT THE AUTHOR


Gary Audin
Gary Audin is the President of Delphi, Inc. He has more than 40 years of computer, communications and security...
Read Full Bio >>
SHARE



Gary Audin | July 02, 2015 |

 
   

The Network Impact of Big Data

The Network Impact of Big Data Big data promises to deliver more insight, but the network must be ready to support the higher traffic levels that come with it.

Big data promises to deliver more insight, but the network must be ready to support the higher traffic levels that come with it.

Big data is a big deal. You read about it and its promises of insight. But you will need a network to collect and distribute big data connected to processing locations. Many big data applications require real-time communications. Plan for big data on your network now; don't wait until issues arrive. Catch-up costs money and results in delayed implementations.

Big Data Impact

The only sure predictions around big data's impact are that the network will be busier, need more capacity, and probably cost more. How much capacity will be needed is only an estimate. It could wind up being far more than estimated if the big data applications are very successful. Educated predictions on traffic may look good now, but conditions can change and render them inaccurate.

Real-time processing of big data will require real-time data delivery. Without real-time delivery, data will already be old and historical. One of the advantages of big data, especially in regard to the Internet of Things (IoT), is its enabling of a rapid response to changing business functions and conditions such as security alerts, building automation, location tracking, etc. Big data collected quickly fosters just-in-time decisions.

The United Nations Economic Commission for Europe predicts that data growth will be 350% higher in 2019 than it is in 2015. Such volume of data means a corresponding 350% growth in network traffic, which may be carried over private LANs (wired and wireless) and WANs, the Internet, and cellular networks.



portable
Chart is from the United Nations Economic Commission for Europe (UNECE)


The problem with predictions is that a number of business conditions are assumed to be known. The predicted 350% data growth is across the board, not for an individual organization.

One of the IoT drivers is the operations department of an organization. Operations may be planning its own rollout of technology without the knowledge of IT, which may impact the network or bypass it entirely via a cellular connection. If it is bypassed then IT does not need to support that IoT traffic. Further, the success of IoT may be underestimated or the frequency of data transmissions may be increased without the knowledge of IT. These sort of scenarios will impact the accuracy of traffic predictions. Therefore, monitoring network traffic conditions in real time with rapid traffic analysis becomes mandatory.

Taxing Network Resources

Big data transmission will occur on the premises network and may affect the enterprise WAN. If the cloud is used, Internet access will be taxed for its capacity. The network's capability to absorb and transfer big data traffic is made up of six elements:

  1. Bandwidth -- You will always need more. As big data is analyzed, users may want to collect even more data as they learn how to better analyze it. Don't forget that data about the networks adds to the traffic load, and therefore more bandwidth may be required. Bandwidth should be scalable in response to traffic that can increase rapidly. You need to relate bandwidth utilization to the application used.
  2. Network Delay/Latency -- Real-time delivery with real-time responses based on analysis means that network delay can cause the data and responses to be created and delivered too late. Predictable consistent latency needs to be delivered.
  3. Security -- This is important for both access to and transmission of the data. It is very likely that the data is sensitive for both the organizations and its customers.
  4. Delivery Accuracy -- Data can sometimes be lost or delivered with errors. No network is perfect, but knowing that there has been data corruption can help minimize the impacts.
  5. Availability -- The loss of networks can be highly disruptive. An availability of 99.99+% is a good goal. Make sure you know what events or conditions are not included in the availability calculation, as you may actually be experiencing only 99% availability.
  6. Resiliency -- Failures will occur; they always do. How fast those failures can be resolved leads to either confidence in the network and its management or skepticism of the value of data collection and analysis.
Network Monitoring is Mandatory

Network monitoring has been part of operations for a long time. Most monitoring systems deal with major changes, failures, configuration data, and traffic reporting. The monitoring function itself is a producer of big data. Therefore, the network data needs to be analyzed with big data applications. Traffic trends, where apps are located, what caused the traffic, and what network resources are available to effectively carry the traffic are all part of the network big data information.

Monitoring Strategies
  1. Ensure that your monitoring tools collect the network information with enough granularity to produce detailed statistical representations.
  2. You will need a dashboard that continuously provides alerts and alarms when traffic changes occur that are outside acceptable.
  3. Create long- and short-term reports rapidly so that traffic changes that could impair the network operation can be discovered as soon as possible.
  4. If a cloud service is employed, do you have the traffic data from the cloud delivered in real time so you can make decisions before a problem worsens?
  5. Ensure that the network performance measurements and SLAs are reported in increments of 15 minutes, not over a day or month.

Many big data applications require real-time communications so that data can be delivered and analyzed properly. But real-time communications requires real-time monitoring, and this must be incorporated when predicting traffic levels and the impact on the network.





COMMENTS



Enterprise Connect Orlando 2017
March 27-30 | Orlando, FL
Connect with the Entire Enterprise Communications & Collaboration Ecosystem


Stay Up-to-Date: Hear industry visionaries in Keynotes and General Sessions delivering the latest insight on UC, mobility, collaboration and cloud

Grow Your Network: Connect with the largest gathering of enterprise IT and business leaders and influencers

Learn From Industry Leaders: Attend a full range of Conference Sessions, Free Programs and Special Events

Evaluate All Your Options: Engage with 190+ of the leading equipment, software and service providers

Have Fun! Mingle with sponsors, exhibitors, attendees, guest speakers and industry players during evening receptions

Special Offer - Save $200 Off Advance Rates

Register now with code NOJITTEREB to save $200 Off Advance Rates or get a FREE Expo Pass!

March 22, 2017

As today's competitive business environments push workforces into overdrive, many enterprises are seeking ways of streamlining workflows while optimizing productivity, business agility, and speed.

March 8, 2017

Enterprise IT's ability to innovate is critical to the success of the business -- 80% of CIOs agree. But the CIO role has never been more challenging than it is today, with rising operational respo

February 22, 2017

Sick of video call technology that make participants look like they're in the witness protection program? Turns out youre not alone. Poor-quality video solutions can give users an unprofessional ap

March 15, 2017
Andrew Prokop, communications evangelist with Arrow Systems Integration, discusses the evolving role of the all-important session border controller.
March 9, 2017
Organizer Alan Quayle gives us the lowdown on programmable communications and all you need to know about participating in this pre-Enterprise Connect hackathon.
March 3, 2017
From protecting against new vulnerabilities to keeping security assessments up to date, security consultant Mark Collier shares tips on how best to protect your UC systems.
February 24, 2017
UC analyst Blair Pleasant sorts through the myriad cloud architectural models underlying UCaaS and CCaaS offerings, and explains why knowing the differences matter.
February 17, 2017
From the most basics of basics to the hidden gotchas, UC consultant Melissa Swartz helps demystify the complex world of SIP trunking.
February 7, 2017
UC&C consultant Kevin Kieller, a partner at enableUC, shares pointers for making the right architectural choices for your Skype for Business deployment.
February 1, 2017
Elka Popova, a Frost & Sullivan program director, shares a status report on the UCaaS market today and offers her perspective on what large enterprises need before committing to UC in the cloud.
January 26, 2017
Andrew Davis, co-founder of Wainhouse Research and chair of the Video track at Enterprise Connect 2017, sorts through the myriad cloud video service options and shares how to tell if your choice is en....
January 23, 2017
Sheila McGee-Smith, Contact Center/Customer Experience track chair for Enterprise Connect 2017, tells us what we need to know about the role cloud software is playing in contact centers today.