Page 21 - Telecom Reseller FebMar 2017

February/March 2017
WILLIAMS
day wearables, and in particular the eld of communications.
If we combine the available hardware
and sensors of the modern day with communications technologies empowered by APIs, we could truly leverage context to simplify and untangle our lives. If your phone sensed your activities at the moment of a call or a message, it would be able to also select which type of signal to send (or not to), visual, audio or haptic with additional indication on urgency, sender or subject content.
When receiving a call, the caller has no idea if they are disturbing me, and as a receiver I have no indication if the call is urgent, social or of interest to me. It is up to me to determine due to the relationship with that person if it is what I need right now (e.g. am I in a current project with this person, is it a family member, my intern, or my boss?). e advent of bots
and arti cial intelligence could augment and redistribute these communications between sender and receiver. With text to speech (and vice versa) this is already happening, so a call turned voicemail could easily land in my email box in a text format, ready to me to digest at my discretion.
ACTIVITY FORECAST
In the attempt to address the user-centric relevance of context, I sketched a basic
cycle of contextual zones, applicable to communications, and then mapped typical business activities according to di erent timeframes. Initially, this was to generate some aligned use-cases and scenarios, but could also be used algorithmically to predict user tasks based on the triggers and zone of communication. e before/during/a er are fairly obvious indicators. However, the really
interesting ones are the triggers/pre/post that occur around any call or message. ese are the points at which the receiver has the option to take action (or not) and at call end, typically encompasses all the information processing (e.g. make a follow-up appointment, task, tickets, notes, check o agenda etc.). During each timeframe we can see that di erent context identi ers can have di erence prominence during each step.
Interpretations of availability and presence are widely adopted, depending on the caller and activity the user is currently engaged in, that can be either active in setting of status,
or passive, predicted by the system. E ciency gains can be made by pre-empting user intentions. Once engaged in a communication, the system can react to de ect or postpone distractions and assistive recommendations presented in a timely fashion.
Telecom Reseller 21 continued from page 13
FINDING GOLDILOCKS
Ultimately there is a need to create a central point of administration with regard to presence and availability.
is layer should sit above a network of distributed hardware devices and sensors that can passively infer the best way to react, route and share information.
Too much automation and arti cial intelligence could be irritating and lead to sense of lost control to the user.
e other end of the spectrum is where
we are today in a fragmented and dispersed communication landscape. e value for the eld of Uni ed Communications (UC), is nding the perfect balance between the two, o ering timely and accurate automations and contextual routing that places the user at the centre of all developments, and nding the true Goldilocks zone. ●
cPacket Announces Next-Generation Network
Performance Monitoring Platform
already been proved as an invaluable, necessary tool in market trading environments. is functionality is an integral part of cPacket’s NPM platform, and solves capacity planning, compliance and network security issues in the most demanding networks.
“Network performance is in the spotlight across virtually all industries,” said Brendan O’Flaherty, CEO of cPacket. “Today’s networks arguably are running more high-stakes applications than ever before, amplifying the risks of undetected faults, network performance gaps, or outages. And increasing network speeds only heighten the challenges. cPacket allows customers
to dramatically reduce the cost of network monitoring, providing a single solution for monitoring the network end-to-end, quickly troubleshooting and resolving issues, and obtaining predictive insights to help plan for the future.”
AVAILABILITY
e cPacket Network Performance Monitoring solution is available now, with additional enhancements available in the second quarter of 2017. To learn more, come visit us at Cisco Live Berlin Feb 20-24 or visit www.cpacket. com. ●
Distributed Monitoring Platform Breaks New Ground in NPM for High-Speed Networks, Providing Microburst Analysis, Hop-By- Hop Metrics, and Complete Path Metrics for Exhaustive Troubleshooting and Analysis
SAN JOSE, CA - cPacket Networks, a leading provider of next-generation network performance monitoring and analytics solutions, has announced a next-generation NPM platform geared to handle the increasing tra c on high-speed networks, to address
the 40G and 100G markets. e platform’s distributed architecture allows customers to deploy cPacket devices along critical paths
in the network to observe and proactively report network and application-related
issues. Wirespeed (real-time) performance monitoring, nanosecond timestamping, and millisecond accuracy combine to provide insight into network behavior at the wire, including true utilization and burst behavior — allowing deep network views not available with legacy NPM models.
e solution, which scales from 1 Gbps to 100 Gbps, hits the market as 100Gbps rollouts ramp up in global enterprises, data centers, nancial services rms, and organizations that need to deliver real-time responsiveness to their constituents, partners, and customers.
e platform takes direct aim at the issues plaguing high-speed networks. Whether problems result from network tra c, application performance, packet ows, or information residing in the packets themselves, the platform identi es and pinpoints the sources of those problems. It does so, in part, via its integral multi-hop analysis, an advance in NPM technology that enables it to analyze multiple KPIs (key performance indicators) within the same context, or a single KPI within multiple contexts. In addition, the platform provides either hop-by-hop correlation of KPIs, or can provide an aggregate of those KPIs.
Diving deeper into the network, KPIs also provide multiple “contexts” for the same metric, such as revealing on a hop-by-hop multi-segment level. Or multiple metrics
can be evaluated to reveal latency, frame size distribution, throughput, and burst values
for the same segment. is unique context exibility enables better situational awareness leading to faster troubleshooting and a better understanding of network health.
Massive increases in network tra c re ect, in part, the unprecedented growth in cloud IP tra c. According to Cisco, global cloud
IP tra c will reach 14.1 ZB per year by the end of 2020, up from 3.9 ZB per year in 2015, a compound annual growth rate of 29.31 percent.
SURPASSING LEGACY NPM
e platform integrates a rich analytics
layer, enabling it to analyze packet ows to understand past network behavior, predict future behavior, set automatic thresholds and alerts, and spot trends to perform what-if
monitoring. Intuitive, actionable, customizable GUI dashboards and dashlets are easy to create and share and can be rearranged based on user preferences. In addition, context-speci c alerts can be generated against baselines or as users con gure them. Accuracy to the millisecond eliminates guesswork — and the errors that would result from acting on misleading averages. For deeper network views, users can drill down from KPIs to capture individual packets, and can perform back-in-time
Today’s networks arguably are running more high- stakes applications than ever before
analyses. is depth of monitoring provides visibility into sporadic network behaviors and their e ects on overall network performance, surpassing approaches that analyze network behavior only in the moment.
e NPM platform builds on cPacket’s hallmark distributed architecture design, which brings comprehensive at-the-wire coverage to any node in the network where monitoring
is most critical, surpassing traditional NPM solutions that provide only centralized
analyses as required.
e platform also enables users to view
capacity and perform more informed capacity planning. at’s a bene t of hardware generated KPIs, which allows users to take proactive steps to head o capacity-related slow-downs or network failures, detect and resolve application latencies, and ensure enforceable application-level SLAs.
e ability to identify, analyze and capture microbursts, with hardware assisted KPIs, has
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