How a Self-DrivingNetwork Works for You

HOW IT WORKS

Energy companies are finding quantifiable benefits from autonomous innovation: the Self-Driving Network™.

Using emerging big data analytics and machine learning technologies, energy companies can create an adaptive, proactive network that processes huge volumes of data and automates previously manual processes. A Self-Driving Network helps energy companies curb operating costs as networks grow in size and complexity, creating ever increasing manual workflows. An adaptive and proactive network architecture across production fields, intelligent field centers, and corporate data centers positively impacts business unit engagement and outcomes.

The Self-Driving Network comes into focus as institutions transition from automation to autonomy. The result is a “zero touch” network defined by five core capabilities:

Real-Time Telemetry:Telemetry (via push seman-tics) and anomaly detection (via machine learning) address the limitations of SNMP, streaming telemetry, and deep packet inspection (DPI).

Declarative intent: Autonomous networks will be intent-driven based on hints and suggestions rather than constraints.

Local views and global views: While local awareness remains essential, increased global awareness will include:

Root-cause analysis via supervised learning

Time-based trending to establish and adapt baselines

Correlation of information across geographies, layers, and peers

Optimal local decisions based on global state.

Decision making: Machine learning helps network operators move from static programming to algorithms that learn from data inputs, make predictions, take appropriate actions, and become smarter over time.

Automation: A Self-Driving Network includes:

Automatic service place-ment and service motion

Specific upgrades based on configured services

Inductive network response based on machine learning

CONCLUSIONThe Self-Driving Network will liberate local and remote IT teams from the

tedium of day-to-day management, allowing them to focus on what’s really important: optimizing the digital experience for business units to optimize oil

& gas production, transportation and refinement.

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A Self-Driving Network can help energy companies minimize operat-ing costs as networks become bigger, more secure and complex; and therefore, more demanding to manage with traditional processes.

Engineering. Simplicity.

https://www.juniper.net/us/en/solutions/energy/oil-gas/

https://www.juniper.net/us/en/solutions/energy/oil-gas/

WHAT IT DOESWith minimal guidance from the campus IT team, a Self-Driving Network will:

Self-discover its constituent parts

Configure itself

Self-monitor using probes and other techniques

Self-defend from external and internal threats

Self-correct Auto-detect when a new service is needed and then auto-enable that service

Self-report periodically or when an unexpected

situation arises

Self-analyze using machine learning for introspection

Automatically monitor and update services to optimize

delivery