NFV Service Assurance
Intel® is uniquely positioned to bring the worlds of connectivity, computing, and cloud together to provide the infrastructure for driving enhanced efficiency with the adoption of NFV. Intel’s latest silicon and software platforms deliver the processing, storage, virtualization, security, I/O, acceleration, management, and analytics capabilities that will power these high performance, efficient, scalable, agile, and increasingly automated networks. These capabilities drive the need for next-generation service assurance.
Providing robust service assurance capabilities is critical for the network’s transformation to a software-defined and increasingly virtualized environment. It is vital to monitor systems for utilization and malfunctions that could lead to service disruption. Monitoring facilitates the prompt resumption of service. Today, monitoring and management activities throughout the network are supported by discrete systems in fixed service chains with tightly integrated hardware and software products and established management frameworks and assurance tools. In a virtualized environment based on Network Functions Virtualization (NFV), implementing these activities is more challenging as a result of the disaggregation of hardware and software and the ability to deploy services dynamically.
Intel assists with NFV service assurance through its Intel Infrastructure Management technologies that assist with the adoption and integration for NFV Service Assurance.
The Data Plane Development Kit (DPDK) is a set of data plane libraries and network interface controller drivers for fast packet processing. DPDK provides a programming framework for Intel architecture (and other) processors and enables faster development of high-speed data packet networking applications.
Closed Loop Platform Automation: Service Healing and Platform Resilience
Platform Resiliency prototype that uses a set of platform data and control points (telemetry) to enable the configuration, reporting, monitoring and workload-placement in a Kubernetes (K8s) environment.
Telemetry Aware Scheduling - Automated Workload Optimization with Kubernetes (K8s*) Technology Guide
This guide presents a methodology for enhancing scheduling capabilities in K8s. Telemetry Aware Scheduling (TAS) enables automated actions and intelligent placement of workloads based on up-to-date platform telemetry.
Intel Platform with OPNFV* Barometer Project
Describes how to install the open source OPNFV* Barometer project and trigger the deployment of collectd*, InfluxDB* and Grafana* across a single/multi node setup.
Telemetry Aware Scheduling - Automated Workload Optimization with Kubernetes* (K8s*) Training Video
Part of the Container Experience Kit video series. Provides an overview of Telemetry Aware Scheduling and discusses examples of its advantages and relevant use cases.
NFV Platform Service Assurance Intel® Infrastructure Management Technologies
Gain business agility by adopting SDN & NFV. Engage with Intel to enable these features to unlock more valuewith new use models along with integration with MANO and Service Assurance frameworks.
Intel Platform Feature Telemetry
Closed Loop Automation - Telemetry Aware Scheduler for Service Healing and Platform Resilience Demo
Platform Resiliency prototype using telemetry to enable configuration, reporting, monitoring and workload placement in a K8s environment. Corrective healing triggered by K8s Telemetry Aware Scheduler policy.
Closed Loop Platform Automation - Power Savings Demo
Overview of closed loop automation demo that runs telemetry data through analytics and uses the output to make informed decisions.
Closed Loop Platform Automation - System QoS Demo
Introduction to Intel® Resource Director Technology, which can be used to quiesce a "noisy neighbor" and restore performance to high priority applications to ensure optimum Quality of Service.
Closed Loop Platform Automation - Workload Resiliency Demo
This is a closed loop platform automation resiliency demo that minimizes service outage time and therefore maximizes service availability. It shows that by using Intel® architecture platform specific metrics and events, we can monitor the health of the platform and identify issues that may impact the end-user experience.