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MARKET & IP BRIEFINGS

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Artificial Intelligence for IT Operations (AIOps) Market Briefing

This market briefing provides an overview of the market for Artificial Intelligence for IT Operations (AIOps). Referencing industry analysis on the AIOps market, this snapshot provides a brief definition of AIOps, the capabilities of AIOps, the enterprise IT concerns it addresses and the anticipated benefits. It provides a synthesis of key challenges implementing AIOps and an overview of the market and vendors.
The RECAP project provides a reference framework and set of tools to optimise reliable capacity provisioning of applications and infrastructure for distributed clouds including  a topology landscaper, synthetic workload generators, monitoring infrastructure, advanced analytics using machine learning, discrete event and time simulators, application and infrastructure optimisers, and orchestrators. Together or independently, these can be used to support enterprise IT operations and support AIOps initiatives.
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RECAP Discrete Event Simulator

This IP briefing provides an overview of the RECAP Discrete Event Simulator which has been designed for informing capacity planning and optimisation for both applications and infrastructure in distributed clouds. The RECAP DES has the following features:

  • Use of popular CloudSim framework implementation (CloudSimPlus extended version)
  • A platform agnostic, highly flexible and efficient modelling using Google Protocol Buffers
  • Modelling and simulation of a geographically distributed edge physical infrastructure
  • Modelling and simulation of a distributed data flow with a hierarchical application architecture
  • Dynamic user location simulation and modelling support
  • Customizable policies for distributing workload considering a hierarchical architecture
  • Support for synchronous communication between application components for data aggregation (e g search engine)
  • Support for a flexible application workload propagation between application components
  • Support for data traffic separation and isolation by type within a single application model
  • A web RESTFUL API is available as an integration point and
  • It is available as a Docker containerization for download and usage
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ref-paper

An Integrated Optimisation Framework for Reliable Capacity Provisioning for Distributed Clouds – A Conceptual Reference Model

There is an exponential proliferation of interconnected smart objects, both static and mobile, serving different use cases and vertical markets. Against this backdrop, service providers and their users have increasingly heterogeneous Quality of Service (QoS) and Quality of Experience (QoE) requirements that must be maintained to avoid economic penalties. The complexity of managing the ICT operations to meet the unpredictable, fluctuating and mobile demand of these smart objects is putting a strain on existing cloud computing and network infrastructure that was not designed for this purpose. It is no longer realistic for ICT teams to cost-effectively foresee and manage manually the reliable capacity provisioning of all possible configurations, component interactions, and end-user operations from the cloud to the edge on a detailed level. New concepts and technologies are required for the automated orchestration of applications and the end-to-end management of networking infrastructure and workload placement from the cloud to the edge.

This white paper describes a model-based framework for automated optimisation whereby near real-time and future application placement and infrastructure optimisation from the cloud to the edge is achieved, balancing application provider and infrastructure provider interests, and optimising the placement of resources and functionality to improve performance and reduce costs.

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RECAP Technical Outputs

RECAP Technical Outputs

This market briefing provides an overview of over 12 discrete technical outputs have been generated and are available to license under open-source licenses or commercially through RECAP partners. These include:

  • RECAP Simulator Framework
  • RECAP Application Configuration and Deployment Optimiser
  • RECAP City Simulator/Regional User Simulator Tool
  • RECAP Monitoring and Storage Infrastructure
  • RECAP Workload Generators
  • RECAP Visualisation Toolkit
  • RECAP Automated Machine Learning Tool (AutoML)
  • RECAP Workload Generator/Anonymisation Tool based on Neuronal Networks
  • RECAP Infrastructure Optimiser (Mechanism for Automated Application Placement and Capacity Planning)
  • RECAP OpenStack Infrastructure Manager
  • RECAP Workload Predictor for Globally Distributed Services
  • RECAP CLI Tool (Cloud-based Emulation for IoT and Edge Infrastructures)

The briefing includes a summary of each technical output with the relevant contact details and license status for those who may be interested in further information on the IP or licensing one or more specific components.

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sdn-nfv

SOFTWARE DEFINED NETWORKING AND NETWORK FUNCTIONS VIRTUALIZATION

This market briefing provides an overview of the market for SDN and NFV, primarily from the perspective of industry reports. The following sections provide a summary of SDN and NFV and their benefits. Major trends and drivers for SDN and NFV adoption are discussed and an overview of the SDN and NFV market is presented including major segments, vendors and standards development organisations. Barriers to SDN/NFV adoption and future challenges arising out of the Internet for Everything and 5G networks are then briefly discussed. The briefing paper concludes with an overview of how the European Union Horizon 2020 project RECAP is profiling and simulating network infrastructure so that network function and service function characteristics can be automated to ensure required quality of service and mitigate failure risk in a variety of cloud, fog and edge computing use cases.

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sim

OPEN SOURCE CLOUD SIMULATION SOFTWARE MARKET BRIEFING

This market briefing provides an overview of the main open source cloud simulation software tools. It discusses the drivers for using simulation and modelling for cloud computing, the types of cloud problems simulators are being used to solve. It provides an overview of the main open source cloud simulators and a comparison of the features of these simulators. This is followed by an overview of a new open source warehouse-scale cloud simulator that accommodates hyperscale clouds and next generation cloud architecture designs, and a discussion about how simulation-based optimisation might be used to address cloud management challenges with the emergence of the Internet of Things.

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THE DATA CENTER MARKET

The Global Data Center market briefing provides an overview of the global data center market, segmenting the market by both data center type and the individual hardware components that make up a data center. It outlines the factors influencing adoption of data centers worldwide and investigates the different factors changing the dynamics of this market, drawing on publicly available desk research from industry analysis to predict where this market will be in 2020.

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