Page 378 - Cloud computing: From paradigm to operation

1 Framework and requirements for cloud computing

I.4 OASIS references and associated summaries

[OASIS AMQP 1.0] Advanced Message Queuing Protocol Version 1.0
The AMQP is an open Internet protocol for business messaging. It defines a
binary wire-level protocol that allows for the reliable exchange of business
messages between two parties. AMQP has a layered architecture and the
specification is organized as a set of parts that reflects that architecture.
URL: http://docs.oasis-open.org/amqp/core/v1.0/os/amqp-core-overview-
v1.0-os.html
[OASIS MQTT 3.1.1] Message Queuing Telemetry Transport Version 3.1.1
MQTT is a client server publish/subscribe messaging transport protocol. It is
light weight, open, simple, and designed so as to be easy to implement. These
characteristics make it ideal for use in many situations, including constrained
environments such as for communication in M2M and IoT contexts where a
small code footprint is required and/or network bandwidth is at a premium.
URL: http://docs.oasis-open.org/mqtt/mqtt/v3.1.1/os/mqtt-v3.1.1-os.html

I.5 Data Mining Group references and associated summaries
[DMG PMML 4.2.1] Predictive Model Markup Language 4.2.1
PMML is XML-based file format to provide a way for applications to describe
and exchange models produced by data mining and machine learning
algorithms. It supports common models such as logistic regression and feed
forward neural networks.
URL: http://www.dmg.org/v4-2-1/GeneralStructure.html

I.6 TM Forum references and associated summaries
[TMF BDAG] The Big Data Analytics Guidebook
The guidebook provides guidance to a communication service provider on
the major components that are needed for the implementation of real-life
big data analytics use cases. It defines a reference model, use cases, business
value roadmap, building blocks and the analytics big data repository for big
data analytics. It also includes addendums, which are;

– Big data analytics use cases – Best practice;
– Big data analytics building blocks – Best practice;
– Big data analytics privacy risk score details – Best practice;
– Big data analytics big data repository – Best practice.
URL: https://www.tmforum.org/resources/collection/gb979-big-data-
analytics-solution-suite-r15-5-1/

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