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Dynamic Scalability (Erl, Naserpour)

How can IT resources be scaled automatically in response to fluctuating demand?

Dynamic Scalability

Problem

It is challenging to equip an IT resource to match its processing requirements. If the demand for the IT resource is below its capacity, then it is under-utilized and if the demand is above its capacity it is over-utilized or unable to meet the demand.

Solution

The IT resource can be integrated with a reactive cloud architecture capable of automatically scaling it horizontally or vertically in response to fluctuating demand.

Application

Dynamic horizontal scaling can be enabled via the use of pools of identical IT resources and components capable of dispersing and retracting workloads across each pool. Dynamic vertical scaling can be enabled via technology capable of swapping IT resource components at runtime.

Dynamic Scalability: A sample dynamic scaling process.

A sample dynamic scaling process.

Dynamic Scalability: An example of a dynamic scaling architecture involving an automated scaling mechanism (Part I).

An example of a dynamic scaling architecture involving an automated scaling mechanism (Part I).

Dynamic Scalability: An example of a dynamic scaling architecture involving an automated scaling mechanism (Part II).

An example of a dynamic scaling architecture involving an automated scaling mechanism (Part II).

Dynamic Scalability: An example of a dynamic scaling architecture involving an automated scaling mechanism (Part III).

An example of a dynamic scaling architecture involving an automated scaling mechanism (Part III).

NIST Reference Architecture Mapping

This pattern relates to the highlighted parts of the NIST reference architecture, as follows:

Dynamic Scalability: NIST Reference Architecture Mapping


CCP Module 4: Fundamental Cloud Architecture

This mechanism is covered in CCP Module 4: Fundamental Cloud Architecture.

For more information regarding the Cloud Certified Professional (CCP) curriculum, visit www.arcitura.com/ccp.

Cloud Computing: Concepts, Technology & Architecture

This cloud computing mechanism is covered in:

Cloud Computing: Concepts, Technology & Architecture by Thomas Erl, Zaigham Mahmood,
Ricardo Puttini

(ISBN: 9780133387520, Hardcover, 260+ Illustrations, 528 pages)

For more information about this book, visit www.arcitura.com/books.