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Storage Workload Management (Erl, Naserpour)

How can storage processing workloads be dynamically distributed across multiple storage devices?

Storage Workload Management

Problem

When storage-related processing is limited to one cloud storage device, over-utilization can occur, while other storage devices are being under-utilized or not utilized at all, resulting in a non-optimized cloud storage architecture.

Solution

A storage capacity system is provided to distribute runtime workloads between different cloud storage devices, across the network, and to enable LUNs to be divided and managed.

Application

Cloud storage devices are combined into a resource pool from which they are scaled horizontally and in coordination with the use of a storage capacity monitor and LUN migration.

Mechanisms

Audit Monitor, Automated Scaling Listener, Cloud Storage Device, Cloud Usage Monitor, Load Balancer, Logical Network Perimeter

Compound Patterns

Burst In, Burst Out to Private Cloud, Burst Out to Public Cloud, Cloud Authentication, Cloud Balancing, Elastic Environment, Infrastructure-as-a-Service (IaaS), Isolated Trust Boundary, Multitenant Environment, Platform-as-a-Service (PaaS), Private Cloud, Public Cloud, Resilient Environment, Resource Workload Management, Secure Burst Out to Private Cloud/Public Cloud, Software-as-a-Service (SaaS)

Storage Workload Management: LUNs are dynamically distributed across cloud storage devices, resulting in more even distribution of associated types of workloads.

LUNs are dynamically distributed across cloud storage devices, resulting in more even distribution of associated types of workloads.

Storage Workload Management: A cloud architecture resulting from the application of the Storage Workload Management pattern (Part I).

A cloud architecture resulting from the application of the Storage Workload Management pattern (Part I).

Storage Workload Management: A cloud architecture resulting from the application of the Storage Workload Management pattern (Part II).

A cloud architecture resulting from the application of the Storage Workload Management pattern (Part II).

Storage Workload Management: A cloud architecture resulting from the application of the Storage Workload Management pattern (Part III).

A cloud architecture resulting from the application of the Storage Workload Management pattern (Part III).

NIST Reference Architecture Mapping

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

Storage Workload Management: NIST Reference Architecture Mapping
Storage Workload Management: NIST Reference Architecture Mapping


CCP Module 5: Advanced Cloud Architecture

This pattern is covered in CCP Module 5: Advanced Cloud Architecture.

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


CCP Module 14: Advanced Cloud Storage

This pattern is covered in CCP Module 14: Advanced Cloud Storage.

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.