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Partial State Deferral (Erl)


Home > Service Implementation Patterns > Partial State Deferral
How can services be designed to optimize resource consumption
while still remaining stateful? 		 

Problem

Service capabilities may be required to store and manage large amounts of state
data, resulting in increased memory consumption and reduced scalability.

Solution

Even when services are required to remain stateful, a subset of their state data
can be temporarily deferred.

Application

Various state management deferral options exist, depending on the surrounding architecture.
Impacts

Partial state management deferral can add to design complexity and bind a service to the architecture.

Principles

Service Statelessnes

Architecture

Inventory, Service




Applying this pattern results in the same amount of concurrent service instances but less overall state-related memory consumption.


Related Patterns in This Catalog

Canonical Resources (Erl), Process Centralization (Erl), Service Grid (Chappell), State Repository (Erl), Stateful Services (Erl)


Related Patterns in Other Catalogs

Lazy Load (Fowler), Partial Acquisition (Buschmann, Henney, Schmidt, Kircher, Jain)


Related Service-Oriented Computing Goals

Increased Vendor Diversification Options, Reduced IT Burden


SOA Design Patterns This page contains excerpts from:

SOA Design Patterns by Thomas Erl

Foreword by Grady Booch

With contributions from David Chappell, Jason Hogg, Anish Karmarkar, Mark Little, David Orchard, Satadru Roy,
Thomas Rischbeck, Arnaud Simon, Clemens Utschig, Dennis Wisnosky, and others.

(ISBN: 0136135161, Hardcover, Full-Color, 400+ Illustrations, 865 pages)

For more information about this book, visit www.soabooks.com.
The Prentice Hall Service-Oriented Computing Series from Thomas Erl
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