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Representation and technique to transform Business Policies to Operational Strategies

IP.com Disclosure Number: IPCOM000226383D
Publication Date: 2013-Apr-01
Document File: 5 page(s) / 37K

Publishing Venue

The IP.com Prior Art Database

Abstract

A representation and technique to transform business policies to operational strategies is disclosed.

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Representation and technique to transform Business Policies to Operational Strategies

Disclosed is a representation and technique to transform business policies to operational strategies.

Described is an architecture and representational framework to transform/translate high level business policies into a set of operational strategies considering current configuration and real-time states of the system under management.

A business policy is high level statement or declaration of business objectives. The following are examples of business policy objectives:

"Reduce the overall power consumption by 10%"


"Gold customers get 99.8% availability of the application"


"Response Time for critical transactions should be better than 3 seconds during

normal working days"

These policy statements represent the functionality and performance expectations of the stake holders independent of the System Under Management (SUM) and current system status. Realization or achieving these objectives is through mapping them to strategies that are appropriate for the system configuration and characteristics. This transformation is often done manually based on the domain expertise of system engineers and IT managers. This often leads to issues like:

Lack of consistency in policy implementation


1.

Lack of enough expertise / preservation of expertise leading to:


2.

Delays to responses in case of non-conformity to the policies


a.

Inability to correlate the operational policies to business policies


b.

An autonomic technique that could map the business policy to operational policy can alleviate the issues above. Disclosed is a generic approach to perform the transformation using intelligent rules.

Known Solutions/Drawbacks

Manual efforts to map the business policy to corresponding operational policies. No


1.

consistency, error-prone, costly, and could be even slow.

Developing cookbooks to perform the mapping for pre-defined system


2.

configurations. This is difficult to maintain as there can be many system configuration and configuration and real-time status of the same may change frequently.

The IT systems / Data Centers are becoming increasingly complex in nature. There are a number of variables that can be altered / tuned to modify the performance and functionality. The hardware modules and the middleware support enhanced configurability in terms of resource allocation, activation/ passivation, multiple modes of operation, etc. Even human experts may find it difficult to manage these resources

1


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optimally to meet the business service-level agreement (SLA) specified. While there are low level autonomic modules are available there are no good linkages to the operational procedures to business policies. An autonomic intelligent system to translate the business objectives into context specific operational strategies would be hugely beneficial for an end-to-end policy enforcement and control.

The disclosed transformation rules are based on the followin...