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14 Ch. 1 Introduction

EXHIBIT 1.6 SERVICE-ORIENTED DISCOVERY AND ANALYSIS TRANS-

PARENCY MODEL

2. Technological traceability. This aspect of transparency is about technological decisions

that must be reported and evaluated, including selection of commercial off-the-shelf

(COTS) products, such as language platforms, messaging facilities, and metadata reposi-

tories. Service deployment and conﬁguration mechanisms and service mediation and distri-

bution techniques are other concerns that should be traced.

3. Business traceability. Business traceability is about identifying the business value propo-

sition of a service, the contribution of a service hosting environment to organizational con-

cerns, and return on investment when it comes to launching service-oriented projects. It is

also about evaluating the feasibility of business strategies, practicality of business require-

ments, and how effective services satisfy business imperatives.

4. Operational transparency. This traceability aspect is related to the assessment of service

operations in production. It is about the evaluation of a service’s capability to interact with

its consumers, exchange messages with its peer services, sustain high consumption rates,

uphold high transaction volumes, and offer technological and business continuity with min-

imum disruption to its operations.

SERVICE MODELING: A VIRTUAL VENTURE. “Virtual modeling of services” is a phrase that de-

picts the design and architecture of an intangible operating environment, simulated service processes

and capabilities, and emulated service relationships with corresponding consumers. This paradigm

obviously deﬁnes the manipulation of the nonphysical computing landscape that imitates a deployed

production environment and the consumers it serves. The major players that participate in the design

and architecture venture that takes place in a virtual service world are virtual services, consumers,

networks, servers, platforms, repositories, and more. Again, this modeling environment is devised

to mimic the real computing world and the transactions that are exchanged.

Therefore, service modeling is a requirement that drives the service-oriented discovery and

analysis process. To virtualize a service internal structure, functionality, and its external hosting

environment, leverage the proposed modeling language and notation to promote business and tech-

nological goals, solve problems, and offer efﬁcient solutions. By modeling a proposed remedy, we

not only simulate a tangible deployment landscape and its technologies and architectures, we also

contribute to organizational expenditure reduction and minimize project risks. To learn more about

modeling techniques, processes, and patterns that can be employed during the service-oriented dis-

covery and analysis process, refer to Chapters 14 through 22.