Full text: Proceedings, XXth congress (Part 2)

  
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B2. Istanbul 2004 
concerns for each phase of the process. Common stan- 
dards include generalised enterprise reference architecture 
and methodology, GERAM (IFIP-IFAC, 1998), Purdue en- 
terprise reference architecture, PERA (Williams and Li, 
1998), computer integrated manufacturing open systems 
architecture, (CIMOSA), and Grai Integrated Methodol- 
ogy (Grai-GIM). Similarly, standards for B2B integration 
are increasingly available e.g. EDI, RosettaNet, BPEL4WS 
etc: 
As standards for business process integration get increas- 
ingly available and the technology for open geoprocess- 
ing becomes mundane, the potential for GI providers to 
evolve into responsive and competitive partners in the ge- 
ographic services infrastructure explodes. Nonetheless, GI 
enterprises need a sound strategic policy on the role of IT 
in the enterprise. This policy is necessary if the enterprise 
is to effectively leverage ICT and create a dynamic fit be- 
tween its internal structure and the products and services it 
offers in the marketplace. 
  
Enterprise Integration 
Reference Architectures & 
methodologies 
  
  
   
    
  
  
  
  
  
   
  
  
     
  
    
  
: » 
0 
N 
? NN 
/ S. Business x À 
e Business | Process \ \ 
Model(s) | Model(S) | 2 
E [iw 
Enterprise | QoS s 
w Al 
~~ 
B2B &B2C standards, 
Best practices 
    
Figure 3: The enterprise integration framework 
Figure 3 is a framework for enterprise integration in which 
the reference architectures and methodologies and busi- 
ness process integration standards play a role. The frame- 
work comprises: 
e A strategic mission that spells the role and purpose of 
the enterprise. 
e A corporate IT strategy that defines the place and pur- 
pose of IT in the organisation. 
e Enterprise model, which is a computational model of 
the structure, activities, processes, and resources that 
make up the enterprise and is necessary to support 
analysis and operation of the enterprise especially in 
volatile environments where the effects of changes to 
processes need to be quickly estimated. It's very use- 
ful for evaluating *what if? scenarios. 
e Business models defining strategic product-service of- 
ferings of the enterprise and its position in the mar- 
ket place. Basically, these define what the enterprise 
216 
does, for whom and how it raises revenue from its ac- 
tivities. 
e Business process models that capture the networks of 
value-adding activities necessary to realise the product- 
service offerings. They are computational models for 
reasoning about the business process. 
e Quality models that capture important performance 
and quality measures across the enterprise, with ap- 
propriate measures and ways of estimating them. They 
also define how to address transient performance or 
quality problems. 
e The enterprise integration reference architectures and 
methodologies, business process integration standards, 
bench marks and best practices that provide valuable 
guidelines and methods for developing and operating 
efficient and responsive GI enterprises through intra- 
and inter-enterprise integration. 
6 CONCLUSION 
GI services are fast emerging as the state of the art in geo- 
processing and present exciting QoS challenges. Provision 
of hard QoS guarantees on the Internet remains elusive, 
and QoS-aware chaining of GI services is an important 
and necessary step towards QoS guarantees in Internet geo- 
processing, and will greatly enhance the quality perceived 
by the user or Internet GI application. An architecture for 
QoS-aware service chaining is presented, which is particu- 
lary relevant to opaque service chaining, where naive users 
are at play. An extensible QoS model is also defined, in 
which QoS requirements are a set of constraints on any 
specified measures or their combinations. 
In the increasingly competitive and global GI markets, com- 
petitive enterprises will be highly agile and responsive. Gl 
services, and the emergent services infrastructure, offers 
an innovative technology for collaborative geoprocessing. 
However, for the technology to deliver robust benefits to 
the GI community, GI providers, many being traditional 
mapping and cadastral agencies managing the a large pro- 
portion of the worlds’ geospatial resources from decades of 
activity, need to evolve into effective partners in the mar- 
ketplace. The enterprise integration framework presented 
in the paper identifies the fundamental building blocks in 
designing, developing and operating highly integrated GI 
enterprise as an effective service providing node in the GI 
service infrastructure. 
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