ABSTRACT:
Web-based collaborations have become essential in today’s business
environments. Due to the availability of various SOA frameworks, Web services
emerged as the de facto technology to realize flexible compositions of
services. While most existing work focuses on the discovery and composition of
software based services, we highlight concepts for a people-centric Web.
Knowledge-intensive environments clearly demand for provisioning of human
expertise along with sharing of computing resources or business data through software-based
services. To address these challenges, we introduce an adaptive approach
allowing humans to provide their expertise through services using SOA standards,
such as WSDL and SOAP. The seamless integration of humans in the SOA loop
triggers numerous social implications, such as evolving expertise and drifting
interests of human service providers. Here we propose a framework that is based
on interaction monitoring techniques enabling adaptations in SOA-based
socio-technical systems.
ARCHITECTURE:
EXISTING SYSTEM:
While most existing work focuses on the discovery and composition
of software based services, we highlight concepts for a people-centric Web.
Knowledge-intensive environments
clearly demand for provisioning of human expertise along with sharing of
computing resources or business data through software-based services.
Disadvantages:
To address these challenges, we introduce an adaptive approach
allowing humans to provide their expertise through services using SOA
standards, such as SOAP.
PROPOSED SYSTEM:
The seamless integration of humans in the SOA loop triggers
numerous social implications, such as evolving expertise and drifting interests
of human service providers. Here we propose a framework that is based on
interaction monitoring techniques enabling adaptations in SOA-based
socio-technical systems.
Advantages:
·
These systems are characterized by both technical
and human/social aspects that are tightly bound and interconnected.
·
The technical aspects are very similar to
traditional SOAs, including facilities to deploy, register and discover
services, as well as to support flexible interactions.
HARDWARE & SOFTWARE REQUIREMENTS:
HARDWARE REQUIREMENTS:
•
System
: Pentium IV 2.4 GHz.
•
Hard Disk :
40 GB.
•
Floppy Drive : 1.44
Mb.
•
Monitor :
15 VGA Colour.
•
Mouse :
Logitech.
•
Ram :
512 MB.
SOFTWARE REQUIREMENTS:
•
Operating system : Windows XP.
•
Coding Language : ASP.Net with C#
•
Data Base : SQL Server 2005
MODULE DESSCRIPTION:
COLLABORATION PARTNERS:
The demand for models to support larger-scale flexible collaborations has led to an increasing
research interest in adaptation
techniques to enable and optimize interactions between collaboration partners. For
example, changing interests and
expertise of people, evolving interaction patterns due to dynamically
changing roles of collaboration partners, or evolving community structures. They
provide the means to specify well-defined interfaces and let customers and
collaboration partners use an organization’s resources through dedicated
operations.
SERVICE INSTANCES:
The concept of personalized provisioning is enabled by creating
dedicated service instances for each single customer of service providers. A
standard service is instantiated and gradually customized according to a
client’s requirements and a provider’s behavior. Web services can help to solve
the interoperability problem by giving different applications a way to link
their data. With Web services you can exchange data between different
applications and different platforms.
INTERACTION MODEL:
User are not statically bound to clients but are discovered at
run-time. Thus, interactions are ad-hoc and dynamically performed with often
not previously known partners. In SOA, interactions are typically modeled as
SOAP messages. Moreover, the document translation service might be successfully
used for research papers in computer science, while it is not frequently used
to translate business documents.
ADAPTATION
STRATEGIES:
Client-driven interventions are the means to protect
customers from unreliable services. For example, services that miss deadlines
or do not respond at all for a longer time are replaced by other more reliable
services in future discovery operations.
Provider-driven interventions are desired and initiated
by the service owners to shield themselves from malicious clients. For
instance, requests of clients performing a denial of service attack by sending
multiple requests in relatively short intervals are blocked (instead of
processed) by the service.
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