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Research Issues in Web Services
CS 4244 Lecture
Zaki MalikDepartment of Computer Science
Virginia [email protected]
DocumentWeb
ApplicationWeb
ServiceWeb
- Sharing research documents among scientists
- Proprietary & closed systems- ad hoc interactions
- Emergence of XML-based standards for description, invocation, discovery, …- Ubiquitous protocols (HTTP, …)
Web Services
time
Evolution of the Web
The Web Service Model
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Computer
Web Service
Web Service
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ServiceRegistry
ServiceConsumer
ServiceProvider
PublishFind
message
exchange
has defines
Service Description
UDDI Publication
UDDI Inquiry
SOAP
WSDL
UDDI Registry
Web Browser
Motivation
• Exploratory – The process of selecting Web services is non-deterministic– Web services are a priori unknown– Services should be determined dynamically
• Volatile– A Web service answering a request at a given time may not be
available to answer the same request in the future– Services may become unavailable in the interval between
selection and invocation• Dynamic
– Web service content provided by the operations may change frequently
– Change may affect the overall execution of the request
Scenario
Issues
– Select Web services with appropriate functionality (Querying)
– Must be discovered in a reasonable time (Querying)
– Multiple services may provide same functionality (Querying, Reputation)
– More than one service might have to be selected (Composition)
– Web services may change over a period of time (Change)
Issues
• Web Services Query Optimization
• Web Services Trust
• Web Services Composition
• Web Services Change Management
Web Services Query Optimization
• Check the Needed Operations
• Locate Web Services that Provide the Operations
• Potential Hindrance– Large Service Space
Web Services Query Optimization
• Reduce Web Service Search Space
• Filter out “Inefficient” Services
• Choose the Best Web Services
Web Services Query Optimization
• Need:– Organization of the Large Web Service Space– Compare the Service Execution Plans– Select the Needed Web Services, Based on QoS
Quality of Service (QoS)– Set of characteristics of a system, necessary to achieve
the required functionality
• QoS Attributes– Reputation: Objective evaluation of trust– Response Time: Delay between request and response – Availability: Probability of system accessibility– Service Fee: Price demanded for service
• Trust: the belief that a service consumer has about the intention and ability of a service provider to act as expected
Web Services Trust
Consumer’s perspectiveProvider’s perspective
Incentives for Establishing Trust
- Establish, - Maintain, - Increase client base
- Reduce Risks- Preserve Privacy- Increase quality
• Challenges
Web Services Trust
Automation
Non Transparency
Transience
Composition
- Automation of processes involving complex, subjective decision making- Agents must be able to reason about whether to trust a service and take decisions on behalf of users
- Services workflow is opaque- Service consumers have little information to form accurate perceptions about services
- Services may be suspended, renamed, redeployed- It is not easy to keep track of services’ history
- A composite service may be formed of “good” and “bad” services- Consumers are not aware of how services are composed and how they interact
Alternatives for Trust Establishment
Self regulation
Regulations
Third-party Certification
Security Mechanisms
- Service providers may or may not implement their commitments- Service providers may change their policy
- May be violated- Not globally enforceable
- Does not scale to the service Web
- May achieve confidentiality, authorization, authentication, …- Not necessarily trust
ReputationThird-Party Certification
Regulations Self RegulationSecurity
Mechanisms
T r u s t
Reputation
• Reputation Management– A service’s reputation within a community of
consumers is a perception shared by some or all of the members of that community about that service
• Approach– Consumers rate Web services– Consumers collaborate to assess services’
reputation– Trust in services derives from their reputation– Reputation-based service selection and
composition
Reputation• Collection
– Automatic Rating of Web Services– Rating Collection– Bootstrapping
• Assessment– Metrics and Models
• Storage
• Dissemination– Push-based– Pull-based
• Robustness– Prevention and Detection of Reputation Tampering
• Trust-based Selection and Composition
Web Services Composition
• Two or more services come-together to provide a value-added functionality
• Understanding the semantics of Web services
• Composability: Can Web service be composed together?
• Generate composite service descriptions
Web Services Composition
Requirement Impact on Service Composition
Dynamics - On the fly business relationships- Adaptability to changes
Large Size - Fast composition- Scalability (number of services, etc.)
Peer-to-Peer - No central authority to manage interactions among component services
Autonomy - Component services interact based on their own terms
Heterogeneity - Different component service capabilities (communication, content, and business logic)
• Declarative Composition– Describing the composite service
• Composers’ input (component services, operations,…)• Recursive composition
– Generating composition plans
– Selection of a composition plan
• Support of Dynamic Relationships– Specification of dynamic relationships
– Selection of candidate services (selection policies)
– Mapping to selected services (messages, operations, …)
Web Services Composition
Web Services Change Management
• Change Management definition:– Detection
• Awareness that a change has occurred• Subsequent identification of its cause
– Propagation• Informing all concerned entities in the system that a change has occurred
– Reaction• Executing a compensatory process that brings the system back to safe
execution mode• Categories of changes:
– Internal• Changes that occur inside a Web service• Example: change in the content provided by a Web service
– External• Changes that occur outside of a Web service• Example: temporary or permanent unavailability of a service or its
operations
Change Management Mechanisms
• Detection– Service unavailability - agents send frequent alive messages to
participant services– Change to operations - compare service descriptions in the registries
with the ones in the system– Change in content - periodic invocation of the an operation and
comparing the subsequent results• Propagation
– Web services participating in a service request are registered with a participant list
– Participant list is maintained by agents• Agents initially add Web service descriptions to the list• The Participant list is consulted before a service is invoked• Agents remove the service description from the list if change occurs
• Reaction– Selection of alternate Web services to fulfill a request– Request cancellation if no alternate service is available– Reaction to internal change is in the form of reconsolidating the result
Conclusion
• A complete Web Services Management System is needed
– Services treated as first-class objects– Optimization, Trust, Composition, and Change
Management seen as major components