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Can We Talk Now?Can We Talk Now?Technology Selection for an Technology Selection for an Intelligent Status Tracking Intelligent Status Tracking SystemSystem
5th June 2009Sidney Shek (41419979)[email protected]: Dr Rolf Schwitter
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AgendaAgendaProject IntroductionRelated WorkRequirements and System
AnalysisRule Engine EvaluationTechnologies for client and
server partsFuture WorkConclusion
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The ProblemThe ProblemWhere is ‘John’ and how should I contact
him?
What happens if I call during a meeting with the CEO?
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Project AimsProject AimsTo develop a low-cost prototype intelligent
status tracking system (Can We Talk Now?)
◦ Based on Social Networking principles
◦ Populate user’s status information based on
calendar, location, etc.
◦ Use logic to determine ‘best’ means of
communication between two users
◦ To integrate with mobile devices (Apple iPhone)
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Project Phases Project Phases Project split into two phases:
1. Feasibility study and technology selection: Rule engine Client-server communications Server platform
2. Prototype system development
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AgendaAgendaProject IntroductionRelated WorkRequirements and System
AnalysisRule Engine EvaluationTechnologies for client and
server partsFuture WorkConclusion
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Related WorkRelated WorkMany public and private Social
Networking Services (SNS) store status information◦ Not automatically populated◦ No logic rules applied to extract information
Dinoff et al. 2007 reports a similar system to CWTN for service providers or carriers (Intuitive Network Applications)◦ CWTN is low-cost ‘add-on’ system for
individual enterprises
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Learnings from other SNSsLearnings from other SNSsNeed for flexibility in data and functionality
Need to integrate with SNS as mini-application rather than reinventing wheel
Need to address enterprise deployment issues:◦ Security◦ Cultural hindrance◦ Privacy◦ Scale and critical mass
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AgendaAgendaProject IntroductionRelated WorkRequirements and System
AnalysisRule Engine EvaluationTechnologies for client and
server partsFuture WorkConclusion
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Application Data StructuresApplication Data Structures
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Application LogicApplication Logic1. Populating Activity facts based on:
◦ GPS, calendar information, etc.
2. Determining available means of communication based on:
◦ Matching location◦ ‘Free to talk’ status:
Current activity (e.g. meeting versus idle) Relative importance of people Relative urgency of question
3. Prioritising means of communication11
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AgendaAgendaProject IntroductionRelated WorkRequirements and System
AnalysisRule Engine EvaluationTechnologies for client and
server partsFuture WorkConclusion
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Rule Engine EvaluationRule Engine EvaluationEvaluated rule engines: SWI-Prolog,
Prova, Drools, JESS
Criteria included:◦ Support for application logic◦ Integration with Java (for server platform)◦ Enterprise based criteria (robustness,
development environment, support, licence fees)
◦ Future proofing (RuleML, Semantic Web support)
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Comparison of Rule Comparison of Rule EnginesEngines
SWI-Prolog
Prova Drools JESS
1. Support for rules 2. Integration with Java
3. Suitability for enterprise
~ ~
4. IDE Available ~ 5. Licence cost ~6. Future proofing
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Rule Engine Evaluation Rule Engine Evaluation ResultsResultsNo rule engine ideally suited
◦ Backward chaining like Prolog or Prova good for problem, but lacked in other areas
◦ Drools has good support, but is forward chaining
◦ Use Drools for now, with architecture to support simple replacement
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AgendaAgendaProject IntroductionRelated WorkRequirements and System
AnalysisRule Engine EvaluationTechnologies for client and
server partsFuture WorkConclusion
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Client-Server Client-Server communicationscommunicationsMobile device restrictions:
◦ Limited battery◦ Limited CPU◦ Limited libraries
Use REST (RESTlet framework)◦ Fits into SOA◦ Easier to process than Web Services
Use JSON instead of XML◦ Lightweight and less bandwidth
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Server platformServer platformMobile devices need Internet-facing
server◦ Difficult to get for a prototype system!
Deploy prototype to Google App Engine◦ Internet accessible and free JEE server◦ Consider integration with enterprise later
Enterprise hosted server Trusted connection to Google App Engine cloud
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AgendaAgendaProject IntroductionRelated WorkRequirements and System
AnalysisRule Engine EvaluationTechnologies for client and
server partsFuture WorkConclusion
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Future Work – Next PhaseFuture Work – Next Phase
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Future Work – Post-Future Work – Post-PrototypePrototypeEnterprise deployment:
◦Implement integration with SNSs
Research testbed:◦Use of Semantic Web technology for
data storage and reasoning
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ConclusionConclusionAim of project is to develop a low-cost
intelligent status tracking systemInitial feasibility study and technology
selection completed◦ Rule engine, server platform, client-server
communicationsDevelopment iterations scopedNext steps – Design and develop
prototype
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Thank youThank youQuestions?
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