RP4.5 Complex event processing for state detection and analysis in supply networks – Connected objects representing the Internet of Things in supply networks will generate copious amount of data in the form of events. These events will be distributed in nature and display non-deterministic and asynchronous characteristics. Global state detection as well as discrete/continuous query processing would therefore be a challenge in view of the distributed nature of events. ICT research in CEP should devise solutions for more responsive supply networks with capability for comprehensive monitoring and management of events, exceptions and scenarios. RP4.5 contributes ‘what-if’ to the realisation of ICT recommendations IN9 Big-data analytics and real-time decision making and IN10 Intelligent visualisation of big data. Industrial challenges Potential outcomes Lack of integrated CEP engines in conventional Increase of business and intelligence business systems makes detection of states and across all tiers of an enterprise, resulting in faster queries intractable; reaction time to shopfloor alerts or changing logistics Since events could be generated at any level ranging situations; from shopfloor to the business layer across any Enable decision makers to monitor exceptions across enterprise in the network, detection and query geographically-distributed plants; and processing would be challenging in presence of Business opportunities for SMEs to configure and sell and asynchronous characteristics; and analytical services on large enterprise data through Persistence and subscription of events in the Manufacturing App Store. scenario is a challenge. ICT research requirements Issues related to persistency, subscription and brokerage of events generated within network of Adapt existing CEP algorithms used in the financial Internet-of-Things resources. world for detecting states and processing queries in distributed deployment of Internet of Things in supply network of Manufacturing 2.0 enterprises; Investigate formulation of predicates query for – – Ambition Radar TRL detection and ways to filter, aggregate and correlate results from multiple predicates; Impact Factor Explore complexities of detecting different classes 2.2 of monotonic as well as non-monotonic predicates in conjunctive, disjunctive and relational queries; Horizon 2020 optimisation techniques for varying window By 2016 By 2018 By 2020 and predicate size within CEP engines; and
RP4.5 – Complex event processing for state detection and analysis in supply networks Connected objects representing the Internet of Things in supply networks will generate copious amount of data in the form of events. These events will be distributed in nature and display non-deterministic and asynchronous characteristics. Global state detection as well as discrete/continuous query processing would therefore be a challenge in view of the distributed nature of events. ICT research in CEP should devise solutions for more responsive supply networks with capability for comprehensive monitoring and management of events, exceptions and ‘what-if’ scenarios. RP4.5 contributes to the realisation of ICT recommendations IN9 Big-data analytics and real-time decision making and IN10 Intelligent visualisation of big data. Industrial challenges Lack of integrated CEP engines in conventional business systems makes detection of states and queries intractable; Since events could be generated at any level ranging from shopfloor to the business layer across any enterprise in the network, detection and query processing would be challenging in presence of and asynchronous characteristics; and Persistence and subscription of events in scenario is a challenge. Potential outcomes Increase of business and intelligence across all tiers of an enterprise, resulting in faster reaction time to shopfloor alerts or changing logistics situations; Enable decision makers to monitor exceptions across geographically-distributed plants; and Business opportunities for SMEs to configure and sell analytical services on large enterprise data through the Manufacturing App Store. ICT research requirements Adapt existing CEP algorithms used in the financial world for detecting states and processing queries in distributed deployment of Internet of Things in supply network of Manufacturing 2.0 enterprises; Investigate formulation of predicates – query – for detection and ways to filter, aggregate and correlate results from multiple predicates; Explore complexities of detecting different classes of monotonic as well as non-monotonic predicates in conjunctive, disjunctive and relational queries; optimisation techniques for varying window and predicate size within CEP engines; and Issues related to persistency, subscription and brokerage of events generated within network of Internet-of-Things resources. Ambition Radar TRL Impact Factor 2.2 Horizon 2020 By 2016 By 2018 By 2020
001-ActionPlanTD33FinalRoadmap.docx