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上課地點(diǎn)：【上海】：同濟(jì)大學(xué)(滬西)/新城金郡商務(wù)樓(11號(hào)線白銀路站) 【深圳分部】：電影大廈(地鐵一號(hào)線大劇院站)/深圳大學(xué)成教院 【北京分部】：北京中山學(xué)院/福鑫大樓 【南京分部】：金港大廈(和燕路) 【武漢分部】：佳源大廈（高新二路） 【成都分部】：領(lǐng)館區(qū)1號(hào)（中和大道） 【廣州分部】：廣糧大廈 【西安分部】：協(xié)同大廈 【沈陽(yáng)分部】：沈陽(yáng)理工大學(xué)/六宅臻品 【鄭州分部】：鄭州大學(xué)/錦華大廈 【石家莊分部】：河北科技大學(xué)/瑞景大廈
開(kāi)班時(shí)間(連續(xù)班/晚班/周末班）：2020年3月16日 |
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SOA and EDA
The fusion of SOA and EDA into ED-SOA
Combining events and services
Business rule processing
Transforming messages
Solicit-Response
Different ways of thinking about problem solving
WS-Eventing
Potential overlap between SOA and EDA
Standardizing event processing rules
Fundamental EDA Characteristics
Decoupled interactions
Publish/Subscribe messaging
Many-to-many communications
Event-based triggers
Asynchronous interactions
How does ED-SOA support faster responses?
Event-driven Architecture
Event processors
Using a dashboard
Event monitoring
Event infrastructure
Propagation of events
Kicking off a business process
SOA Action Framework
Triggering actions
Subscribing to an event
The ESB and event propagation
Complex event processing
Event consumers
Event producers
Storing and forwarding events
Facilitating system responsiveness
Event processing Styles
Simple processing
Handling real-time flow of work
Reducing lag time and cost
Stream processing
Real time flow of information
Enabling in-time decision making
Complex processing
Inferring event occurrence
Event correlation
Sophisticated event interpreters
Responding to business anomalies
Enterprise Service Bus (ESB)
Standard-based connectivity
Transport services
Message routing capabilities
Message transformation features
Event services
Mediation capabilities
Protocol mediation
Content mediation
Configuring a simple ESB solution
Pervasive integration
Reliable integration
WS-Eventing
Delivery modes
Subscription managers
Notations and terminology
Subscription messages
Notifications
Faults
Security considerations
Message security
Access control
Complex Event Processing (CEP)
CQL - Complex Query Language
Event Attributes or properties
Granularity of events
Using timestamps
Creation time and arrival time
Event processing language (EPL)
Event processing agents (EPA)
Composite events
Derived events
Event source and event channel
SOA event Patterns
Discovering event patterns
Commands
Queries
Event pattern monitoring
Monitoring for control of process execution
Event cascade
When to use event patterns
Event sourcing
Structuring the event handler logic
Reversing events
SOA events and the SLA
Importance of a Service level agreement
Keeping services within the agreement
Instances violating the SLA
Priority for executing risk assessment steps
Building autonomous processes
Monitoring and event pattern triggering
Dependence between events
Software Platform for ED-SOA
Software Tools for ED-SOA
Event-optimized runtimes
Supporting bulk application of rules
Dynamic data-driven event definition
Agents and streams
Guaranteed pause times
Sensors and event-processing agents
Responders
Conclusions
Building of processes facilitated by ED-SOA
ED-SOA constructed using BPM
CEP principles as component of ED-SOA
The increasing quest for control of BP
Real time autonomous operation
Gathering business intelligence from events
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