Use Cases
From BiCEP
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== Functional Requirements == | == Functional Requirements == | ||
| - | + | * Creation of (base) events | |
| - | + | ** Procedures/applications | |
| - | + | ** Declarative based on temporal data model | |
| - | + | * Event operations (selection/fusion/enrichment) | |
| - | + | ** Selection | |
| - | + | ** Projection | |
| - | Composition | + | ** Composition |
| - | Enrichment (complex) pattern recognition maybe based on regular expressions) | + | ** Enrichment (complex) pattern recognition maybe based on regular expressions) |
| - | Subscriptions and dissemination | + | * Subscriptions and dissemination |
| - | Event definition and selection | + | ** Event definition and selection |
| - | Publisher/data source selection (fixed or attribute based) | + | ** Publisher/data source selection (fixed or attribute based) |
| - | Consumer selection (fixed or attribute based) | + | ** Consumer selection (fixed or attribute based) |
| - | Mutual filtering (yes/no) | + | *** Mutual filtering (yes/no) |
| - | Rich visualization (e.g., dashboards) | + | * Rich visualization (e.g., dashboards) |
| - | + | ** Need more stuff? | |
| - | + | * Advanced analytics | |
| - | + | * Is this scenario distributed in nature? (Yes/no) | |
| - | + | * This should be integrated with the event operations | |
| - | Have out-of-order events? (Yes/no) | + | ** Have out-of-order events? (Yes/no) |
| - | + | ** Uses historical analysis? (Yes/no) | |
| - | + | ** Size of moving windows (very big/big/small) | |
| - | + | ** Similarity search (i.e., find patterns that look like this pattern) (precision/recall?) | |
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| - | + | == Operational requirements == | |
| - | + | * Throughput (Ultra High throughput/High throughput/Medium throughput) | |
| - | + | * Response time (>10 sacs/>1 sec/sub-second) | |
| - | + | * Enrichment performance | |
| - | + | * Scalability (i.e., how big is the problem in terms of data size, queries/users). Record size | |
| - | + | * Benefit from computational sharing (i.e., if there are many similar queries that can be processed more efficiently jointly by computing the common part than by treating each query separately) | |
| + | * What is the complexity of the detection/pattern matching logic? (Very high/high/medium) | ||
| + | * Provides transactional guarantees? | ||
| + | * Privacy | ||
| + | * What is the relative cost of false positives and negatives? (High/low) | ||
| + | * What value-add does this solution provide? (End-user productivity/new types of applications) | ||
| + | * Amount of work to integrate EP with existing systems? (High /medium) | ||
| + | * Security | ||
| + | * Audit | ||
| + | * Tracking | ||
| + | * Ad-hoc querying and adaptively | ||
| - | + | == Product TOC Requirements == | |
| - | + | * Cost of SW/HW | |
| + | * Education | ||
| + | * Development cost/ease (e.g., API available?) | ||
| + | * Deployment | ||
| + | * Maintenance/Migration | ||
| + | * Interoperability | ||
| + | * How good is the product scalability in terms of? | ||
| + | ** Scale-up: increase the system and increase the load | ||
| + | ** Speed-up: increase the system and maintain the load | ||
| + | ** Load-up: maintain system but increase the load | ||
| + | * Types of communication allowed (push, pull, scheduled)? | ||
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| - | Big Science | + | == Domains == |
| - | Particle Physics | + | * Business |
| - | Radio Astronomy | + | ** Algorithmic Trading |
| + | ** Business Activity Monitoring | ||
| + | ** Retail Operations Automation | ||
| + | ** Fraud Detection | ||
| + | * Sensor Driven | ||
| + | ** Health Monitoring | ||
| + | ** Military | ||
| + | ** Ambient Intelligence | ||
| + | ** Traffic Control | ||
| + | ** Nature Monitoring (avalanche, forests, oceans, etc) | ||
| + | * New Apps | ||
| + | ** Gaming (MMOG) | ||
| + | * IT | ||
| + | ** Network Management | ||
| + | ** System Diagnostics | ||
| + | * Big Science | ||
| + | ** Particle Physics | ||
| + | ** Radio Astronomy | ||
Mamy more missing… | Mamy more missing… | ||
