The document provides an overview of the DREAM:Lab architecture for sensing, edge analytics, and interactive analytics. It depicts sensors and client devices sending streaming data via message brokers to Apache Storm for processing. Processed data is then stored in HBase and HDFS for interactive analytics in Apache Spark and visualization with Node.js servers and dashboards.

1. DREAM:LabDREAM:Lab
Sensing & Edge
Analytics
Client Device
Message
Broker
Apache Apollo
Android
Streaming Data
Processing
Apache Storm
Interactive
Analytics
Apache Spark
Desktop
Raspberry
Pi
Dashboard &
Viz. Logic
Node.js Server
GLRQlty
Processed Data
HBase
Flow
CloudEdge
Raw Data
HDFS
Reverse Proxy
Nginx
M - MQTT, T - TCP
W - WebSocket
Pub - Publisher
Sub - Subscriber
RT - Real Time Data
QR - Query Result
SJ - Spark Job
JS - Spark Job Status
A - Async, S - Sync
BT - Broker & Topic
Pub/M/T Pub/M/T(A)
Sub/M/W
Sub/M/W
QueryREST
Write
Write
Read
RT|QR(A) SJ JS(A)|QR(S)
Sub/M/T
BT(A)|QR(S)
Sensors
/Motes