期刊
出版社
ASSOC COMPUTING MACHINERY
DOI: 10.1145/3302505.3310079
关键词
Macroprogramming; Declarative programming; Distributed systems; IoT networks; Visualized programming; Adaptation; Dynamic reconfiguration; Fault tolerance
资金
- Army Research Laboratory (ARL) [W911NF-17-2-0196]
- CONIX Research Center, one of six centers in JUMP
- DARPA
Programming distributed applications in the IoT-edge environment is a cumbersome challenge. Developers are expected to seamlessly handle issues in dynamic reconfiguration, routing, state management, fault tolerance, and heterogeneous device capabilities. We introduce DDFlow, a macroprogramming abstraction and accompanying runtime that provides an efficient means to program highquality distributed applications that span a diverse and dynamic IoT network. We describe the programming model and primitives used to isolate application semantics from arbitrary deployment environments. Using DDFlow leads to portable, visualizable, and intuitive applications. The accompanying system runtime enables dynamic scaling and adaptation, leading to improved end-to-end latency while preserving application behavior despite device failures.
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