FogMQ is a message brokering and device cloning service in fog and edge computing. Excessive tail end-to-end latency occurs with conventional message brokers when a massive number of geographically distributed devices communicate through a message broker. Latency of broker-less messaging is highly dependent on computational resources of devices. Deviceto-device messaging does not necessarily ensure low messaging latency and cannot scale well for a large number of resourcelimited and geographically distributed devices. For each device, FogMQ provides a high capacity device cloning service that subscribes to device messages. The clones facilitate near-theedge data analytics in resourceful cloud compute nodes. Clones in FogMQ apply Flock; an algorithm mimicking flocking-like behavior and allows the clones to autonomously migrate between heterogeneous cloud platforms. Flock controls and minimizes the weighted tail end-to-end latency. We have implemented FogMQ and evaluated it in a geographically distributed testbed. In our functional evaluation, we show that FogMQ is stable and achieves a bounded tail end-to-end latency that is up to 34% less than existing brokering methods.

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message brokers brokerless messaging computational resources algorithm flockinglike behavior message brokering and device cloning service neartheedge data analytics the weighted tail endtoend latency fogmq brokering methods cloud platforms flock controls testbed

Sherif AbdelwahabSophia ZhangAshley GreenacreKai OvesenKevin BergmanBechir Hamdaoui,.When Clones Flock Near the Fog. 5 (3),1914-1923.

Sherif AbdelwahabSophia ZhangAshley GreenacreKai OvesenKevin BergmanBechir Hamdaoui,"When Clones Flock Near the Fog" 5

Sherif AbdelwahabSophia ZhangAshley GreenacreKai OvesenKevin BergmanBechir Hamdaoui,"When Clones Flock Near the Fog"