Edge Computing And IoT

Required Readings⌗

• The Computing Landscape of the 21st Century

Optional⌗

• Transactuations
• The Emerging Landscape of Edge Computing

Summary⌗

• Tiers in Computing
• Why Edge Computing
• Closing the Latency-Bandwidth Gap
• Is Edge Computing New
• Edge Computing Drivers
• Distributed Edge Computing
• IoT and Distributed Transactions
• Transactuations
  • Transactuation Invariants
• Evaluation of Transactuations
  • Programmability

Tiers in Computing⌗

Demand for lower latency drives compute towards where data is collected

Clouds -> Cloudlets (luggable, vehicular, mini-datacenter) -> IOT (drones, security cameras, smartphones) -> RFID tags

Why Edge Computing⌗

Newer workloads (HD Video, AR/VR, SmartCity & Automation) increase demand for bandwidth-intensive and latency-sensitive systems.

Working from home also shifts connectivity needs.

Closing the Latency-Bandwidth Gap⌗

5G helps, but might be too little, too late.

Transitioning to newer software stacks has been traditionally slow, but is getting faster due to trends of Open Source Software and commodity hardware.

Moving computation to the closer to devices at the users is called edge computing.

Is Edge Computing New⌗

CDNs have existed for a long time. CDNs are basically just caches, and still don’t hit the scale of edge computing.

Edge Computing Drivers⌗

• Speed of Light
  • Data can only move so fast
• Data growth
• New Apps
  • 5G
  • Video
  • AR/VR
  • IoT
  • Cognitive tasks
  • Enterprise/private LTE
• Data Sovereignty laws

Distributed Edge Computing⌗

Edge != Cloud

Scale and geo-distribution are different

“Chatty” protocols are not appropriate

• heartbeats, etc

Edge is not elastic

Mobility, device churn, reliability

Variability/heterogeneity

Localization, contextualization

Decentralization

IoT and Distributed Transactions⌗

Smart devices -> edge gateways -> Cloud

• Sensors and Actuation

Physical state != application state

Transactuations⌗

High level programming abstraction and model

perform(applicationLogic,
        [sensorList, timeWindow, sensingPolicyt],
        [actuatingPolicy])

onSuccess() and onFailure() methods

Provide atomic durability of actuations

Transactuation Invariants⌗

• Sensing invariant
  • Transactuation executes only when staleness of its sensor reads is bounded, as per specified sensing policy.
• Sensing policy
  • How much staleness is acceptable?
  • How many failed sensors are acceptable?
    • At least one CO2 sensor must be read within last 5 minutes
• Actuation invariant
  • When a transactuation commits its app states, enough actuations have succeeded as per actuation policy.
• Actuation policy
  • How many failed actuations are acceptable?
    • At least one alarm should turn on.

Evaluation of Transactuations⌗

Evaluation Questions:

• Impact on programmability
  • Typically lines of code
• Impact on performance during failure-free execution
  • Benchmark before and after adding safety measures
• Impact on correctness during failures
  • Unit/e2e tests before and after adding safety measures

Programmability⌗