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A Case for Ending Monolithic Apps for Connected Devices
Rayman Preet Singh, University of Waterloo; Chenguang Shen, University of California, Los Angeles; Amar Phanishayee, Aman Kansal, and Ratul Mahajan, Microsoft Research
Applications using connected devices are difficult to develop today because they are constructed as monolithic silos, tightly coupled to sensing devices, and must implement all data sensing and inference logic, even as devices move or are temporarily disconnected. We present Beam, a framework and runtime for distributed inference-driven applications that (i) decouples applications, inference algorithms, and devices, (ii) handles environmental dynamics, and (iii) automatically splits sensing and inference logic across devices while optimizing resource usage. Using Beam, applications only specify "what should be sensed or inferred," without worrying about "how it is sensed or inferred." Beam simplifies application development and maximizes the utility of user-owned devices. It is time to end monolithic apps for connected devices.
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