Efficient Remote Profiling for Resource-Constrained Devices
The widespread use of ubiquitous, mobile, and continuously-connected computing agents has inspired software developers to change the way they test, debug, and optimize software. Users now play an active role in the software evolution cycle by dynamically providing valuable feedback about the execution of a program to developers. Software developers can use this information to isolate bugs in, maintain, and improve the performance of a wide-range of diverse and complex embedded device applications. The collection of such feedback poses a major challenge to systems researchers since it must be performed without degrading a user's experience with, or consuming the severely restricted resources of the mobile device. At the same time, the resource constraints of embedded devices prohibit the use of extant software profiling solutions.