A Framework for Speeding Up Mobile Code Execution in Embedded Systems Using Superoperators and Annotations

嵌入式平台越来越多地用于连接Web和执行移动代码。这些平台是一个资源受限的环境，其中解释执行移动代码是常态，因为动态编译是不可行的。同时，执行代码的性能是至关重要的，并且通常是系统功能和用户感知的限制因素。本文提出的研究目标是：1)在不增加资源需求的情况下，显著提高嵌入式平台上移动代码解释器的性能；2)设计一个资源受限的动态编译系统，与解释器一起使用，进行自适应优化，进一步提高性能。通过使用广泛的编译时分析，并通过代码注释将分析结果传递给运行在客户机系统上的解释器，可以实现这些目标。注释将识别超级操作符，即可以作为一个单元执行并一起优化的指令组。这将通过最小化通信开销和调度成本来实现更有效的口译。注释还允许自适应动态优化，需要更少的资源和很少或没有开销。

Embedded platforms are increasingly used to connect to the Web and are executing mobile code. These platforms are a resource-constrained environment in which interpreted execution of mobile codes is the norm because dynamic compilation is not feasible. At the same time, the performance of the executed code is of critical importance and is often a limiting factor in both the capabilities of the system and user perception. The goals of the research proposed here are 1) to significantly improve interpreter performance for mobile code on embedded platforms without increasing resource requirements and 2) to design a resource constrained dynamic compilation system to be used with an interpreter for adaptive optimization to further improve the performance. The goals will be achieved by using extensive compile-time analysis and by passing the results of the analysis to the interpreter running on a client system via code annotations. Annotations will identify super-operators, groups of instructions that can be executed as a unit and optimized together. This will allow a more efficient interpretation by minimizing communication overhead and dispatch costs. Annotations will also permit adaptive dynamic optimization requiring fewer resources and little or no overhead.