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Background Introduction Android OS Architecture Feasibility and Necessity Android RTS Architecture Limitation Improvement Lei Cui.

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Presentation on theme: "Background Introduction Android OS Architecture Feasibility and Necessity Android RTS Architecture Limitation Improvement Lei Cui."— Presentation transcript:

1 Background Introduction Android OS Architecture Feasibility and Necessity Android RTS Architecture Limitation Improvement Lei Cui

2 Android platform has been instantly improved either in terms of features or supported hardware, as well as the extension- based new types of devices, which has attracted much attention from the various industries fields gradually. In other words, the utilization of Android OS based on Linux kernel has covered the whole daily life related to the E-control. However, there is a feature that has not been explored yet - the RT capabilities. This paper provides an idea of adding some RT features into Android platform to make it a RT architecture in order to be used in open real-time environment.

3 Android Architecture ApplicationUppermost layer; a core set of applications; out of the box Application Framework APIs; Services; Librarieslibc: the standard C system library for embedded Linux-based devices Android Runtime Android VM (Dalvik): target for memory/CPU-constrained devices; Infinite register-based machine Linux KernelDrivers; Resource Management; Power Management; Hardware Control Management, etc; HAL: interaction with HW via Drivers Details of Android Architecture

4 1. Why does Android architecture utilize DVM but JVM? Less instruction dispatch and memory access——30% Less CPU resource and computation time More bytes in the instruction stream——35% 2. What is the principle of Dalvik VM?

5 Dalvik-VM Linux Kernel Resource Management Capability

6 Fork() VM father process Child processes Pre-initialization & Pre-loading Of Android APIs and Classes (initial Andriod Runtime & setup VM) All the scheduling activities are delegated by the VM to the kernel

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9 Android Full RT Platform Pros predict priority inversion; better resource management; more-seamless integration; predictability and determinism; Cons Drivers supported natively implement during integration phase; Android Extended Difference(RTSJ) Both works ensure resource reservation & RT tasks scheduling in order to guarantee resource bandwidth to apps, within an interval of time Pros: beneficial for incorporating a more deterministic RT behavior in the VM level; Con: keep up with release cycle of Android Pros: bound-based memory management; RT scheduler in RT-JVM; better synchronisation mechanisms; avoid priority inversion; Cons: integration issues

10 Android Partly RTAndroid with a RT Hypervisor Guest OS Parallel High Priority No need for VM Apps that need VM will not benefit from this model Apps are limited by RT Hypervisor; If RT apps hangs, the sys may hang; Low Integration

11 1.Linux system scheduling unit is 10ms, which is coarse-granularity and cannot provide the precise timing; 2.Until now, when a task or process is called into kernel state from userland it is unpreempted that cannot guarantee the predictability & undeterministics; 3.The utilization of virtual memory technology; 4.……. 5. Lack of effective and efficient RT scheduling algorithms & policies;

12 1.Improve the accuracy of the CPU clock via Clock Counter Register to solve the Linux coarse-granularity issues; eg. RT-Linux & Kurt-Linux; 2.By insert preempted points into kernel functions to solve unpreempted issues that cannot guarantee the predictability & undeterministics; for instance, RED-Linux; 3.……. 4.Define OS scheduling RT framework & algorithms to solve the issues lack of effective and efficient RT scheduling algorithms & policies; RED-Linux, Qlinux, H-SFQ, Cello, SILK, etc.

13 Background Introduction Architecture Implementation & Evaluation Lei Cui

14 The preferences of end-users Developers with consistent usability A convenient development environment Android Platform(upper) Rich & Mature feature set Linux Kernel(bottom) Android Architecture Android stack with RT capabilities in a minimally invasive way via adding a crucial Linux building block Exclusive concern in the industrial embedded domain Remedies for user & programmer of embedded RTS

15 Linux Kernel(Kernel State) Android Framework (User State) Communication & Data exchange

16 RT support by the OS kernel is obviously a mandatory requirement for RT architectures RTAI RTLinux, Xenomai Preempt_rt Litmus-RT … Preempt_rt is not a RT kernel owing to the complexity of the Linux kernel ——impossible to prove upper bounds on all operations under all possible circumstances ——allow to determine upper latency bounds

17 Android Full RT PlatformAndroid Extended The Android userland is heavily based on the Dalvik VM, based on register rather than stack architecture. Obsolete--why Exceed constrained developer resources Provide an insufficient return on investment Linux C without translation by VM

18 Communication Channel Reject unbounded delays Shared-memory & Mutual exclusion  avoid data corruption Easily result in unbounded latencies Shared-memory & Synchronization algorithm  lock-free & wait-free

19 A. Basis Component Integration Based on the preempt_rt release , back-port the BSP from 36 to 33, and forward-port the Android patch set from 32 to 33. B. Shared-memory 1. A system service creates a shared- memory via mmap() sys call; 2. The service registers at Binder; 3. All programs acquire reference via Binder call; 4. Native clients receive pointer directly; JNI library provides access methods to Android apps.

20 C. Demo D. Latency MeasurementsE. Efforts


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