Sun Microsystems 2 manual Establishing Per-Task Context

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CODE EXAMPLE 2-6

{

if (initialized == 0) { initialized = 1; mw_init();

}

KNI_ReturnVoid();

}

Note that no mutual exclusion is necessary in native methods. The CLDC HotSpot Implementation has a single thread that runs all Java threads and all native methods. This thread can run at most one native method at a time. The system cannot context- switch to another Java thread while it is in the midst of a native method. Therefore, in the CLDC HotSpot Implementation, all native methods are essentially critical sections. This makes it possible to write native code without many concurrency considerations.

Note – Your system might employ multiple native threads. If this is the case, you might need to employ native-level mutual exclusion facilities such as Pthreads mutexes.

While it is convenient to treat each native method as a critical section, one must ensure that data access and updates are done within a single native method. If any logic about updating native state is performed by Java code, such as mixing Java and native methods, or by making multiple native method calls, this creates race conditions. Running any Java code provides an opportunity for Java threads to be context switched, and conditions established by code before the context switch might be invalid after the context switch. The example from

suffers from exactly this problem.

Establishing Per-Task Context

Migrating Java platform data to native can work well for global singletons, but it doesn’t work for other situations. In the case of the cook operation, the data is built using a sequence of setup calls to mw_settime() and mw_setpower(), followed by a call to mw_cook() that initiates the operation using the parameters previously set up. The library implicitly stores this information in its internal static data. Thus, it’s effectively global.

But no global data exists because the data really belongs to the thread that’s setting up to initiate the cooking operation. In this case, the data needs to be migrated upward to be closer to the calling thread. The setup data doesn’t need to be sent to the microwave library until immediately prior to the call to the mw_cook() function.

Chapter 2 Multitasking Safety 15

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Contents Multitasking Guide Page Contents Glossary Index Code Samples Vi Multitasking Guide May Tables Viii Multitasking Guide May Before You Read This Guide PrefaceRelated Documentation How This Guide Is OrganizedAaBbCc123 Typographic Conventions Used in This GuideSun Welcomes Your Comments Accessing Sun Documentation OnlineIntroduction Multitasking Mechanisms Compared With Policies RobustnessMultitasking Guide May Multitasking Safety Multitask Safety and Multithread Safety Global and Static Data Singletons Code Example 2-1Native API for a Microwave Oven Multitasking Safety ExampleTypical usage of this API is shown in Code Example Multithread Safety Code Example 2-5Using the Locking Mechanism Multitask Safety Code Example 2-7Migrating Initialization to Native Code Establishing Per-Task Context Code Example 2-8Keeping State in Java Code Code Example 2-9Implementing the Native ncook Method Kniexport Knireturntypeint Multitasking Safety Multitasking Guide May Managing Native Resources Reservation Resource Management MechanismsLimit Revocation Default Resource Allocation PoliciesCustomization of Resource Allocation Policies Maximum number of tasks isolates allowed Managing Native Resources Multitasking Guide May Switching the Foreground MIDlet Other Multitasking IssuesDefault Policy Scheduling the CPUAlternative Policies and Their Implementations Default CPU Scheduling Policy Interrupting the User Default User Notification PoliciesGlossary Java Community ProcessTM Jcptm Glossary Sun Java Device Test Index Multitasking Guide May
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Sun Microsystems, founded in 1982, was a significant player in the computing industry, best known for its innovative technology solutions and workstations, particularly the Sun-4, which represented a key milestone in the company's history. The Sun-4 architecture, launched in 1987, utilized the SPARC (Scalable Processor Architecture) RISC processor, notable for its high performance and scalability.

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Sun Microsystems was also ahead of its time with innovations in network computing. Their workstations were among the first to support network file systems and distributed computing concepts, enabling seamless data sharing across multiple systems. With the introduction of the Network File System (NFS), Sun revolutionized how data was accessed and managed across networks, which played a significant role in the evolving landscape of client-server computing.

In summary, the Sun Microsystems 2 and its successive innovations in workstation technology highlighted the company's forward-thinking approach. By integrating powerful performance with open systems, robust operating systems, and advanced networking capabilities, Sun laid the groundwork for modern computing, influencing various sectors from academia to enterprise solutions. Even after its acquisition by Oracle in 2010, the legacy of Sun Microsystems continues to be felt across the computing industry.