When is there a CPU or Main Memory Bottleneck?

本文探讨了系统性能优化的关键指标,包括闲置CPU容量、页面速率以及硬件瓶颈的常见原因。针对不同类型的计算机配置,提供了内存与虚拟内存比例的指导原则,并详细解析了识别系统中关键进程的方法。
The unused CPU capacity (idle) should normally average at least 20% per hour. This enables the system to accommodate temporary workload peaks. A reading of 35% idle CPU capacity is even better. For the paging rate, the following guideline values apply:


->For computers that contain a database, an SAP J2EE Engine, or TREX, only very minor paging rates should occur; that is, they should be dimensioned in such a way that the available main memory corresponds to the configured memory areas.


->For computers that only include ABAP instances, you can tolerate moderate paging rates of up to 20% of the physical main memory per hour.


For instance,Main memory bottleneck, As a rule of thumb, there should be approximately 50% more virtual memory than physical memory.


Causes of Hardware Bottlenecks

->Incorrect load distribution (It is extremely important that the database server has enough resources.)


->CPU load of individual programs (In the operating system monitor (Transaction ST06), select the analysis SNAPSHOT • TOP CPU PROCESSES.)

* You can identify the following processes:

--> dw_<instance>:SAP work process of the ABAP Server on a UNIX operating system. On Windows operating systems, the name is “disp+work.”

-->jstart ...                :Server process of SAP Java instance.

-->TREX ...               :TREX process. The server type is indicated in the process name, for instance, index server, preprocessor, and so on.

-->icman ...              :Process of the Internet Communication Manager (ICM).

-->saposcol ...         :Auxiliary program, which collects the data for the operating system monitor





### Identifying and Preventing Memory Leaks in Software Development Memory leaks are a common issue in software development, particularly in applications that manage memory manually. A memory leak occurs when a program allocates memory and fails to release it after it is no longer needed. Over time, this can lead to excessive memory consumption, degraded performance, or even application crashes. Detecting and preventing memory leaks is crucial for maintaining application stability and efficiency. #### Identifying Memory Leaks To identify memory leaks, developers can use a combination of tools and techniques: - **Profiling Tools**: Tools like Valgrind for C/C++, VisualVM for Java, or Instruments for macOS and iOS can track memory allocations and detect memory leaks. These tools provide detailed reports on memory usage over time and can pinpoint areas where memory is not being properly released. - **Logging and Debugging**: By logging memory allocation and deallocation events, developers can manually inspect logs to identify discrepancies. Setting breakpoints in a debugger can also help track down where memory is being allocated without being freed. - **Unit Testing**: Writing unit tests that monitor memory usage can help detect memory leaks in specific functions or modules. For example, running a function repeatedly and observing if memory usage increases linearly can indicate a memory leak. - **Code Reviews**: Regular code reviews can help catch memory management issues early. Reviewers should look for patterns such as missing `free()` calls in C, unbalanced `retain`/`release` in Objective-C, or failure to close resources in languages like Java. #### Preventing Memory Leaks Preventing memory leaks involves adopting best practices and using modern programming techniques: - **Use Smart Pointers (C++)**: In C++, smart pointers like `std::unique_ptr` and `std::shared_ptr` automatically manage memory, reducing the risk of leaks. These pointers ensure that memory is released when it is no longer referenced. - **Garbage Collection (Java, .NET)**: Languages with built-in garbage collection, such as Java and C#, reduce the burden of manual memory management. However, developers should still be cautious with object lifetimes and avoid unintentional object retention, such as holding references in static collections. - **Resource Management Patterns**: Use patterns like RAII (Resource Acquisition Is Initialization) in C++ or try-with-resources in Java to ensure that resources are properly released when they are no longer needed. - **Avoid Circular References**: In environments with reference counting (e.g., Objective-C, Python), circular references can prevent objects from being deallocated. Using weak references can help break these cycles. - **Use Memory-Safe Languages**: Consider using memory-safe languages like Rust, which enforce memory safety at compile time without relying on a garbage collector. #### Example: Detecting a Memory Leak in C ```c #include <stdlib.h> #include <stdio.h> void leak_memory() { char *buffer = (char *)malloc(100); // Forgot to free the buffer } int main() { while (1) { leak_memory(); sleep(1); // Simulate ongoing process } return 0; } ``` In this example, the `leak_memory` function allocates memory but never frees it. Over time, this will cause the program's memory usage to grow indefinitely. Tools like Valgrind can detect this leak and report the source. #### Example: Using Smart Pointers in C++ ```cpp #include <memory> #include <iostream> void safe_memory() { std::unique_ptr<int> ptr(new int(42)); std::cout << *ptr << std::endl; // Memory is automatically freed when ptr goes out of scope } int main() { safe_memory(); return 0; } ``` Here, `std::unique_ptr` ensures that the allocated memory is automatically released when the pointer goes out of scope, preventing a memory leak. #### Example: Using Try-With-Resources in Java ```java import java.io.*; public class ResourceExample { public static void main(String[] args) { try (BufferedReader br = new BufferedReader(new FileReader("file.txt"))) { String line; while ((line = br.readLine()) != null) { System.out.println(line); } } catch (IOException e) { e.printStackTrace(); } } } ``` In this Java example, the `BufferedReader` is declared within a try-with-resources statement, ensuring that it is closed automatically at the end of the block. ###
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