并行与分布式计算中的负载均衡策略研究 -计算机科学与技术专业

摘要

并行与分布式计算系统在现代高性能计算、云计算和大数据处理等领域发挥着至关重要的作用，然而负载不均衡问题严重影响系统的性能和资源利用率。为解决该问题，本文深入研究了并行与分布式计算环境下的负载均衡策略。研究分析了现有负载均衡策略的优缺点，包括静态和动态负载均衡算法，并针对其不足之处进行改进。提出了一种融合预测机制与自适应调整的混合负载均衡策略，该策略能够根据任务特征和系统状态提前预测负载变化趋势，并实时调整任务分配方案。该策略还具备较强的鲁棒性和可扩展性，能够在不同规模和类型的并行与分布式计算环境中稳定运行，为相关领域的研究提供了新的思路和方法，对优化并行与分布式计算系统的负载均衡具有重要意义。

关键词：负载均衡策略并行与分布式计算混合负载均衡预测机制

Abstract

Parallel and distributed computing systems play an important role in modern high performance computing, cloud computing and big data processing, but load imbalance seriously affects system performance and resource utilization. In order to solve this problem, this paper deeply studies the load balancing strategy in parallel and distributed computing environment. This paper analyzes the advantages and disadvantages of the existing load balancing strategies, including static and dynamic load balancing algorithms, and improves them according to their shortcomings. A hybrid load balancing strategy combining prediction mechanism and adaptive adjustment is proposed, which can predict the load trend in advance according to the task characteristics and system state, and adjust the task allocation scheme in real time. This strategy also has strong robustness and scalability, and can run stably in parallel and distributed computing environments of different scales and types. It provides new ideas and methods for research in related fields, and is of great significance for optimizing the load balancing of parallel and distributed computing systems.

Keyword:Load Balancing Strategy Parallel And Distributed Computing Hybrid Load Balancing Prediction Mechanism

1绪论 1

1.1研究背景与意义 1

1.2国内外研究现状 1

2负载均衡的基本理论 1

2.1并行计算中的负载特性 2

2.2分布式系统的资源管理 2

2.3常见负载均衡算法分析 3

3动态负载均衡策略 3

3.1动态任务分配机制 4

3.2自适应调整算法 4

3.3性能评估与优化 5