在多跳密集网络中的拓意识可扩展的资源管理
David Carrascal1, Elisa Rojas1, Juan A Carral1
1Universidad de Alcalá, 28801 Alcala de Henares, Spain.
Heliyon
|September 23, 2024
概括
一个新的算法,DEN2NE,在复杂的,相互连接的网络中有效地分配资源. 它适应各种场景,为分布式环境提供有希望的结果,具有快速,可扩展的性能.
科学领域:
- 计算机科学 计算机科学
- 网络工程 网络工程
- 分布式系统 分布式系统
背景情况:
- 现代社会越来越多地相互连接的通信,物流和资源分配网络.
- 靠近终端用户的网络通常很复杂,异质节点需求或动态供应资源.
研究的目的:
- 引入DEN2NE,这是一个用于分布式环境中自动分配和重新分配资源的新算法.
- 在密集,异质网络场景中应对资源管理的挑战.
主要方法:
- 开发用于资源分配的DEN2NE算法.
- 采用六个不同的适应性标准进行实施.
- 基于适应性和执行时间的性能评估.
主要成果:
- DEN2NE显示出有希望的适应性,适应特定的用例.
- 算法显示了一个平均执行时间,该算法与网络拓大小线性缩放.
- 在模拟分布式环境中成功实现资源的自动分配和重新分配.
结论:
- 在相互连接的网络中,DEN2NE提供了有效的资源管理解决方案.
- 该算法的线性可扩展性和适应性使其适用于动态分布式系统.
- 未来的工作可能涉及进一步的优化和现实世界的部署测试.
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