基于模糊理论的高性能计算资源预留系统的编排:计算世界的生命线

Ashish Tiwari, R. Garg
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引用次数: 11

摘要

在计算机世界,每个公司都在关注提前预订系统。在前期的预订中,价格、服务质量、时间等一切都在适当的间隔上为用户进行维护和保留。ORRS是朝着这一全球愿景迈出的一步,它被专门设计成一种灵活的预订方式,根据用户的需求和价格(如传统的即时预订(TIR)请求和ORRS预订)支持多种服务。因此,以有效的方式保留计算服务和服务的成本既重要又具有挑战性。在ORRS预约系统中,模糊粗糙集特征选择减少了计算世界中大型数据库的维数结构和问题。基于按需、预留、现货等决策的成本维护领域的研究正在飞速发展,以提高资源的利用率和利润。在我们的研究工作中,利用云模拟器进行了实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Orrs Orchestration of a Resource Reservation System Using Fuzzy Theory in High-Performance Computing: Lifeline of the Computing World
In the computing world, every company is focusing on the early reservation system. In the early reservation the price, quality of service, time, and everything is maintained and reserved for the user on the due interval. ORRS is a step toward this global vision and specifically designed to act as a flexible reservation supporting multiple services according to user's need and pricing (such as traditional immediate reservation (TIR) request and ORRS reservation. Thus, it is both important and challenging to reserve computing services and the cost of the services in an efficient manner. In the ORRS reservation system, the fuzzy rough set feature selection decreases the dimensional structure and problems of a large database in the computing world. The researcher is now going at a rapid speed in the field of maintaining cost based on decision making like on-demand, reserved, the spot to increase resources utilization and profit. The implementation had done in our research work by the use of cloud simulator.
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