📜  网格计算和效用计算之间的区别

📅  最后修改于: 2021-08-24 05:04:17             🧑  作者: Mango

1.网格计算
顾名思义,网格计算是一种计算类型,它结合了来自各个管理域的资源以实现共同的目标。其主要目标是虚拟化资源以简单地解决问题或问题,并将网络中多台计算机的资源同时应用于单个问题以解决技术或科学问题。

2.效用计算:
顾名思义,效用计算是一种为客户提供服务和计算资源的计算类型。基本上,这是一种按需提供给用户并针对特定用途向用户收费的功能。它类似于云计算,因此需要类似云的基础架构。

网格计算和效用计算之间的区别:

Grid Computing  

Utility Computing  

It is a process architecture that combines different computing resources from multiple locations to achieve desired and common goal.  It is process architecture that provide on-demand computing resources and infrastructure on basis of pay per use method.  
It distributes workload across multiple systems and allow computers to contribute their individual resources to common goal.   It allows organization to allocate and segregate computing resources and infrastructure to various users on basis of their requirements. 
It makes better use of existing resources, address rapid fluctuations in customer demands, improve computational capabilities, provide flexibility, etc. It simply reduces IT costs, easier to manage, provide greater flexibility, compatibility, provide more convenience, etc.  
It mainly focuses on sharing computing resources. It mainly focuses on acquiring computing resources.  
It is of three types i.e., computational grid, data grid, and collaborative grid.   It is of two type i.e., Internal and external utility. 
It is used in ATMs, back-end infrastructures, marketing research, etc.   It is used in large organizations such as Amazon, Google, etc., where they establish their own utility services for computing storage and applications. 
Its main purpose is to integrate usage of computer resources from cooperating partners in form of VO (Virtual Organizations).   Its main purpose is to make computing resources and infrastructure management available to customer as per their need, and charge them for specific usage rather than flat rate.  
Its characteristics include resource coordination, transparent access, dependable access, etc. Its characteristics include scalability, demand pricing, standardized utility computing services, automation, etc.