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首页> 外文期刊>International Journal of Computer Trends and Technology >Design and Implementation of Cache in the Cloud for Cashing
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Design and Implementation of Cache in the Cloud for Cashing

机译:云端兑现缓存的设计与实现

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From the past several years cloud computing technology getting boom in the current world, most of the organization using cloud computing service for storing and processing their data. In Cloud computing there are number of distributed database connected through a common channel and cloud manager take look on it. In a simple web architecture, a client or user making his request to server for specific content. Responsibility of server is that ,server have to take his request and process this request for generating the response content. On server for each client ,it have to process all request and respond the content every time either content is same for many time. It is overhead on server to provide same content number of time. Solution of this problem is cache. From several year cache becoming a vital technology for improving the performance of service. Quality of service is one of the major concern in any application. Caching technique is better way to improve the QoS. Here we proposing a Cache server system with association with clouds. A cache server is a computer or network device that has been setup to store web pages that have been accessed by users on the network. If any user was trying to access the web page that has already been stored on the cache server will be sent the stored version instead of downloading the related web page again individually. This mainly helps to reduce network traffic and Internet traffic congestion as well as saves the company on bandwidth costs. Implementation of cache in cloud for cashing in place of typical service is more beneficial for both user and service provider. We will check the feasibility of Cache service on elastic system and also check it for practical use.We will show here that using this service help us to leverage the cloud economy greatly in that extra user cost for input output performance gain is minimal if ever exits and also the provider’s profit will increase due to server consolidation resulting from that performance gain. Here the same cache technology is we are going to implement at server side and here the request for a particular file is given to server then it fetches the data from database server and if the request is given for same data again then we say that it is time consuming process to fetch again the same resource and here in this place we are introducing the concept of cache and it can improves the performance of server and automatically the burden on server will reduce and we are offering this as a cloud service that is Cache as a service(Caas).
机译:在过去的几年中,云计算技术在当今世界蓬勃发展,大多数组织都使用云计算服务来存储和处理其数据。在云计算中,有许多通过公共通道连接的分布式数据库,云管理器对此进行了研究。在简单的Web体系结构中,客户端或用户向服务器请求特定内容。服务器的责任是服务器必须接受他的请求并处理该请求以生成响应内容。在服务器上,对于每个客户端,每次内容相同很多次时,它都必须处理所有请求并响应内容。提供相同内容次数的时间在服务器上是开销。解决此问题的方法是缓存。从几年开始,缓存已成为提高服务性能的一项至关重要的技术。服务质量是任何应用程序中的主要关注之一。缓存技术是改善QoS的更好方法。在这里,我们提出了一个与云关联的缓存服务器系统。高速缓存服务器是已设置为存储网络上用户已访问的网页的计算机或网络设备。如果有任何用户试图访问已存储在缓存服务器上的网页,则将发送已存储的版本,而不是再次单独下载相关的网页。这主要有助于减少网络流量和Internet流量拥塞,并节省公司的带宽成本。在云中实现用于代替典型服务的现金的缓存对用户和服务提供商都更为有利。我们将检查弹性系统上Cache服务的可行性,并检查其实际使用情况。此处将显示使用此服务可帮助我们极大地利用云经济,因为即使退出,输入输出性能收益的额外用户成本也将降至最低而且由于性能提升而导致的服务器整合,提供商的利润也将增加。在这里,我们将在服务器端实现相同的缓存技术,这里将对特定文件的请求发送给服务器,然后它从数据库服务器获取数据,如果再次请求对相同数据的请求,则说是耗时的过程来再次获取相同的资源,在这里我们引入了缓存的概念,它可以提高服务器的性能,并自动减轻服务器的负担,我们将其作为云服务提供,即Cache as服务(Caas)。

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