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首页> 外文期刊>International Journal of Engineering & Technology >Cloud hosting services and resources utilizing efficient proxy server based speculative algorithm
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Cloud hosting services and resources utilizing efficient proxy server based speculative algorithm

机译：利用基于高效代理服务器的推测算法的云托管服务和资源

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Cloud computing is an envisioned technique for service providing paradigm. Currently, many enterprises and organizations are hosting data into cloud service provider to minimize the maintenance cost, energy consumption and improve the data consistency. However, the several cloud servers facing the various hosting service policies, clients may be confused with which cloud server providers are appropriate for storing data and which hosting methodology is inexpensive. The current status quo is clients frequently put data into the single cloud and simply trust to luck. In the paper, proposes a new data hosting redundancy methodology called as Efficient Proxy Server Based Speculative (EPSBS) algorithm that provides accessibility guarantee, reducing hosting service, energy consumption and enhances Quality of Services (QoS) performance concurrently and it requires integrating two key functions. The first function is choosing numerous appropriate cloud service providers and a suitable EPSBS redundancy methodology to store data with guaranteed accessibility. The second key function is triggering a transmission process to reallocate data along with the deviations of data access prototype of clouds. Based on Experimental evaluations, proposed methodology reduces 0.11 ET (Execution Time), and 0.02 EC (Energy Consumption) and improves 29% HS (Hosting Service size), 2.8 T (Throughput) compared than existing methodologies.
机译：云计算是一种用于服务提供范例的预想技术。当前，许多企业和组织正在将数据托管到云服务提供商中，以最大程度地降低维护成本，能耗和提高数据一致性。但是，面对多个托管服务策略的几个云服务器，客户端可能会与哪些云服务器提供商适合用于存储数据以及哪种托管方法便宜而感到困惑。当前的现状是，客户经常将数据放到单个云中，而只是靠运气。在本文中，提出了一种新的数据托管冗余方法，称为基于有效代理服务器的推测（EPSBS）算法，该算法可提供可访问性保证，减少托管服务，能耗并同时提高服务质量（QoS）性能，并且需要集成两个关键功能。第一项功能是选择众多合适的云服务提供商和合适的EPSBS冗余方法来存储具有保证可访问性的数据。第二个关键功能是触发传输过程，以重新分配数据以及云数据访问原型的偏差。根据实验评估，与现有方法相比，拟议的方法可减少0.11 ET（执行时间）和0.02 EC（能源消耗），并提高29％的HS（托管服务规模）和2.8 T（吞吐量）。

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