分析与云资源相关的绿色计算:一个案例研究

Suman Sourav Prasad, Jyotirmaya Mishra, S. Mishra
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引用次数: 0

摘要

在许多情况下,数据可能是与使用人工智能获得解决方案的推理相关的主要关注点之一。因此,处理精确的近似数据以及隐私和安全无疑具有重要意义。在这种情况下,绿色信息技术的实施可能会考虑到对商业、社会和环境部门的影响,以防止数据选择偏差以及数据汇总中的歧视。从广义上讲,绿色信息技术通常侧重于能源消耗以及硬件和软件的提取。特别是为了提高与硬件和数据中心相关的效率,可能必须考虑整合数据服务器并消除浪费。因此,在这种情况下,绿色计算可能更有利于提高效率,有利于环境和重复使用和再循环。随着数据的大量增加,数据中心的规模和数量也在增加;有时也可能是由于Internet通信、应用程序和灾难恢复的快速采用。在这种情况下,数据中心的能源消耗几乎占数据中心运营成本的50%,给周围环境造成了巨大的压力。在这种情况下,云数据中心可以与人工智能的应用以及感知和决策一起解决这个问题。在本文中,考虑到数据中心使用率最大的原因,可以考虑与绿色云数据中心相关的绿色计算,以适当地重新安排与不同资源相关的任务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analyzing Green Computation Linked to Cloud Resources: A Case Study
In many cases, data may be one of the primary concerns associated with reasoning towards obtaining solutions using artificial intelligence. Accordingly handling the exact approximation data along with privacy and security is definitely linked with major importance. In such cases, implementation of green information technology may be thought of considering the impact in the business, social and environmental sectors to prevent data selection bias along with discrimination in data aggregation. In broad sense, the green information technology usually focuses towards consumption of energy along with extractions from hardware as well as software. Specifically towards enhancing the efficiency linked to hardware and data centers, it may have to be thought of consolidating data servers and eradicating the wastages. Accordingly, the green computing may be more beneficial in such situations to improve the efficiency in favour of environment and towards reuse and recycling. As per massive increase of data the size and number of data centers are also increased; sometimes it may be also due to quick adoption of Internet communications, application along with disaster recovery. The energy consumption towards data centers in such case is almost fifty percent of operating costs of data centers and creates massive pressure on the surrounding. In such cases, the cloud data centers may be thought of to resolve this issue along with the application of artificial intelligence as well as perceiving and decision making. In this paper, considering the causes of maximum usages of data centers, green computing linked to green cloud data center may be thought of towards proper reschedule of tasks linked to different resources.
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