{"title":"Analyzing Green Computation Linked to Cloud Resources: A Case Study","authors":"Suman Sourav Prasad, Jyotirmaya Mishra, S. Mishra","doi":"10.2139/ssrn.3542707","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":404477,"journal":{"name":"Mechanical Engineering eJournal","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mechanical Engineering eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3542707","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.