Energy generation and consumption are the main aspects of social life due to the fact that modern people’s necessity for energy is a crucial ingredient for existence. Therefore, energy efficiency is regarded as the b...Energy generation and consumption are the main aspects of social life due to the fact that modern people’s necessity for energy is a crucial ingredient for existence. Therefore, energy efficiency is regarded as the best economical approach to provide safer and affordable energy for both utilities and consumers, through the enhancement of energy security and reduction of energy emissions. One of the problems of cloud computing service providers is the high rise in the cost of energy, efficiency together with carbon emission with regards to the running of their internet data centres (IDCs). In order to mitigate these issues, smart micro-grid was found to be suitable in increasing the energy efficiency, sustainability together with the reliability of electrical services for the IDCs. Therefore, this paper presents idea on how smart micro-grids can bring down the disturbing cost of energy, carbon emission by the IDCs with some level of energy efficiency all in an effort to attain green cloud computing services from the service providers. In specific term, we aim at achieving green information and communication technology (ICT) in the field of cloud computing in relations to energy efficiency, cost-effectiveness and carbon emission reduction from cloud data center’s perspective.展开更多
互联网数据中心(Internet Data Center,IDC)网络系统在目前的各个行业领域中出现频率已经逐渐升高,业界对于该网络系统的安全特性关注度也相对较高。IDC网络安全问题繁多,对于整个行业的快速发展是一种阻碍。基于此,文章介绍IDC网络及...互联网数据中心(Internet Data Center,IDC)网络系统在目前的各个行业领域中出现频率已经逐渐升高,业界对于该网络系统的安全特性关注度也相对较高。IDC网络安全问题繁多,对于整个行业的快速发展是一种阻碍。基于此,文章介绍IDC网络及其安全特性表现,分析其所存在的安全问题,并研究相应处理技术,证明IDC网络系统安全问题处理与防护优化的重要价值。展开更多
针对互联网数据中心(Internet Data Center,IDC)云计算基本内容、应用优势展开分析,探讨IDC云计算在计算资源调度、数据存储和处理、软件开发环节以及网络优化服务中的应用要点。通过分析IDC云计算在通信领域中的安全风险,提出IDC云计...针对互联网数据中心(Internet Data Center,IDC)云计算基本内容、应用优势展开分析,探讨IDC云计算在计算资源调度、数据存储和处理、软件开发环节以及网络优化服务中的应用要点。通过分析IDC云计算在通信领域中的安全风险,提出IDC云计算在通信领域资源层、应用层、平台层以及访问层的安全风险应对措施,以确保通信网络环境的稳定性与安全性。展开更多
在现代社会中,电力供应对于人们的生活和工作起着至关重要的作用。然而供电系统可能面临各种挑战,如电力故障、设备故障和自然灾害等,这些都可能导致供电中断,给人们的生活和工作带来不便甚至危险。为提高互联网数据中心(Internet Data ...在现代社会中,电力供应对于人们的生活和工作起着至关重要的作用。然而供电系统可能面临各种挑战,如电力故障、设备故障和自然灾害等,这些都可能导致供电中断,给人们的生活和工作带来不便甚至危险。为提高互联网数据中心(Internet Data Center,IDC)机房供电系统的可靠性和可用性,分析了供电系统可靠性,提出供电系统中不间断电源(Uninterruptible Power Supply,UPS)选择的原则,阐述了提高供电可靠性与可用性的途径,以期为相关人员提供参考。展开更多
IP的语音传输(Voice over Internet Protocol,VoIP)技术是一种基于网络的语音技术,它可以将语音信号转换成数据流,并在互联网上传输。VoIP技术与Call Center的融合使用户在通话时能更加方便、快捷地使用互联网,节省时间和费用,实现语音...IP的语音传输(Voice over Internet Protocol,VoIP)技术是一种基于网络的语音技术,它可以将语音信号转换成数据流,并在互联网上传输。VoIP技术与Call Center的融合使用户在通话时能更加方便、快捷地使用互联网,节省时间和费用,实现语音信号与数据流的同时传输,提高通话质量和效率。同时,技术融合可以解决传统呼叫中心面临的一些挑战,如服务质量下降、成本上升等问题。展开更多
随着互联网数据中心IDC的快速发展,为其配备的不间断电源系统UPS规模越来越大,由于UPS的电池系统只有在少数的停电时段应用,造成了大量的资源闲置。在保证备电的前提下,充分挖掘UPS中电池系统的储能功能,是一种经济高效的储能形式。在常...随着互联网数据中心IDC的快速发展,为其配备的不间断电源系统UPS规模越来越大,由于UPS的电池系统只有在少数的停电时段应用,造成了大量的资源闲置。在保证备电的前提下,充分挖掘UPS中电池系统的储能功能,是一种经济高效的储能形式。在常规UPS的基础上,提出了储能型不间断电源系统(energy storage type of UPS,EUPS)的实现架构,EUPS多种“备电+储能”应用功能的控制策略,以及EUPS参与电网多场景调节的协调控制策略。最后,基于建成的EUPS示范系统,验证了所提的EUPS系统架构和控制策略的有效性。展开更多
Cloud computing has become increasingly popular due to its capacity to perform computations without relying on physical infrastructure,thereby revolutionizing computer processes.However,the rising energy consumption i...Cloud computing has become increasingly popular due to its capacity to perform computations without relying on physical infrastructure,thereby revolutionizing computer processes.However,the rising energy consumption in cloud centers poses a significant challenge,especially with the escalating energy costs.This paper tackles this issue by introducing efficient solutions for data placement and node management,with a clear emphasis on the crucial role of the Internet of Things(IoT)throughout the research process.The IoT assumes a pivotal role in this study by actively collecting real-time data from various sensors strategically positioned in and around data centers.These sensors continuously monitor vital parameters such as energy usage and temperature,thereby providing a comprehensive dataset for analysis.The data generated by the IoT is seamlessly integrated into the Hybrid TCN-GRU-NBeat(NGT)model,enabling a dynamic and accurate representation of the current state of the data center environment.Through the incorporation of the Seagull Optimization Algorithm(SOA),the NGT model optimizes storage migration strategies based on the latest information provided by IoT sensors.The model is trained using 80%of the available dataset and subsequently tested on the remaining 20%.The results demonstrate the effectiveness of the proposed approach,with a Mean Squared Error(MSE)of 5.33%and a Mean Absolute Error(MAE)of 2.83%,accurately estimating power prices and leading to an average reduction of 23.88%in power costs.Furthermore,the integration of IoT data significantly enhances the accuracy of the NGT model,outperforming benchmark algorithms such as DenseNet,Support Vector Machine(SVM),Decision Trees,and AlexNet.The NGT model achieves an impressive accuracy rate of 97.9%,surpassing the rates of 87%,83%,80%,and 79%,respectively,for the benchmark algorithms.These findings underscore the effectiveness of the proposed method in optimizing energy efficiency and enhancing the predictive capabilities of cloud computing systems.The IoT plays a critical role in driving these advancements by providing real-time data insights into the operational aspects of data centers.展开更多
文摘Energy generation and consumption are the main aspects of social life due to the fact that modern people’s necessity for energy is a crucial ingredient for existence. Therefore, energy efficiency is regarded as the best economical approach to provide safer and affordable energy for both utilities and consumers, through the enhancement of energy security and reduction of energy emissions. One of the problems of cloud computing service providers is the high rise in the cost of energy, efficiency together with carbon emission with regards to the running of their internet data centres (IDCs). In order to mitigate these issues, smart micro-grid was found to be suitable in increasing the energy efficiency, sustainability together with the reliability of electrical services for the IDCs. Therefore, this paper presents idea on how smart micro-grids can bring down the disturbing cost of energy, carbon emission by the IDCs with some level of energy efficiency all in an effort to attain green cloud computing services from the service providers. In specific term, we aim at achieving green information and communication technology (ICT) in the field of cloud computing in relations to energy efficiency, cost-effectiveness and carbon emission reduction from cloud data center’s perspective.
文摘互联网数据中心(Internet Data Center,IDC)网络系统在目前的各个行业领域中出现频率已经逐渐升高,业界对于该网络系统的安全特性关注度也相对较高。IDC网络安全问题繁多,对于整个行业的快速发展是一种阻碍。基于此,文章介绍IDC网络及其安全特性表现,分析其所存在的安全问题,并研究相应处理技术,证明IDC网络系统安全问题处理与防护优化的重要价值。
文摘针对互联网数据中心(Internet Data Center,IDC)云计算基本内容、应用优势展开分析,探讨IDC云计算在计算资源调度、数据存储和处理、软件开发环节以及网络优化服务中的应用要点。通过分析IDC云计算在通信领域中的安全风险,提出IDC云计算在通信领域资源层、应用层、平台层以及访问层的安全风险应对措施,以确保通信网络环境的稳定性与安全性。
文摘在现代社会中,电力供应对于人们的生活和工作起着至关重要的作用。然而供电系统可能面临各种挑战,如电力故障、设备故障和自然灾害等,这些都可能导致供电中断,给人们的生活和工作带来不便甚至危险。为提高互联网数据中心(Internet Data Center,IDC)机房供电系统的可靠性和可用性,分析了供电系统可靠性,提出供电系统中不间断电源(Uninterruptible Power Supply,UPS)选择的原则,阐述了提高供电可靠性与可用性的途径,以期为相关人员提供参考。
文摘IP的语音传输(Voice over Internet Protocol,VoIP)技术是一种基于网络的语音技术,它可以将语音信号转换成数据流,并在互联网上传输。VoIP技术与Call Center的融合使用户在通话时能更加方便、快捷地使用互联网,节省时间和费用,实现语音信号与数据流的同时传输,提高通话质量和效率。同时,技术融合可以解决传统呼叫中心面临的一些挑战,如服务质量下降、成本上升等问题。
文摘随着互联网数据中心IDC的快速发展,为其配备的不间断电源系统UPS规模越来越大,由于UPS的电池系统只有在少数的停电时段应用,造成了大量的资源闲置。在保证备电的前提下,充分挖掘UPS中电池系统的储能功能,是一种经济高效的储能形式。在常规UPS的基础上,提出了储能型不间断电源系统(energy storage type of UPS,EUPS)的实现架构,EUPS多种“备电+储能”应用功能的控制策略,以及EUPS参与电网多场景调节的协调控制策略。最后,基于建成的EUPS示范系统,验证了所提的EUPS系统架构和控制策略的有效性。
基金The authors extend their appreciation to Prince Sattam bin Abdulaziz University for funding this research work through the Project Number(PSAU/2023/01/27268).
文摘Cloud computing has become increasingly popular due to its capacity to perform computations without relying on physical infrastructure,thereby revolutionizing computer processes.However,the rising energy consumption in cloud centers poses a significant challenge,especially with the escalating energy costs.This paper tackles this issue by introducing efficient solutions for data placement and node management,with a clear emphasis on the crucial role of the Internet of Things(IoT)throughout the research process.The IoT assumes a pivotal role in this study by actively collecting real-time data from various sensors strategically positioned in and around data centers.These sensors continuously monitor vital parameters such as energy usage and temperature,thereby providing a comprehensive dataset for analysis.The data generated by the IoT is seamlessly integrated into the Hybrid TCN-GRU-NBeat(NGT)model,enabling a dynamic and accurate representation of the current state of the data center environment.Through the incorporation of the Seagull Optimization Algorithm(SOA),the NGT model optimizes storage migration strategies based on the latest information provided by IoT sensors.The model is trained using 80%of the available dataset and subsequently tested on the remaining 20%.The results demonstrate the effectiveness of the proposed approach,with a Mean Squared Error(MSE)of 5.33%and a Mean Absolute Error(MAE)of 2.83%,accurately estimating power prices and leading to an average reduction of 23.88%in power costs.Furthermore,the integration of IoT data significantly enhances the accuracy of the NGT model,outperforming benchmark algorithms such as DenseNet,Support Vector Machine(SVM),Decision Trees,and AlexNet.The NGT model achieves an impressive accuracy rate of 97.9%,surpassing the rates of 87%,83%,80%,and 79%,respectively,for the benchmark algorithms.These findings underscore the effectiveness of the proposed method in optimizing energy efficiency and enhancing the predictive capabilities of cloud computing systems.The IoT plays a critical role in driving these advancements by providing real-time data insights into the operational aspects of data centers.
