This article explores the evolution of cloud computing, its advantages over traditional on-premises infrastructure, and its impact on information security. The study presents a comprehensive literature review covering...This article explores the evolution of cloud computing, its advantages over traditional on-premises infrastructure, and its impact on information security. The study presents a comprehensive literature review covering various cloud infrastructure offerings and security models. Additionally, it deeply analyzes real-life case studies illustrating successful cloud migrations and highlights common information security threats in current cloud computing. The article concludes by offering recommendations to businesses to protect themselves from cloud data breaches and providing insights into selecting a suitable cloud services provider from an information security perspective.展开更多
How to effectively use the multi-energy demand elasticity of users to bid in the multi-energy market and formulate multi-energy retail packages is an urgent problem which needs to be solved by integrated energy servic...How to effectively use the multi-energy demand elasticity of users to bid in the multi-energy market and formulate multi-energy retail packages is an urgent problem which needs to be solved by integrated energy service providers(IESPs)to attract more users and reduce operating costs.This paper presents a unified clearing of electricity and natural gas based on a bi-level bidding and multi-energy retail price formulation method for IESPs considering multi-energy demand elasticity.First,we propose an operating structure of IESPs in the wholesale and retail energy markets.The multi-energy demand elasticity model of retail-side users and a retail price model for electricity,gas,heat and cooling are established.Secondly,a bi-level bidding model for IESPs considering multi-energy demand elasticity is established to provide IESPs with wholesale-side bidding decisions and retail-side energy retail price decisions.Finally,an example is given to verify the proposed method.The results show that the method improves the total social welfare of the electricity and natural gas markets by 7.99%and the profit of IESPs by 1.40%.It can reduce the variance of the electricity,gas,and cooling load curves,especially the reduction of the variance of the electricity load curve can which reach 79.90%.It can be seen that the research in this paper has a positive effect on repairing the limitations of integrated energy trading research and improving the economics of the operation of IESPs.展开更多
Cloud computing is becoming popular technology due to its functional properties and variety of customer-oriented services over the Internet.The design of reliable and high-quality cloud applications requires a strong ...Cloud computing is becoming popular technology due to its functional properties and variety of customer-oriented services over the Internet.The design of reliable and high-quality cloud applications requires a strong Quality of Service QoS parameter metric.In a hyperconverged cloud ecosystem environment,building high-reliability cloud applications is a challenging job.The selection of cloud services is based on the QoS parameters that play essential roles in optimizing and improving cloud rankings.The emergence of cloud computing is significantly reshaping the digital ecosystem,and the numerous services offered by cloud service providers are playing a vital role in this transformation.Hyperconverged software-based unified utilities combine storage virtualization,compute virtualization,and network virtualization.The availability of the latter has also raised the demand for QoS.Due to the diversity of services,the respective quality parameters are also in abundance and need a carefully designed mechanism to compare and identify the critical,common,and impactful parameters.It is also necessary to reconsider the market needs in terms of service requirements and the QoS provided by various CSPs.This research provides a machine learning-based mechanism to monitor the QoS in a hyperconverged environment with three core service parameters:service quality,downtime of servers,and outage of cloud services.展开更多
Peer feedback is a widely utilized practice in writing classrooms for second languages(L2)that has drawn a lot of attention.While some support the practice because of the clear advantages that peer feedback offers stu...Peer feedback is a widely utilized practice in writing classrooms for second languages(L2)that has drawn a lot of attention.While some support the practice because of the clear advantages that peer feedback offers students,others doubt its efficacy.Comparing various forms of feedback is therefore necessary,as is determining the effects that peer feedback has on students and the variables that might affect how successful peer feedback is.This paper focuses on the usefulness of peer feedback for L2 writing,based on a review of studies on the subject.The findings imply that the functions of peer and teacher feedback are distinct,and that peer feedback is advantageous to both parties,particularly to the supplier.The attitudes and cultural backgrounds of the students are among the other factors that affect how effective peer feedback is.Lastly,some implications for future research and education are presented.展开更多
1 Introduction The network virtualization has attached lots of attention from researchers. Most of the prior studies aim at designing embedding solutions for the VN requests to maximize the revenue for infrastructure ...1 Introduction The network virtualization has attached lots of attention from researchers. Most of the prior studies aim at designing embedding solutions for the VN requests to maximize the revenue for infrastructure providers (InPs) while rarely focusing on the energy costs, which is a vital component. Several proposed energy saving methods focus on the energy optimization when the VN requests arrive. However, since the VN requests arrive and depart dynamically and therefore the resource of physical network changes, this optimization needs to be re-optimized. Figure 1 illustrates this context.展开更多
Patients with cardiovascular disease and their partners expect health care providers to provide sexual counseling to assist them in maintaining sexual quality of life. Evidence suggests however, that there is a gap in...Patients with cardiovascular disease and their partners expect health care providers to provide sexual counseling to assist them in maintaining sexual quality of life. Evidence suggests however, that there is a gap in integrating evidence into practice and that relatively few cardiac patients receive sexual counseling. This can result in negative psychological, physical, and quality of life outcomes for couples who may needlessly decide sexual activity is too risky and cease all sexual activity. Two scientific statements now exist that provide ample guidance to health care providers in discussing this important topic. Using a team approach that includes physicians, nurses, physical therapists, rehabilitation staff, and others is important to ensure that sexual counseling occurs throughout recovery. In addition, several trials using interventional approaches for sexual counseling provide insight into successful approaches for sexual counseling in practice. This article provides practical strategies and evidence-based approaches for assessment and sexual counseling for all cardiac patients and their partners, and specific counseling for those with ischemic conditions, heart failure, and implanted devices.展开更多
文摘This article explores the evolution of cloud computing, its advantages over traditional on-premises infrastructure, and its impact on information security. The study presents a comprehensive literature review covering various cloud infrastructure offerings and security models. Additionally, it deeply analyzes real-life case studies illustrating successful cloud migrations and highlights common information security threats in current cloud computing. The article concludes by offering recommendations to businesses to protect themselves from cloud data breaches and providing insights into selecting a suitable cloud services provider from an information security perspective.
基金supported in part by the National Key R&D Program of China(2018YFB0905000)the Science and Technology Project of the State Grid Corporation of China(SGTJDK 00DWJS1800232)。
文摘How to effectively use the multi-energy demand elasticity of users to bid in the multi-energy market and formulate multi-energy retail packages is an urgent problem which needs to be solved by integrated energy service providers(IESPs)to attract more users and reduce operating costs.This paper presents a unified clearing of electricity and natural gas based on a bi-level bidding and multi-energy retail price formulation method for IESPs considering multi-energy demand elasticity.First,we propose an operating structure of IESPs in the wholesale and retail energy markets.The multi-energy demand elasticity model of retail-side users and a retail price model for electricity,gas,heat and cooling are established.Secondly,a bi-level bidding model for IESPs considering multi-energy demand elasticity is established to provide IESPs with wholesale-side bidding decisions and retail-side energy retail price decisions.Finally,an example is given to verify the proposed method.The results show that the method improves the total social welfare of the electricity and natural gas markets by 7.99%and the profit of IESPs by 1.40%.It can reduce the variance of the electricity,gas,and cooling load curves,especially the reduction of the variance of the electricity load curve can which reach 79.90%.It can be seen that the research in this paper has a positive effect on repairing the limitations of integrated energy trading research and improving the economics of the operation of IESPs.
文摘Cloud computing is becoming popular technology due to its functional properties and variety of customer-oriented services over the Internet.The design of reliable and high-quality cloud applications requires a strong Quality of Service QoS parameter metric.In a hyperconverged cloud ecosystem environment,building high-reliability cloud applications is a challenging job.The selection of cloud services is based on the QoS parameters that play essential roles in optimizing and improving cloud rankings.The emergence of cloud computing is significantly reshaping the digital ecosystem,and the numerous services offered by cloud service providers are playing a vital role in this transformation.Hyperconverged software-based unified utilities combine storage virtualization,compute virtualization,and network virtualization.The availability of the latter has also raised the demand for QoS.Due to the diversity of services,the respective quality parameters are also in abundance and need a carefully designed mechanism to compare and identify the critical,common,and impactful parameters.It is also necessary to reconsider the market needs in terms of service requirements and the QoS provided by various CSPs.This research provides a machine learning-based mechanism to monitor the QoS in a hyperconverged environment with three core service parameters:service quality,downtime of servers,and outage of cloud services.
文摘Peer feedback is a widely utilized practice in writing classrooms for second languages(L2)that has drawn a lot of attention.While some support the practice because of the clear advantages that peer feedback offers students,others doubt its efficacy.Comparing various forms of feedback is therefore necessary,as is determining the effects that peer feedback has on students and the variables that might affect how successful peer feedback is.This paper focuses on the usefulness of peer feedback for L2 writing,based on a review of studies on the subject.The findings imply that the functions of peer and teacher feedback are distinct,and that peer feedback is advantageous to both parties,particularly to the supplier.The attitudes and cultural backgrounds of the students are among the other factors that affect how effective peer feedback is.Lastly,some implications for future research and education are presented.
基金the National Natural Science Foundation of China (Grant Nos. 61602050 and U1534201).
文摘1 Introduction The network virtualization has attached lots of attention from researchers. Most of the prior studies aim at designing embedding solutions for the VN requests to maximize the revenue for infrastructure providers (InPs) while rarely focusing on the energy costs, which is a vital component. Several proposed energy saving methods focus on the energy optimization when the VN requests arrive. However, since the VN requests arrive and depart dynamically and therefore the resource of physical network changes, this optimization needs to be re-optimized. Figure 1 illustrates this context.
文摘Patients with cardiovascular disease and their partners expect health care providers to provide sexual counseling to assist them in maintaining sexual quality of life. Evidence suggests however, that there is a gap in integrating evidence into practice and that relatively few cardiac patients receive sexual counseling. This can result in negative psychological, physical, and quality of life outcomes for couples who may needlessly decide sexual activity is too risky and cease all sexual activity. Two scientific statements now exist that provide ample guidance to health care providers in discussing this important topic. Using a team approach that includes physicians, nurses, physical therapists, rehabilitation staff, and others is important to ensure that sexual counseling occurs throughout recovery. In addition, several trials using interventional approaches for sexual counseling provide insight into successful approaches for sexual counseling in practice. This article provides practical strategies and evidence-based approaches for assessment and sexual counseling for all cardiac patients and their partners, and specific counseling for those with ischemic conditions, heart failure, and implanted devices.
