As the extensive use of cloud computing raises questions about the security of any personal data stored there,cryptography is being used more frequently as a security tool to protect data confidentiality and privacy i...As the extensive use of cloud computing raises questions about the security of any personal data stored there,cryptography is being used more frequently as a security tool to protect data confidentiality and privacy in the cloud environment.A hypervisor is a virtualization software used in cloud hosting to divide and allocate resources on various pieces of hardware.The choice of hypervisor can significantly impact the performance of cryptographic operations in the cloud environment.An important issue that must be carefully examined is that no hypervisor is completely superior in terms of performance;Each hypervisor should be examined to meet specific needs.The main objective of this study is to provide accurate results to compare the performance of Hyper-V and Kernel-based Virtual Machine(KVM)while implementing different cryptographic algorithms to guide cloud service providers and end users in choosing the most suitable hypervisor for their cryptographic needs.This study evaluated the efficiency of two hypervisors,Hyper-V and KVM,in implementing six cryptographic algorithms:Rivest,Shamir,Adleman(RSA),Advanced Encryption Standard(AES),Triple Data Encryption Standard(TripleDES),Carlisle Adams and Stafford Tavares(CAST-128),BLOWFISH,and TwoFish.The study’s findings show that KVM outperforms Hyper-V,with 12.2%less Central Processing Unit(CPU)use and 12.95%less time overall for encryption and decryption operations with various file sizes.The study’s findings emphasize how crucial it is to pick a hypervisor that is appropriate for cryptographic needs in a cloud environment,which could assist both cloud service providers and end users.Future research may focus more on how various hypervisors perform while handling cryptographic workloads.展开更多
Objective:As a high computation cost discipline,nuclear science and engineering still relies heavily on traditional high performance computing(HPC)clusters.However,the usage of traditional HPC for nuclear science and ...Objective:As a high computation cost discipline,nuclear science and engineering still relies heavily on traditional high performance computing(HPC)clusters.However,the usage of traditional HPC for nuclear science and engineering has been limited due to the poor flexibility,the software compatibility and the poor user interfaces.Virtualized/virtual HPC(vHPC)can mimic an HPC by using a cloud computing platform.In this work,we designed and developed a vHPC system for employment in nuclear engineering.Methods:The system is tested using the computation of the numberπby Monte Carlo and an X-ray digital imaging system simulation.The performance of the vHPC system is compared with that of the traditional HPCs.Results:As the number of the simulated particles increases,the virtual cluster computing time grows propor-tionally.The time used for the simulation of the X-ray imaging was about 21.1 h over a 12 kernels virtual server.Experimental results show that the performance of virtual cluster computing and the actual physical machine is almost the same.Conclusions:From these tests,it is concluded that vHPC is a good alternative for employing in nuclear engineering.The proposed vHPC in this paper will make HPC flexible and easy to deploy.展开更多
文摘As the extensive use of cloud computing raises questions about the security of any personal data stored there,cryptography is being used more frequently as a security tool to protect data confidentiality and privacy in the cloud environment.A hypervisor is a virtualization software used in cloud hosting to divide and allocate resources on various pieces of hardware.The choice of hypervisor can significantly impact the performance of cryptographic operations in the cloud environment.An important issue that must be carefully examined is that no hypervisor is completely superior in terms of performance;Each hypervisor should be examined to meet specific needs.The main objective of this study is to provide accurate results to compare the performance of Hyper-V and Kernel-based Virtual Machine(KVM)while implementing different cryptographic algorithms to guide cloud service providers and end users in choosing the most suitable hypervisor for their cryptographic needs.This study evaluated the efficiency of two hypervisors,Hyper-V and KVM,in implementing six cryptographic algorithms:Rivest,Shamir,Adleman(RSA),Advanced Encryption Standard(AES),Triple Data Encryption Standard(TripleDES),Carlisle Adams and Stafford Tavares(CAST-128),BLOWFISH,and TwoFish.The study’s findings show that KVM outperforms Hyper-V,with 12.2%less Central Processing Unit(CPU)use and 12.95%less time overall for encryption and decryption operations with various file sizes.The study’s findings emphasize how crucial it is to pick a hypervisor that is appropriate for cryptographic needs in a cloud environment,which could assist both cloud service providers and end users.Future research may focus more on how various hypervisors perform while handling cryptographic workloads.
基金＂This paper is an extended version of ＂SpotMPl： a framework for auction-based HPC computing using amazon spot instances＂ published in the International Symposium on Advances of Distributed Computing and Networking （ADCN 2011）.Acknowledgment This research is supported in part by the National Science Foundation grant CNS 0958854 and educational resource grants from Amazon.com.
基金supported by National Key Research and Development Program 2016YFC0105406National Natural Science Foundation of China(11575095,61571262)。
文摘Objective:As a high computation cost discipline,nuclear science and engineering still relies heavily on traditional high performance computing(HPC)clusters.However,the usage of traditional HPC for nuclear science and engineering has been limited due to the poor flexibility,the software compatibility and the poor user interfaces.Virtualized/virtual HPC(vHPC)can mimic an HPC by using a cloud computing platform.In this work,we designed and developed a vHPC system for employment in nuclear engineering.Methods:The system is tested using the computation of the numberπby Monte Carlo and an X-ray digital imaging system simulation.The performance of the vHPC system is compared with that of the traditional HPCs.Results:As the number of the simulated particles increases,the virtual cluster computing time grows propor-tionally.The time used for the simulation of the X-ray imaging was about 21.1 h over a 12 kernels virtual server.Experimental results show that the performance of virtual cluster computing and the actual physical machine is almost the same.Conclusions:From these tests,it is concluded that vHPC is a good alternative for employing in nuclear engineering.The proposed vHPC in this paper will make HPC flexible and easy to deploy.
