- 标题
- 摘要
- 关键词
- 实验方案
- 产品
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[IEEE 2019 Photonics & Electromagnetics Research Symposium - Fall (PIERS - Fall) - Xiamen, China (2019.12.17-2019.12.20)] 2019 Photonics & Electromagnetics Research Symposium - Fall (PIERS - Fall) - A Wideband Polarization Conversion Slot Antenna Using Metasurface
摘要： The virtual machine (VM) is the most basic unit for virtualization and resource allocation. The study of VM power metering is the key to reducing the power consumption of data centers. In this paper, we make a comprehensive investigation in issues regarding VM power metering, including server models, sampling, VM power metering methods, and the accuracy of the methods. We will review many up-to-date power metering methods in this paper, and analyze their ef?ciencies, as well as evaluate their performance. Open research issues, such as VM service billing, power budgeting, and energy saving scheduling, are discussed, with an objective to spark new research interests in this ?eld.
关键词： Virtual machine,power metering,cloud computing
更新于2025-09-19 17:13:59
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[IEEE 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Chicago, IL, USA (2019.6.16-2019.6.21)] 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Effect of Process Temperature and Copper Doping on the Performance of ZnTe:Cu Back Contacts in CdTe Photovoltaics
摘要： The virtual machine (VM) is the most basic unit for virtualization and resource allocation. The study of VM power metering is the key to reducing the power consumption of data centers. In this paper, we make a comprehensive investigation in issues regarding VM power metering, including server models, sampling, VM power metering methods, and the accuracy of the methods. We will review many up-to-date power metering methods in this paper, and analyze their ef?ciencies, as well as evaluate their performance. Open research issues, such as VM service billing, power budgeting, and energy saving scheduling, are discussed, with an objective to spark new research interests in this ?eld.
关键词： cloud computing,power metering,Virtual machine
更新于2025-09-19 17:13:59
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Coupled-Line-Based <i>Ka</i> -Band CMOS Power Dividers
摘要： Cloud computing enables customers with limited computational resources to outsource their huge computation workloads to the cloud with massive computational power. However, in order to utilize this computing paradigm, it presents various challenges that need to be addressed, especially security. As eigen-decomposition (ED) and singular value decomposition (SVD) of a matrix are widely applied in engineering tasks, we are motivated to design secure, correct, and efficient protocols for outsourcing the ED and SVD of a matrix to a malicious cloud in this paper. In order to achieve security, we employ efficient privacy-preserving transformations to protect both the input and output privacy. In order to check the correctness of the result returned from the cloud, an efficient verification algorithm is employed. A computational complexity analysis shows that our protocols are highly efficient. We also introduce an outsourcing principle component analysis as an application of our two proposed protocols.
关键词： eigen-decomposition,principle component analysis,singular value decomposition,Cloud computing,secure outsourcing
更新于2025-09-19 17:13:59
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[IEEE 2019 IEEE Power & Energy Society General Meeting (PESGM) - Atlanta, GA, USA (2019.8.4-2019.8.8)] 2019 IEEE Power & Energy Society General Meeting (PESGM) - Impact of Electric Vehicle Charging and Photovoltaic Generation on Distribution System Voltage Volatility
摘要： The effective use of data within intensive care units (ICUs) has great potential to create new cloud-based health analytics solutions for disease prevention or earlier condition onset detection. The Artemis project aims to achieve the above goals in the area of neonatal ICUs (NICU). In this paper, we proposed an analytical model for the Artemis cloud project which will be deployed at McMaster Children’s Hospital in Hamilton. We collect not only physiological data but also the infusion pumps data that are attached to NICU beds. Using the proposed analytical model, we predict the amount of storage, memory, and computation power required for the system. Capacity planning and tradeoff analysis would be more accurate and systematic by applying the proposed analytical model in this paper. Numerical results are obtained using real inputs acquired from McMaster Children’s Hospital and a pilot deployment of the system at The Hospital for Sick Children (SickKids) in Toronto.
关键词： Health informatics,capacity planning,real-time analytics,data management,analytical modeling,cloud computing
更新于2025-09-19 17:13:59
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[IEEE 2019 19th International Conference on Advanced Robotics (ICAR) - Belo Horizonte, Brazil (2019.12.2-2019.12.6)] 2019 19th International Conference on Advanced Robotics (ICAR) - The CALM System: New Generation Computer-Assisted Laser Microsurgery
摘要： An Enhanced-Internet that provides ultra-low-latency guaranteed-rate communications for Cloud Services is proposed. The network supports two traffic classes, the Smooth and Best-Effort classes. Smooth traffic flows receive low-jitter GR service over virtual-circuit-switched (VCS) connections with negligible buffering and queueing delays, up to 100% link utilizations, deterministic end-to-end quality-of-service (QoS) guarantees, and improved energy efficiency. End-to-end delays are effectively reduced to the fiber 'time of flight.' A new router scheduling problem called the Bounded Normalized-Jitter integer-programming problem is formulated. A fast polynomial-time approximate solution is presented, allowing TDM-based router schedules to be computed in microseconds. We establish that all admissible traffic demands in any packet-switched network can be simultaneously satisfied with GR-VCS connections, with minimal buffering. Each router can use two periodic TDM-based schedules to support GR-VCS connections, which are updated automatically when the router's traffic rate matrix changes. The design of a Silicon-Photonics all-optical packet switch with minimal buffering is presented. The Enhanced-Internet can: 1) reduce router buffer requirements by factors of; 2) increase the Internet's aggregate capacity; 3) lower the Internet's capital and operating costs; and 4) lower greenhouse gas emissions through improved energy efficiency.
关键词： energy efficiency,DiffServ,cloud,low latency,Buffer sizes,routing,data centers,Future Internet,cloud computing,quality of service (QoS),scheduling
更新于2025-09-16 10:30:52
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Highly Sensitive, Selective and Portable Sensor Probe using Germanium-Doped Photosensitive Optical Fiber for Ascorbic Acid Detection
摘要： Infrastructure as a service (IaaS) allows users to rent resources from the Cloud to meet their various computing requirements. The pay-as-you-use model, however, poses a nontrivial technical challenge to the IaaS cloud service providers: how to fast provision a large number of virtual machines (VMs) to meet users’ dynamic computing requests? We address this challenge with VMThunder, a new VM provisioning tool, which downloads data blockson demand during the VM booting process and speeds up VM image streaming by strategically integrating peer-to-peer (P2P) streaming techniques with enhanced optimization schemes such as transfer on demand, cache on read, snapshot on local, and relay on cache. In particular, VMThunder stores the original images in a share storage and in the meantime it adopts a tree-based P2P streaming scheme so that common image blocks are cached and reused across the nodes in the cluster. We implement VMThunder in CentOS Linux and thoroughly test its performance. Comprehensive experimental results show that VMThunder outperforms the state-of-the-art VM provisioning methods, with respect to scalability, latency, and VM runtime I/O performance.
关键词： IaaS,image streaming,Cloud computing,virtual machine provisioning
更新于2025-09-16 10:30:52
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[IEEE 2019 IEEE SENSORS - Montreal, QC, Canada (2019.10.27-2019.10.30)] 2019 IEEE SENSORS - Optical fiber methane sensor using refractometry
摘要： Cloud data owners prefer to outsource documents in an encrypted form for the purpose of privacy preserving. Therefore it is essential to develop efficient and reliable ciphertext search techniques. One challenge is that the relationship between documents will be normally concealed in the process of encryption, which will lead to significant search accuracy performance degradation. Also the volume of data in data centers has experienced a dramatic growth. This will make it even more challenging to design ciphertext search schemes that can provide efficient and reliable online information retrieval on large volume of encrypted data. In this paper, a hierarchical clustering method is proposed to support more search semantics and also to meet the demand for fast ciphertext search within a big data environment. The proposed hierarchical approach clusters the documents based on the minimum relevance threshold, and then partitions the resulting clusters into sub-clusters until the constraint on the maximum size of cluster is reached. In the search phase, this approach can reach a linear computational complexity against an exponential size increase of document collection. In order to verify the authenticity of search results, a structure called minimum hash sub-tree is designed in this paper. Experiments have been conducted using the collection set built from the IEEE Xplore. The results show that with a sharp increase of documents in the dataset the search time of the proposed method increases linearly whereas the search time of the traditional method increases exponentially. Furthermore, the proposed method has an advantage over the traditional method in the rank privacy and relevance of retrieved documents.
关键词： security,ciphertext search,hierarchical clustering,multi-keyword search,ranked search,Cloud computing
更新于2025-09-16 10:30:52
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[IEEE IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium - Yokohama, Japan (2019.7.28-2019.8.2)] IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium - A Cloud-Enabled Geospatial Big Data Platform for Disaster Information Services
摘要： Geospatial technologies have been widely used to support decision making in natural disaster responses. There have been various efforts from multiple disasters to use geospatial information and models for disaster preparation, response, and resilience. These separated efforts can be shared and re-used across various sectors using a sustained platform. This paper presents how a platform layered on big data and cloud computing technologies can help achieve this goal. The big data platform enables the accumulation of disaster data, models, services, and applications in spatial information infrastructures (SDI), and improves the capabilities of SDI in supporting disaster risk reduction.
关键词： cloud computing,big data,interoperability,disaster,spatial data infrastructure
更新于2025-09-12 10:27:22
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Design and implementation of optical fiber SSD exploiting FPGA accelerated NVMe (May 2019)
摘要： In recent years, GPU-based platforms have received significant success for parallel applications. In addition to highly optimized computation kernels on GPUs, the cost of data movement on GPU clusters plays critical roles in delivering high performance for end applications. Many recent studies have been proposed to optimize the performance of GPU- or CUDA-aware communication runtimes and these designs have been widely adopted in the emerging GPU-based applications. These studies mainly focus on improving the communication performance on native environments, i.e., physical machines, however GPU-based communication schemes on cloud environments are not well studied yet. This paper first investigates the performance characteristics of state-of-the-art GPU-based communication schemes on both native and container-based environments, which show a significant demand to design high-performance container-aware communication schemes in GPU-enabled runtimes to deliver near-native performance for end applications on clouds. Next, we propose the C-GDR approach to design high-performance Container-aware GPUDirect communication schemes on RDMA networks. C-GDR allows communication runtimes to successfully detect process locality, GPU residency, NUMA, architecture information, and communication pattern to enable intelligent and dynamic selection of the best communication and data movement schemes on GPU-enabled clouds. We have integrated C-GDR with the MVAPICH2 library. Our evaluations show that MVAPICH2 with C-GDR has clear performance benefits on container-based cloud environments, compared to default MVAPICH2-GDR and Open MPI. For instance, our proposed C-GDR can outperform default MVAPICH2-GDR schemes by up to 66% on micro-benchmarks and up to 26% on HPC applications over a container-based environment.
关键词： RDMA,Container,MPI,GPU,Cloud Computing
更新于2025-09-11 14:15:04
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - An Automatic Deployment Support for Processing Remote Sensing Data in the Cloud
摘要： Master/Worker distributed programming model enables huge remote sensing data processing by assigning tasks to Workers in which data is stored. Cloud computing features include the deployment of Workers by using virtualized technologies such as virtual machines and containers. These features allow programmers to configure, create, and start virtual resources for instance. In order to develop remote sensing applications by taking advantage of high-level programming languages (e.g., R, Matlab, and Julia), users have to manually address Cloud resource deployment. This paper presents the design, implementation, and evaluation of the Infra.jl research prototype. Infra.jl takes advantage of Julia Master/Worker programming simplicity for providing automatic deployment of Julia Workers in the Cloud. The assessment of Infra.jl automatic deployment is only ～2.8s in two different Azure Cloud data centers.
关键词： data management,cloud computing,big data,image processing,remote sensing
更新于2025-09-10 09:29:36