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2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting
The joint meeting is intended to provide an international forum for the exchange of information on state of the art research in the area of antennas and propagation, electromagnetic engineering and radio science
ECTC is the premier international conference sponsored by the IEEE Components, Packaging and Manufacturing Society. ECTC paper comprise a wide spectrum of topics, including 3D packaging, electronic components, materials, assembly, interconnections, device and system packaging, optoelectronics, reliability, and simulation.
The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.
Multimedia technologies, systems and applications for both research and development of communications, circuits and systems, computer, and signal processing communities.
IEEE International Conference on Plasma Science (ICOPS) is an annual conference coordinated by the Plasma Science and Application Committee (PSAC) of the IEEE Nuclear & Plasma Sciences Society.
Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.
Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission
Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...
Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...
Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)
2017 International Conference on Information and Communication Technology Convergence (ICTC), 2017
Making the data plane of a SDN flexible enough to satisfy the various requirements of heterogeneous IoT applications is very desirable for Software Defined IoT (SD-IoT) networking. The network device having programmable data plane provides an ability to add new packet and data processing procedures dynamically to the IoT applications. Previously proposed solutions for adding programmability to the SDN data ...
2010 IEEE International Symposium on Policies for Distributed Systems and Networks, 2010
Modern networks not only forward traffic, but also perform a variety of processing operations on packets (e.g., content inspection, transcoding, QoS scheduling). Such data plane operations cannot be easily coordinated in the current Internet architectures since there is no explicit policy support for packet processing services. As more diverse systems and protocols are deployed in the next-generation Internet, this problem ...
2017 IEEE 25th International Conference on Network Protocols (ICNP), 2017
A key feature of Software Defined Network is the decoupling of control pane and data plane. Although delivering huge benefits, such a decoupling also brings a new risk: the data plane states (i.e., flow tables) may deviate from the control plane policies. Existing data plane testing tools like Monocle check the correctness of flow tables by injecting probes. However, they ...
2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC), 2018
Networks have become an important feature of our day-to-day to life and therefore, user experience is an imperative goal to be achieved by network operators. Load balancing is a method of improving network performance, availability, minimizing delays and avoiding network congestion. In this paper, we study dynamic load balancing to improve network performance and reduce network response time. The load ...
2018 15th International Joint Conference on Computer Science and Software Engineering (JCSSE), 2018
A Software Defined Networking (SDN) has been deployed in the current network system. Together with Network Virtualization (NVF), it makes the network become more flexible. The firewall can be implemented in SDN. However, with the limitation of earlier version of OpenFlow protocol used in SDN, the stateful firewall could not be implemented with the SDN standard. The development of OpenFlow ...
IMS 2014: Out-of-Plane and Inline RF Switches based on Ge2Sb2Te5 Phase-Change Material
IMS 2014: Super High Bit Rate Radio Access Technologies for Small Cells Using Higher Frequency Bands
X-59 Quiet Supersonic Technology X-Plane - Peter Iosifidis - VIC Summit 2019
Waalbot: Agile Climbing with Synthetic Fibrillar Dry Adhesives
Large Motion Range Magnet Levitation Using a Planar Array of Coils
Perpendicular magnetic anisotropy: From ultralow power spintronics to cancer therapy
IMS 2015: Chris Walker - John Tucker Special Tribute - SuperCam: A 64 Pixel SIS Receiver Array for Submillimeter-wave Astronomy
History of Robotics and Automation: Robot Arms and Hands
IMS 2014: LNA Modules for the WR4 (170-260 GHz) Frequency Range
Big Data Analytics: Tools and Technologies - Big Data Analytics Tutorial Part 2
Estimating Sparse Eigenstructure for High Dimensional Data
TechNews: Big Data
Temporal Pattern Mining in Symbolic Time Point and Time Interval Data
Mahmoud Daneshmand on IoT and Big Data Analytics: IoT: Even Bigger Data
Towards Logic-in-Memory circuits using 3D-integrated Nanomagnetic Logic - Fabrizio Riente: 2016 International Conference on Rebooting Computing
Human-Guided Video Data Collection in Marine Environnment
Concept of Arrays
Big Data and Analytics at Verizon
Q&A with Dr. Ling Liu: IEEE Big Data Podcast, Episode 8
Making the data plane of a SDN flexible enough to satisfy the various requirements of heterogeneous IoT applications is very desirable for Software Defined IoT (SD-IoT) networking. The network device having programmable data plane provides an ability to add new packet and data processing procedures dynamically to the IoT applications. Previously proposed solutions for adding programmability to the SDN data plane provide extensibility for packet forwarding operations for new protocols, but IoT applications need more flexible programmability for in-network data processing operations e.g. data aggregation of sensing data from thousands of sensor nodes. Moreover, some IoT models such as OMG DDS, oneM2M, and Eclipse SCADA use publish-subscribe model, which is difficult to represent with the operations of existing message- centric data plane models. We introduce a new in-network data processing scheme for SD-IoT data plane. It defines an event-driven data processing model that can express various in-network data processing cases in the SD-IoT environment. It also proposes a language to program the data processing procedures using the model, and presents a flexible data plane structure that can install and execute the programs at runtime. We demonstrated flexibility of the proposing scheme with sample programs for some example SD-IoT cases.
Modern networks not only forward traffic, but also perform a variety of processing operations on packets (e.g., content inspection, transcoding, QoS scheduling). Such data plane operations cannot be easily coordinated in the current Internet architectures since there is no explicit policy support for packet processing services. As more diverse systems and protocols are deployed in the next-generation Internet, this problem becomes increasingly challenging. In our work, we propose a novel policy enforcement system for data-path functions in the next-generation Internet. Using a formalism to represent policies and automated planning tools, connection request can be adapted to meet the policy requirement of the domains they traverse. We present the theoretical foundations of this approach as well as a prototype implementation based on our network service architecture. Our results show that this approach is an effective solution to enforcing policies relating to the date plane of networks.
A key feature of Software Defined Network is the decoupling of control pane and data plane. Although delivering huge benefits, such a decoupling also brings a new risk: the data plane states (i.e., flow tables) may deviate from the control plane policies. Existing data plane testing tools like Monocle check the correctness of flow tables by injecting probes. However, they are limited in four aspects: (1) slow in generating probes due to solving SAT problems, (2) may raise false negatives when there are multiple missing rules, (3) do not support incremental probe update to work in dynamic networks, and (4) cannot test cascaded flow tables used by OpenFlow switches. To overcome these limitations, we present RuleChecker, a fast and complete data plane testing tool. In contrast to previous tools that generate each probe by solving an SAT problem, RuleChecker takes the flow table as whole and generates all probes through an iteration of simple set operations. By lever- aging Binary Decision Diagram (BDD) to encode sets, we make RuleChecker extremely fast: around 5 χ faster than Monocle (when detecting rule missing faults), and nearly 20 χ faster than RuleScope (when detecting both rule missing and priority faults), and can update probes in less than 2 ms for 90% of cases, based on the Stanford backbone rule set.
Networks have become an important feature of our day-to-day to life and therefore, user experience is an imperative goal to be achieved by network operators. Load balancing is a method of improving network performance, availability, minimizing delays and avoiding network congestion. In this paper, we study dynamic load balancing to improve network performance and reduce network response time. The load balancer is applied to OpenFlow SDN network's data plane with Opendaylight as the controller. The flexibility of the load balancer is tested by using it on two different network topologies. Results show that the load balancer can improve the overall performance of the network and reduce delay. The main contribution of this work is a load balancing mechanism for SDN centralized controller environments which can be employed at any point in time in a network, for example, before network failure or after link failure, to avoid data plane congestion and link overloading.
A Software Defined Networking (SDN) has been deployed in the current network system. Together with Network Virtualization (NVF), it makes the network become more flexible. The firewall can be implemented in SDN. However, with the limitation of earlier version of OpenFlow protocol used in SDN, the stateful firewall could not be implemented with the SDN standard. The development of OpenFlow enables some features that can be used for implementing the stateful firewall. In this work, we implement the stateful firewall in the SDN switch on the data plane. The Open vSwitch is used. We also evaluate the performance of the SDN stateful firewall. The results show that our SDN stateful firewall can work correctly with small overhead increased in SDN switches.
Recent developments in Internet technology have led to an increased importance of Software-Defined Networks (SDN). Due to advantages of this new network model that controls the network centrally, many service providers and vendors expect that traditional networks should be superseded by SDN. However, because of their centralized nature, they are vulnerable in terms of reliability and fault-tolerance issues both on data and control planes. Thus, developing such a fault-tolerant SDN design is quite important. In this study, fault tolerance on the data plane is targeted by considering various network and performance measurements. In the experiments, the impact of the topology size, frequency of packets, and the number of flows in the current route on the recovery time is tested. Moreover, local and global recovery approaches are compared.
In order to solve physical nodes virtualization, the industries introduce the system virtualization technology. Through we in-depth research on the shortcomings of virtual routers which implement by the system virtualization technology, we find that competition of I/O resources greatly affect the overall performance of the virtual router. This paper presents an improved mechanism for virtual router data plane. The program adopts rewrite packet header processing mechanism to optimize packet processing path in the virtual router forwarding plane and reduce the I/O resources time occupied by forwarding a message, which thereby reduces the competition of I/O resource among the virtual router data planes. Through the analysis of its performance, the program not only meets the basic principles of virtual routers, but also has much advantages in forwarding the packet rate and resource utilization.
The programmability of the network data plane has become one of the most desirable features within the context of software defined networks, with P4 serving as a domain-specific language for defining data plane processing. In this work, we are motivated to address the challenges of mapping a P4 defined data plane to a heterogeneous programmable hardware architecture consisting of both a CPU and a GPU, which includes a salient parallel SIMD architecture for processing network flows. We first design a toolset that can be used to map a P4 program onto the proposed architecture. We then optimize the GPU kernel designs for “match-action” primitives and present latency-hiding techniques to reduce the overheads of CPU/GPU communication. In addition, load balancing is investigated to maximize the utilization of CPU and GPU resources. Our toolset and optimizations allow a P4 program to render promising performance on the given heterogeneous architecture. Specifically, the experimental results collected on our prototype systems show that the automatically configured GPU kernels achieve scalable lookup and classification speeds with 420 million IP lookups per second, and more than 60 million classifications per second (for 4K firewall rules).
In recent years, a new concept of network architecture with control/data plane separation is introduced to the future network, which can effectively improve the mobility robustness and reduce the handover failure by providing the data plane services under the umbrella of a macro cell coverage layer. However, in the ultra dense network, frequent data plane handovers would still introduce huge signaling exchanges and latencies. In this paper, we propose a universal predictive mobility management scheme for urban ultra-dense networks to speed up the data plane handover process. We utilize the probability suffix tree model to save and analyze the transition relationships between small cells in terms of variable markov chains, and pre-configure a cluster of small cells with larger handover probabilities for the users. To accommodate different versions of the users, a compatible network-controlled predictive mobility management procedure and an advanced user-autonomous predictive mobility management procedure are proposed to support the proposed predictive mobility management scheme. The simulation results show that the proposed scheme can significantly improve the prediction accuracy with a lower redundant configuration cost and can effectively speed up the data plane handover process compared with the traditional mobility management.
With the advent of P4-specific programmable data plane (PDP), network functions (NFs) can be offloaded into the PDP to achieve high performance guaranteed by hardware. Meanwhile, CPU powers consumed by NFs can be released to user applications. However, as more and more NFs can be offloaded, several problems rooted inside the PDP severely hinder it from facilitating this offloading trend. 1) The existing PDP provides the exclusive data plane abstraction where different NFs cannot operate the same data plane. 2) The PDP is hardly able to deploy NFs in a “hitless” manner. In this paper, we propose HyperVDP as a high-performance data plane hypervisor to provision non- exclusive abstraction and uninterrupted reconfigurability on the P4-specific PDP. To achieve virtualization, we design several innovative techniques to equally express functions of all programmable elements in the P4-specific PDP. We implement the prototype of HyperVDP on different target platforms, and evaluate different target-based prototypes by comparing with their counterparts. Results show that BMv2-target HyperVDP averagely prevails over its counterpart 2.5× in performance and 4× in resource efficiency. DPDK-target HyperVDP performs comparably to its counterparts while offering virtualization features which neither of its counterparts could provide.