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Data center networks (DCNs) continuously evolve to support emerging applications. For instance, server-centric architectures are becoming popular because they improve the modularity and resilience of data centers. In a server-centric DCN, switching functionalities are embedded in each server instead of in dedicated switches. Recently, wireless technologies have been introduced into the design of server-centric...
The coverage control problem for multiple mobile robot system with limited and dissimilar sensing abilities is addressed in this article. There exist missing areas while taking the previously developed r-limited Voronoi partitions due to distinct sensing ranges. Thus, a modified partitioning approach is proposed to enhance coverage performance. Furthermore, the dynamic coverage controllers are developed...
In this paper, The problem on designing time-varying delay feedback controller of master-slave synchronization for a class of interval time-varying delay Lur'e systems has been considered. Through combining inequality with reciprocal convex technique, a sufficient condition is derived to ensure the master-slave synchronization if designed linear feedback controller is employed to every subsystems...
This paper is concerned with sliding sector based variable structure control design of a class of Itô-type stochastic Markov jump system subject to transition rate uncertainties and actuator failure. First, some notions about the sliding-sector for the stochastic Markov jump systems are presented. Sufficient conditions for the design of PR-sliding sector are then established in the framework of linear...
In this paper, a TV logo detection system is proposed based on the deep learning architecture for the specific TV logo detection task. Training a robust object detector typically requires a large amount of manually annotated data, which is time-consuming. To reduce the cost, we construct a TV logo detection system in a weakly-supervised framework, which is accomplished by a TV logo localization network...
Graphics-as-a-service (GaaS) is gaining popularity in cloud computing community. There is an emerging trend of running GaaS workload using virtualized GPU in current data center deployment. This paper provides a detailed characterization of GaaS workload under virtualized GPU NUMA environment, and found that: (1) GaaS workloads exhibit different behavior with GPGPU workloads by having more frequent...
Inventory management plays a critical role to track inventory levels, orders, and sales of the retailing business. Effective inventory management is a capability necessary to lead in the global marketplace. In the current retailing market, a huge amount of data regarding stocked items in inventory is generated and collected every day. Due to the increasing volume of transaction data and their correlated...
For the problem of typical polyphase codes recognition, an algorithm based on integrated quadratic phase function (IQPF) and fractional Fourier transform (FRFT) is proposed. Firstly, IQPF is used to estimate the chirp rate of the signals for pre classification. Then accurate identification is realized according to the spectral characteristics of the signals' FRFT. The simulation results show that...
The technology of wideband real-time spectrum analysis (RTSA) technology focus on the effective discovery, capture and detection of signal with large bandwidth and complex modulation. In this paper, some RTSA technology, including digital phosphor (DPX)technology, frequency mask trigger (FMT) technology and DPX density trigger(DDT) technology, are used to design an electronic reconnaissance digital...
Based on the actual situation of network attack and defense, a multi-stage attack-defense game model is formulated for the multi-stage attack-defense confrontation with the constraint of incomplete information. Considering that the network attack and defense has been developed rapidly and in real-time condition, the way that traditional discrete multi-stage game model has been used to analyze the...
A novel three-phase isolated soft-switching DC-DC converter suitable for medium voltage high current applications is proposed. The converter consists of a three-phase full bridge, a high frequency transformer and a three-phase active rectifier. With secondary phase shift modulation, zero voltage switching for all primary switches and zero current switching for all secondary switches are achieved from...
This paper presents a novel approach for blind identification of space-frequency block codes. Based on the random matrix theory, we propose principal component sequence as a discriminating feature, which is detected by sliding window in the frequency-domain. With this feature, Euclidean distance is employed for decision making. The proposed algorithm does not need priori knowledge of the signal parameters...
Modeling and analysis of program behavior are at the foundation of computer system design and optimization. As computer systems become more adaptive, their efficiency increasinsgly depends on program dynamic characteristics. Previous studies have revealed that program runtime execution manifests phase behavior. Recently, methods and tools to analyze and classify program phases have also been developed...
As cloud applications proliferate and data-processing demands increase, server resources must grow to unleash the performance of emerging workloads that scale well with large number of compute nodes. Nevertheless, power has become a crucial bottleneck that restricts horizontal scaling (scale out) of server systems, especially in datacenters that employ power over-subscription. When a data-center hits...
As high-performance computing device, the GPU has exposed bandwidth and latency bottlenecks in on-chip interconnect and off-chip memory access. To eliminate such bottlenecks, we employ silicon nanophotonics and 3D stacking technologies in GPU microarchitecture. This provides higher communication bandwidth and lower latency signaling mechanisms at reduced power. Furthermore, to insulate the performance...
Accelerating Convolutional Neural Networks (CNNs) on GPUs usually involves two stages: training and inference. Traditionally, this two-stage process is deployed on high-end GPU-equipped servers. Driven by the increase in compute power of desktop and mobile GPUs, there is growing interest in performing inference on various kinds of platforms. In contrast to the requirements of high throughput and accuracy...
With high-performance mobile processors and large main memory, smartphones are now integrated with more applications and richer functionality than ever. This poses larger memory and storage space demands, however, most mobile systems have limited memory space, which in turn affects user satisfaction. For example, application response time could become longer due to limited memory capacity. Swapping...
Fault injection attacks (FIAs) are becoming a serious threat to the security of integrated circuits (ICs). Circuit designers need a simple and effective method to evaluate the ability of their IC designs against the FIAs at design stage. To address the need, this paper based on FPGA emulation proposes a method, which mimics FIAs on a circuit design implemented on a FPGA by instantiating a uniform...
Large-scale time series data are prevalent across diverse application domains including system management, biomedical informatics, social networks, finance, etc. Temporal dependency discovery performs an essential part to identify the hidden interactions among the observed time series and helps to gain more insight into the behavior of the applications. However, the time-varying sparsity of the interactions...
The performance of parallel data analytics systems becomes increasingly important with the rise of Big Data. An essential operation in such environment is parallel join, which always incurs significant cost on network communication. State-of-the-art approaches have achieved performance improvements over conventional implementations through minimizing network traffic or communication time. However,...
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