The study of Cyber-Physical System (CPS) has been an active area research. Internet Data Center (IDC) is important emerging System. As the demand on services drastically increases in recent years, power used by IDCs skyrocketing. While most existing research focuses reducing consumptions IDCs, management problem for minimizing total electricity cost overlooked. This faced service providers, especially current multi-electricity market, where price may exhibit time and location diversities....

Cloud computing services are becoming integral part of people's daily life. These supported by infrastructure known as Internet data center (IDC). As demand for cloud soars, energy consumed IDCs is skyrocketing. Both academia and industry have paid great attention to management IDCs. This paper studies an important problem-how minimize cost in deregulated electricity markets. We propose a novel two-stage design the eco-IDC (Energy Cost Optimization-IDC) algorithm exploit temporal diversity...

This paper addresses the problem of electricity cost management for Internet service providers with a collection spatially distributed data centers. As demand on services and cloud computing has kept increasing in recent years, power usage associated IDC operations been uprising significantly. The cyber physical aspects IDCs interact each other, bring unprecedented challenges management. While most existing research focuses reducing consumptions at one specific location, total overlooked. is...

This paper addresses the problem of electricity cost management for Internet service providers with a collection spatially distributed data centers. As demand on services drastically increases in recent years, consumed by centers (IDCs) has been skyrocketing. While most existing research focuses reducing electric energy consumption IDCs at one specific location, total overlooked. is an important faced providers, especially present multi-electricity-market environment, where price may exhibit...

Cloud computing is powered by an engine known as Internet data center (IDC). As cloud flourishes, the energy consumption and cost for IDCs are soaring. The minimization problem in deregulated electricity markets has generated growing interest. In this paper we study how to leverage both geographic temporal variation of price minimize distributed IDCs. We propose a novel architecture two algorithms unified spatial load balancing. Rigorous analysis shows that our have low computational...

Internet Data Center (IDC) supports the reliable operations of many important online services. As demand services and cloud computing keep increasing in recent years, power usage associated with IDC had been surging significantly. Such mass consumption has brought heavy burden on operators. Recently there are extensive research management for IDCs. However, one challenge faced by operators overlooked. How to handle uncertainties is a challenging task. The come from both dynamic workload...

The successful distribution of computer services, including software, storage needs, analytics, intelligence, and many others, is reflected in cloud computing. Additionally, it provides quicker innovation while simultaneously providing flexible resources.Deep learning (DL), a subset artificial intelligence (AI) machine learning, widely seen as key technology the Fourth Industrial Revolution (4IR or Industry 4.0). neural network (ANN)-based technique known deep (DL) has gained popularity...

Along with the rapid increasing energy consumption, cost of Internet data centers (IDCs) has been skyrocketing. A novel scheme geographical load balancing was proposed to reduce electricity bills for service providers. However, one important challenge faced by providers not considered properly. In systems, delay consumers includes queuing and transmission delay. While existing work only consider delay, introduced overlooked. It is most factors affecting quality real-time systems. this paper,...

Internet Data Center (IDC) supports the reliable operations of many important on-line services. As demand on services and cloud computing keep increasing in recent years, power usage associated with IDC has been uprising significantly. The cyber physical aspects IDCs interact each other, brings unprecedented challenges management. While most existing research focuses reducing consumptions IDCs, this paper studies problem minimizing total electricity cost geared to quality service constraint...

The recent years witnessed rapid emergence and proliferation of cloud computing. To fully utilize the compute resources, some operators provide spot resources. Spot resources allow customers to bid on unused capacity. However, pricing policy should be carefully designed impact both present future considered. For present, provider can set a higher price gain extra revenue. future, will shift more requests with lower prices later time reduce revenue future. Meanwhile, quality service...

A terahertz wideband filter based on double layer metal hole arrays is designed in this paper. array perforated a with square of circular air holes. The transmission characteristics the electromagnetic waves through can be determined by accumulation in-phase scattering, spoof surface plasmon polaritons, and waveguide modes. spectrum tuned adding another identical array, formed accordingly. Samples containing double-layered were fabricated micromachining technology. center frequency located...

Wireless sensor networks (WSNs) can be successfully applied in a wide range of applications. Efficient data dissemination is fundamental service which enables many useful high-level functions such as parameter reconfiguration, network reprogramming, etc. Many current protocols employ coding techniques to deal with packet losses. The overhead, however, becomes bottleneck terms delay. We exploit the concurrency potential nodes and propose MT-Deluge, multithreaded design coding-based protocol....

<abstract><p>Traditional unsupervised speech enhancement models often have problems such as non-aggregation of input feature information, which will introduce additional noise during training, thereby reducing the quality signal. In order to solve above problems, this paper analyzed impact information on its performance. Moreover, article introduced a temporal convolutional neural network and proposed SASEGAN-TCN model, captured local features aggregated global improve model...

Abstract Navigation in unknown 3D environments aims to progressively find an efficient path a given target goal unseen scenarios. A challenge is how explore the navigation quickly and effectively. An end-to-end learning approach has been proposed extract geometric shapes from RGB images, but it not suitable for large due its exhaustive exploration with exponential search space. Active Neural SLAM (ANS) presents module maximize coverage tackle active task. However, ANS still frequently visits...

Water body extraction from remote sensing images in complex backgrounds is crucial for environmental monitoring, disaster management, and urban planning. Although existing water algorithms offer robust tools they still face challenges, including the inability to extract fine bodies frequent omission of edges such as dense vegetation, varying terrain, or cloud interference. In response, we introduce an architecture named WatNet enhance precision environments. comprises three main modules:...

Cloud computing is supported by an infrastructure known as Internet data center (IDC). As cloud thrives, the energy consumption and cost for IDCs are exploding. There growing interest in minimization deregulated electricity markets. In this paper we study how to leverage both geographic temporal variation of price minimize distributed IDCs. To end, propose a novel spatio-temporal load balancing approach. Using reallife workload traces, extensive evaluations demonstrate that proposed approach...

The study of today's Cyber-Physical System (CPS) has been an important research area. Internet Data Centers (IDCs) are energy consuming CPSs that support the reliable operations many online services. Along with increasing services and cloud computing in recent years, power usage associated IDC had surging significantly. Such mass consumption brought extremely heavy burden on operators. Recently there extensive management for IDCs. While most work only consider about dynamical optimization...

Point cloud registration from laser scanning data is a technique to establish the mapping relationship between source and target point clouds, which has been widely used in automatic 3D reconstruction, pose estimation, localization, navigation. While algorithms like Super4PCS MSSF-4PCS can achieve without initial poses, they are relatively slow, less accurate, require iterations. To address these issues, we propose algorithm based on interval segmentation multi-dimensional feature. Firstly,...

Cloud computing services are becoming integral part of people's daily life. These supported by Internet data centers (IDCs). As demand for cloud soars, energy consumed IDCs is skyrocketing. This paper studies an management problem - how to minimize cost in deregulated electricity markets. While several existing works handle this leveraging spatial diversity price, little has been done address the temporal uncertainty price and arriving workload. proposes a novel two-stage design eco-IDC...

Along with the surging service demands on cloud, energy cost of Internet Data Centers (IDCs) is dramatically increasing. Energy management for IDCs becoming ever more important. A large portion applications running data centers are data-intensive applications. MapReduce (and Hadoop) has been one mostly deployed frameworks Both academia and industry have greatly concerned problem how to reduce consumption IDCs. However critical power peak clusters overlooked, which a new challenge brought by...