Energy expenditure has become a significant fraction of data center operating costs. Recently, "geographical load balancing" been suggested to reduce energy cost by exploiting the electricity price differences across regions. However, this reduction can paradoxically increase total use.

Recently, the demand for data center computing has surged, increasing total energy footprint of centers worldwide. Data typically comprise three subsystems: IT equipment provides services to customers; power infrastructure supports and cooling equipment; removes heat generated by these subsystems. This work presents a novel approach model flows in optimize its operation. Traditionally, supply-side constraints such as or availability were treated independently from workload management....

Recently, transformer has achieved remarkable performance on a variety of computer vision applications. Compared with mainstream convolutional neural networks, transformers are often sophisticated architectures for extracting powerful feature representations, which more difficult to be developed mobile devices. In this paper, we present an effective post-training quantization algorithm reducing the memory storage and computational costs transformers. Basically, task can regarded as finding...

In this paper, a novel Diffusion-based 3D Pose estimation (D3DP) method with Joint-wise reProjection-based Multi-hypothesis Aggregation (JPMA) is proposed for probabilistic human pose estimation. On the one hand, D3DP generates multiple possible hypotheses single 2D observation. It gradually diffuses ground truth poses to random distribution, and learns denoiser conditioned on keypoints recover uncontaminated poses. The compatible existing estimators supports users balance efficiency...

Recently, the demand for data center computing has surged, increasing total energy footprint of centers worldwide. Data typically comprise three subsystems: IT equipment provides services to customers; power infrastructure supports and cooling equipment; removes heat generated by these subsystems. This work presents a novel approach model flows in optimize its operation. Traditionally, supply-side constraints such as or availability were treated independently from workload management....

As the computing power of modern hardware is increasing strongly, pre-trained deep learning models (e.g., BERT, GPT-3) learned on large-scale datasets have shown their effectiveness over conventional methods. The big progress mainly contributed to representation ability transformer and its variant architectures. In this paper, we study low-level computer vision task denoising, super-resolution deraining) develop a new model, namely, image processing (IPT). To maximally excavate capability...

Programmable packet scheduling enables algorithms to be programmed into the data plane without changing hardware. Existing proposals either have no hardware implementations for switch ASICs or require multiple strict-priority queues.

Modern deep learning frameworks support a variety of hardware, including CPU, GPU, and other accelerators, to perform computation. In this paper, we study how schedule jobs over such interchangeable resources - each with different rate computation optimize performance while providing fairness among users in shared cluster. We demonstrate theoretically empirically that existing solutions their straightforward modifications poorly the presence resources, which motivates design implementation...

Wireless communication is susceptible to radio interference and jamming attacks, which prevent the reception of communications. Most existing anti-jamming work does not consider location information interferers jammers. However, this can provide important insights for networks manage its resource defend against interference. In paper, we explore methods localize in wireless networks. We first exploit feasibility using two range-free localization algorithms, centroid (CL) weighted (WCL),...

Internet of Things has remarkable effects in human's daily life. It is important for users and sensors to securely access data collected by low-cost via real-time IoT applications. There exist many authentication protocols guaranteeing secure communication between sensors. However, some protocols, the privacy unattended subjected capture node attacks cannot be guaranteed. Moreover, physical tampering can still execute normally process. Besides, an protocol should lightweight due restricted...

Emerging virtual network functions (VNFs) bring new opportunities to services on the edge within customers' premises. Network are realized by chained up VNFs, which called service function chains (SFCs). These deployed commercial servers for higher flexibility and scalability. Despite such promises, it is still unclear how provide highly available cost-effective SFCs under resource limitations time-varying VNF failures. In this paper, we propose a novel Reliability-aware Adaptive Deployment...

Quantum networks are considered as a promising future platform for quantum information exchange and applications, which have capabilities far beyond the traditional communication networks. Remote entanglement is an essential component of network. How to efficiently design multi-routing protocol fundamental yet challenging problem. In this paper, we study routing problem simultaneously maximize number quantum-user pairs their expected throughput. Our approach formulate two sequential integer...

Today's network is notorious for its complexity and uncertainty. Network operators often rely on models to achieve efficient planning, operation, optimization. The model responsible understanding the complex relationships between performance metrics (e.g., latency) characteristics traffic). However, we still lack a systematic approach developing accurate lightweight that are aware of impact configurations (i.e., expressiveness) provide fine-grained flow-level temporal predictions...

Compact neural networks are specially designed for applications on edge devices with faster inference speed yet modest performance. However, training strategies of compact models borrowed from that conventional at present, which ignores their difference in model capacity and thus may impede the performance models. In this paper, by systematically investigating impact different ingredients, we introduce a strong strategy We find appropriate designs re-parameterization knowledge distillation...

The fast development of virtual network functions (VNFs) brings new opportunities to service deployment on edge networks. For complicated services, VNFs can chain up form function chains (SFCs). Despite the promises, it is still not clear how backup minimize cost while meeting SFC availability requirements in an online manner. In this paper, we propose a novel self-adapting scheme named SAB efficiently over both and cloud. Specifically, uses static backups dynamic ones created fly...

Mobile edge computing is becoming one of the ubiquitous paradigms to support applications requiring low latency and high capability. FPGA-based reconfigurable accelerators have energy efficiency compared general-purpose servers. Therefore, it natural incorporate in mobile systems. This paper formulates studies problem joint task offloading, access point selection, resource allocation heterogeneous environments for minimization. Due heterogeneity devices coupling between decisions,...

Jamming attacks are especially harmful to the reliability of wireless communication, as they can effectively disrupt communication between any node pairs. Existing jamming defenses primarily focus on repairing connectivity adjacent nodes. In this paper, we address at network level and restoring end-to-end data delivery through multipath routing. As long all paths do not fail concurrently, path availability is maintained. Prior work in selection improves routing by choosing node-disjoint or...

The fast development of mobile edge computing (MEC) and service virtualization brings new opportunities to the deployment interactive applications, e.g., VR education, stream gaming, autopilot assistance, at network for better performance. Ensuring quality experience (QoE) such services often requires satisfaction multiple (QoS) factors, short delay, high throughput rate, low packet loss. Nevertheless, existing networks fail meet these requirements due mobility end users volatility...

The rise of real-time reader interaction in Chinese web novels has revolutionized digital storytelling, transforming it from a traditionally author-driven process into highly dynamic and audience-influenced medium. Unlike conventional literature, where narratives are predetermined, novelists frequently adjust plot structure, pacing, character development based on feedback. This paper explores the various mechanisms interaction, including comment sections, bullet chats, voting systems,...