Network slicing has been widely agreed as a promising technique to accommodate diverse services for the Industrial Internet of Things (IIoT). Smart transportation, smart energy, and factory/manufacturing are three key form backbone IIoT. management is paramount importance in face IIoT with diversified requirements. It important have comprehensive survey on intelligent network provide guidance future research this field. In paper, we thorough investigation analysis its general use cases well...

Network slicing has emerged as a promising networking paradigm to provide resources tailored for Industry 4.0 and diverse services in 5G networks. However, the increased network complexity poses huge challenge management due virtualized infrastructure stringent quality-of-service requirements. Digital twin (DT) technology paves way achieving cost-efficient performance-optimal management, through creating virtual representation of slicing-enabled networks digitally simulate its behaviors...

Content caching is a promising approach in edge computing to cope with the explosive growth of mobile data on 5G networks, where contents are typically placed local caches for fast and repetitive access. Due capacity limit caches, it essential predict popularity files cache those popular ones. However, fluctuated makes prediction highly challenging task. To tackle this challenge, many recent works propose learning based approaches which gather users' centrally training, but they bring...

Software-Defined Networking (SDN) is an emerging architecture for the next-generation Internet, providing unprecedented network programmability to handle explosive growth of big data driven by popularisation smart mobile devices and pervasiveness content-rich multimedia applications. In order quantitatively investigate performance characteristics SDN networks, several research efforts from both simulation experiments analytical modelling have been reported in current literature. Among those...

Network function virtualization (NFV) has been considered as a promising technology for future Internet to increase the network flexibility, accelerate service innovation, and reduce Capital Expenditures Operational costs through migrating functions from dedicated devices commodity hardware. Recent studies reveal that although this migration of brings operation unprecedented flexibility controllability, NFV-based architecture suffers serious performance degradation compared with traditional...

Accurate greenhouse gas (GHG) concentration forecasting is pivotal for evaluating climate policies, yet existing models face challenges in capturing multi-scale temporal patterns. To address this limitation, we propose MGGTSP-CAT, a novel multi-encoder framework that integrates daily and monthly data through an Input Attention encoder Autoformer encoder, enhanced by Temporal mechanism. Evaluated on NOAA datasets spanning five decades from Mauna Loa, Barrow, American Samoa, Antarctica,...

The reasoning capabilities of advanced large language models (LLMs) like o1 have revolutionized artificial intelligence applications. Nevertheless, evaluating and optimizing complex processes remain significant challenges due to diverse policy distributions the inherent limitations human effort accuracy. In this paper, we present AURORA, a novel automated framework for training universal process reward (PRMs) using ensemble prompting reverse verification. employs two-phase approach: First,...

Accurate forecasting of greenhouse gas (GHG) concentrations is crucial for climate policy evaluation, mitigation strategy formulation, and global sustainable development. Precise predictions GHG provide early warnings critical thresholds, enabling proactive adjustments, industrial transitions, timely societal actions to ensure long-term ecological security the well-being future generations. Current modeling approaches face challenges in capturing multi-scale temporal patterns data, with...

Software Defined Networking (SDN) is an emerging key innovative technology towards next-generation Internet. Through decoupling the control plane from data forwarding plane, SDN able to significantly simplify network management and accelerate flexible deployment. Many research efforts have recently been devoted improving performance of SDN. The majority them, however, focused on exploring capacity logically centralised controllers in but pay less attention quantitatively investigating...

The paper syncretizes the fundamental concept of Sea Computing model in Internet Things and routing protocol wireless sensor network, proposes a new CASCR (Context-Awareness Routing Protocol) for Things, based on context-awareness which belongs to key technologies Things. Furthermore, describes details work flow, data structure quantitative algorithm so on. Finally, simulation is given analyze performance CASCR. Theoretical analysis experiment verify that has higher energy efficient longer...

Seven deflagration tests of a propane-air mixture were carried out in 22.5 m3 large-scale chamber. The effects initial volume, gas concentration, and turbulence intensity on characteristics analyzed. main frequency the explosion wave was quantitatively determined by combination wavelet transform energy spectrum analysis. results show that explosive overpressure is formed discharge combustion products secondary combustion, concentration are higher than volume. Under condition weak turbulence,...

Flying devices, e.g., Unmanned Aerial Vehicles (UAV) and High Altitude Platforms (HAP) are showing great potentials to revolutionise human society with unprecedented efficiency convenience. 5G beyond (5 GB) networks have been considered as an important infrastructure for supporting flying devices accomplish mission-critical applications. However, most of the existing research on 5 GB mainly focuses technology evolution support ground paying insufficient attention emerging large-scale...

A large number of distributed applications necessitate accurate network distance, for example, in the form delay or latency, to ensure Quality Service (QoS). Due high measurement overhead and severe traffic congestion, distance prediction has been introduced, instead direct measurements, infer unknown with partial measurements. However, most existing efforts neglect fully capitalize on potential latent factors, such as spatial correlations, long-existing temporal results multi-rule...

This paper introduces Grounded Image Text Matching with Mismatched Relation (GITM-MR), a novel visual-linguistic joint task that evaluates the relation understanding capabilities of transformer-based pre-trained models. GITM-MR requires model to first determine if an expression describes image, then localize referred objects or ground mismatched parts text. We provide benchmark for evaluating vision-language (VL) models on this task, focus challenging settings limited training data and...

Despite recent success of deep network-based Reinforcement Learning (RL), it remains elusive to achieve human-level efficiency in learning novel tasks. While previous efforts attempt address this challenge using meta-learning strategies, they typically suffer from sampling inefficiency with on-policy RL algorithms or meta-overfitting off-policy learning. In work, we propose a meta-RL strategy those limitations. particular, decompose the problem into three sub-tasks, task-exploration,...

With the explosive growth of multimedia applications, heterogeneous cellular networks (HetNets) are widely deployed to meet increasingly impressing demands on communication capacity. However, supporting massive real-time traffic generated by always-on applications in HetNets causes enormous energy consumptions. The tradeoff between consumptions and profits service providers while maintaining satisfied quality-of-service (QoS) has become a significant objective. To this end, paper proposes...

Information-centric networking (ICN) is an emerging paradigm that decouples content from the host to achieve fast and cost-efficient communication distribution in future Internet. A key feature of ICN deployment ubiquitous in-network caching speed up service delivery improve network resource utilisation. has been widely studied terms strategies performance. However, economic aspect received marginal consideration so far, although it vital understand potential cost- efficiency before its wide...