Monitoring plays a significant role in improving the quality of service cloud computing. It helps clouds to scale resource utilization adaptively, identify defects services for developers, and discover usage patterns numerous end users. However, due heterogeneity components complexity arising from wealth runtime information, monitoring faces many new challenges. In this paper, we propose model (RMCM), which denotes an intuitive representation running by focusing on common concerns. Raw data...

Abstract The complex [Ba 3 (sip) 2 (H O) 9 ] · H O ( 1 ) (NaH sip = 5‐sulfoisophthalic acid sodium) was synthesized and characterized by single‐crystal X‐ray diffraction. Structural determination reveals that the asymmetric unit in contains two crystallographically independent Ba II atoms. Ba1 atom is eight‐coordinate with distorted monocapped pentagonal bipyramidal arrangement, whereas Ba2 ten‐coordinated bicapped tetragonal prismatic arrangement. carboxylate groups of 3– adopt different...

Gemini supramolecular complexes based on proton-transfer hydrogen bonding self-assemble into vesicles and micelles.

SaaS (Software as a Service) has been widely recognized new kind of service. Meanwhile, PaaS (Platform is emerging in recent years. The management service on platform quite different from that traditional services. This paper analyzed the activities and proposed an intuitive easy approach to such deploying, monitoring controlling. All these can be taken by developers themselves. Based approach, flexible scalable self-management framework implemented. key characteristics are using static...

Abstract The ABX 3 ‐type organic‐inorganic hybrid compound CH NH ZnI is grown by a liquid diffusion method in methylbenzene solution for the first time. as prepared samples are characterized single crystal diffraction, XRD, Infrared (IR) and Raman spectra, TG, UV‐Vis PL respectively. results indicate that demonstrated monoclinic system with space group P2 1 /n at room temperature. And sample presents relatively good thermal stability until 270 °C wide band gap of about 3.88 eV. Besides, when...

Traditional data stream analysis focused mainly on the protocol and content of stream, which ignored behavior information delegated by scenario. This paper proposes a user method based network Aiming at characteristic we model user's access in formalization express behaviors graph. On this basis, abstract out patterns aggregating contracting graph into clusters, identify matching pattern. The experiment results show that demand is able to meet with lower false rate missing rate.

As an emerging measure of data freshness, the age information (AoI) is receiving extensive attention. Many methods using AoI have been proposed for communication scheduling in Internet Things (IoT). However, most them are aimed at constant channel conditions ideal state, and utilization link resources not sufficient. In addition, only optimization considered, without considering whether sample extruded. Sample extrusion refers to scenario which transmission remaining untransmitted source...

Abstract A coordination polymer [Ba(pcmb)(H 2 O) 2.5 ] ( 1 ) was obtained by self‐assembly of the corresponding metal carbonate with a flexible ligand, p ‐(carboxyl‐methyloxy)‐benzenecarboxylic acid (H pcmb), and its structure determined single‐crystal X‐ray diffraction studies. The result revealed that complex has three‐dimensional structure, in which barium(II) atom takes distorted eight‐coordinate bicapped anti ‐prism arrangement. pcmb 2– anion acts as μ 4 ‐bridge carboxylate groups adopt...

Elastic resource management is one of the key characteristics cloud computing systems. Existing elastic approaches focus mainly on single consumption such as CPU consumption, rarely considering comprehensively various features applications. Applications deployed a PaaS are usually heterogeneous. While sharing same resource, these applications quite different in consuming. How to deploy heterogeneous smallest size hardware thus becomes new research topic. In this paper, we take into...

Models derived from other models are extremely common in machine learning (ML) today. For example, transfer is used to create task-specific "pre-trained" through finetuning. This has led an ecosystem where related each other, sharing structure and often even parameter values. However, it hard manage these model derivatives: the storage overhead of storing all quickly becomes onerous, prompting users get rid intermediate that might be useful for further analysis. Additionally, undesired...

Recent advances in AI-generated voices have intensified the challenge of detecting deepfake audio, posing risks for scams and spread disinformation. To tackle this issue, we establish largest public voice dataset to date, named DeepFakeVox-HQ, comprising 1.3 million samples, including 270,000 high-quality samples from 14 diverse sources. Despite previously reported high accuracy, existing detectors struggle with our diversely collected dataset, their detection success rates drop even further...

The amount of data in the internet things (IoT) system is increasing, but channel capacity limited. In order to make full use resources, it urgent find a suitable resource allocation and transmission rate selection algorithm. Most existing methods reduce age information (AoI) blindly, regardless whether sample has coverage problems at source node. this paper, we establish two mathematical models for AoI coverage, an improved method based on greedy strategy proposed. algorithm can reasonably...