scholarly journals Enhancement of observability using Kubernetes operator

2022 ◽  
Vol 25 (1) ◽  
pp. 496
Author(s):  
Prerana Shenoy S. P. ◽  
Sai Vishnu Soudri ◽  
Ramakanth Kumar P. ◽  
Sahana Bailuguttu
Keyword(s):  
The State ◽  
Processing Unit ◽  
Memory Usage ◽  
Central Processing ◽  
Network Bandwidth ◽  
Cpu Utilization ◽  
Automated Monitoring System ◽  
And Migration ◽  
The Stability ◽  
Do So

Observability is the ability for us to monitor the state of the system, which involves monitoring standard metrics like central processing unit (CPU) utilization, memory usage, and network bandwidth. The more we can understand the state of the system, the better we can improve the performance by recognizing unwanted behavior, improving the stability and reliability of the system. To achieve this, it is essential to build an automated monitoring system that is easy to use and efficient in its working. To do so, we have built a Kubernetes operator that automates the deployment and monitoring of applications and notifies unwanted behavior in real time. It also enables the visualization of the metrics generated by the application and allows standardizing these visualization dashboards for each type of application. Thus, it improves the system's productivity and vastly saves time and resources in deploying monitored applications, upgrading Kubernetes resources for each application deployed, and migration of applications.

scholarly journals Real-Time 3D Reconstruction of Thin Surface Based on Laser Line Scanner

Sensors ◽  
2020 ◽  
Vol 20 (2) ◽  
pp. 534 ◽  
Author(s):  
Yuan He ◽  
Shunyi Zheng ◽  
Fengbo Zhu ◽  
Xia Huang
Keyword(s):  
3D Reconstruction ◽  
Real Time ◽  
Laser Line ◽  
Frame Rate ◽  
Processing Unit ◽  
Memory Usage ◽  
Central Processing ◽  
Time Performance ◽  
Topological Errors ◽  
Line Scanner

The truncated signed distance field (TSDF) has been applied as a fast, accurate, and flexible geometric fusion method in 3D reconstruction of industrial products based on a hand-held laser line scanner. However, this method has some problems for the surface reconstruction of thin products. The surface mesh will collapse to the interior of the model, resulting in some topological errors, such as overlap, intersections, or gaps. Meanwhile, the existing TSDF method ensures real-time performance through significant graphics processing unit (GPU) memory usage, which limits the scale of reconstruction scene. In this work, we propose three improvements to the existing TSDF methods, including: (i) a thin surface attribution judgment method in real-time processing that solves the problem of interference between the opposite sides of the thin surface; we distinguish measurements originating from different parts of a thin surface by the angle between the surface normal and the observation line of sight; (ii) a post-processing method to automatically detect and repair the topological errors in some areas where misjudgment of thin-surface attribution may occur; (iii) a framework that integrates the central processing unit (CPU) and GPU resources to implement our 3D reconstruction approach, which ensures real-time performance and reduces GPU memory usage. The proposed results show that this method can provide more accurate 3D reconstruction of a thin surface, which is similar to the state-of-the-art laser line scanners with 0.02 mm accuracy. In terms of performance, the algorithm can guarantee a frame rate of more than 60 frames per second (FPS) with the GPU memory footprint under 500 MB. In total, the proposed method can achieve a real-time and high-precision 3D reconstruction of a thin surface.

Trust and Modernity

2012 ◽  
Author(s):  
Jan Philipp Reemtsma
Keyword(s):  
Functional Differentiation ◽  
The State ◽  
Legal Rights ◽  
Legal Regulations ◽  
Mutual Trust ◽  
Or Groups ◽  
State Monopoly ◽  
The Stability ◽  
Do So

This chapter argues that modernity's trust in the whole consists in the whole not entering the equation. We still trust in the whole, but the preservation of that whole rests on everyone's shoulders. Trust in the stability of functional differentiation is not something modernity can demand; and any attempt to do so is rendered harmless by its own absurdity. Modern trust rests on the belief that the absence of such a demand is guaranteed. This guarantee arises from legal regulations that enable us to meet one another as parties to a contract, as beneficiaries of certain legal rights. The state monopoly on violence enforces these legal regulations, producing a society in which individuals or groups are forbidden from using violence to settle their disputes, and punished if they do. This sense of mutual trust—the expectation of nonviolence in one's interactions—is a consequence of the monopoly on violence, but it is also its prerequisite.

Machine Learning Enabled Adaptive Optimization of a Transonic Compressor Rotor With Precompression

2019 ◽  
Vol 141 (5) ◽  
Author(s):  
Michael Joly ◽  
Soumalya Sarkar ◽  
Dhagash Mehta
Keyword(s):  
Machine Learning ◽  
Design Space Exploration ◽  
Surrogate Models ◽  
Processing Unit ◽  
Adaptive Optimization ◽  
Transonic Compressor ◽  
Central Processing ◽  
Compressor Rotor ◽  
Self Tuning ◽  
The Stability

In aerodynamic design, accurate and robust surrogate models are important to accelerate computationally expensive computational fluid dynamics (CFD)-based optimization. In this paper, a machine learning framework is presented to speed-up the design optimization of a highly loaded transonic compressor rotor. The approach is threefold: (1) dynamic selection and self-tuning among several surrogate models; (2) classification to anticipate failure of the performance evaluation; and (3) adaptive selection of new candidates to perform CFD evaluation for updating the surrogate, which facilitates design space exploration and reduces surrogate uncertainty. The framework is demonstrated with a multipoint optimization of the transonic NASA rotor 37, yielding increased compressor efficiency in less than 48 h on 100 central processing unit cores. The optimized rotor geometry features precompression that relocates and attenuates the shock, without the stability penalty or undesired reacceleration usually observed in the literature.

State Estimation Based on Ensemble DA–DSVM in Power System

2019 ◽  
Vol 29 (05) ◽  
pp. 653-669
Author(s):  
Shunjiang Wang ◽  
Baoming Pu ◽  
Ming Li ◽  
Weichun Ge ◽  
Qianwei Liu ◽  
...  
Keyword(s):  
Power Systems ◽  
Power System ◽  
State Estimation ◽  
Graphics Processing Unit ◽  
Estimation Algorithm ◽  
The State ◽  
Support Vector ◽  
Processing Unit ◽  
Central Processing ◽  
Calculation Results

This paper investigates the state estimation problem of power systems. A novel, fast and accurate state estimation algorithm is presented to solve this problem based on the one-dimensional denoising autoencoder and deep support vector machine (1D DA–DSVM). Besides, for further reducing the computation burden, a partitioning method is presented to divide the power system into several sub-networks and the proposed algorithm can be applied to each sub-network. A hybrid computing architecture of Central Processing Unit (CPU) and Graphics Processing Unit (GPU) is employed in the overall state estimation, in which the GPU is used to estimate each sub-network and the CPU is used to integrate all the calculation results and output the state estimate. Simulation results show that the proposed method can effectively improve the accuracy and computational efficiency of the state estimation of power systems.

scholarly journals Empirical Performance and Energy Consumption Evaluation of Container Solutions on Resource Constrained IoT Gateways

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1378
Author(s):  
Syed M. Raza ◽  
Jaeyeop Jeong ◽  
Moonseong Kim ◽  
Byungseok Kang ◽  
Hyunseung Choo
Keyword(s):  
Energy Consumption ◽  
Detection System ◽  
Processing Unit ◽  
Memory Usage ◽  
Resource Constrained ◽  
Service Architecture ◽  
Central Processing ◽  
Empirical Performance ◽  
Iot Devices ◽  
Container Orchestration

Containers virtually package a piece of software and share the host Operating System (OS) upon deployment. This makes them notably light weight and suitable for dynamic service deployment at the network edge and Internet of Things (IoT) devices for reduced latency and energy consumption. Data collection, computation, and now intelligence is included in variety of IoT devices which have very tight latency and energy consumption conditions. Recent studies satisfy latency condition through containerized services deployment on IoT devices and gateways. They fail to account for the limited energy and computing resources of these devices which limit the scalability and concurrent services deployment. This paper aims to establish guidelines and identify critical factors for containerized services deployment on resource constrained IoT devices. For this purpose, two container orchestration tools (i.e., Docker Swarm and Kubernetes) are tested and compared on a baseline IoT gateways testbed. Experiments use Deep Learning driven data analytics and Intrusion Detection System services, and evaluate the time it takes to prepare and deploy a container (creation time), Central Processing Unit (CPU) utilization for concurrent containers deployment, memory usage under different traffic loads, and energy consumption. The results indicate that container creation time and memory usage are decisive factors for containerized micro service architecture.

A Design and Implementation of Bootloader Based on MPC8280

2014 ◽  
Vol 668-669 ◽  
pp. 592-597
Author(s):  
Ling Wang ◽  
Xin Chen
Keyword(s):  
Operating System ◽  
Flight Control ◽  
Vital Role ◽  
Processing Unit ◽  
Flight Control System ◽  
Central Processing ◽  
Control Computer ◽  
Aerial Vehicle ◽  
Software Code ◽  
The Stability

The core unit of the flight control system being the central part of the Unmanned Aerial Vehicle (UAV) system is the flight control computer playing a vital role in the stability and security of the entire system, which has fast and reliable requirements for system startup. Bootloader is the first section of software code that runs after powering on, mainly responsible for initializing hardware devices. By loading an application or operating system kernel, the bootloader completes the system startup. Based on MPC8280 processor’s hardware platform of the central processing unit of distributed flight control computer, this paper designs and implements a non-operating system boot scheme. Under the boot scheme, an optimal boot scheme aiming at increasing efficiency of software development for VxWorks operating system is provide.

scholarly journals Failure Analysis of Direct Liquid Cooling System in Data Centers

2018 ◽  
Vol 140 (2) ◽  
Author(s):  
Sami Alkharabsheh ◽  
Udaya L. N. Puvvadi ◽  
Bharath Ramakrishnan ◽  
Kanad Ghose ◽  
Bahgat Sammakia
Keyword(s):  
Cooling System ◽  
Processing Unit ◽  
System Failure ◽  
Liquid Cooling ◽  
Central Processing ◽  
Chip Temperature ◽  
Cpu Utilization ◽  
Speed Change ◽  
Liquid Cooling System ◽  
The Impact

In this paper, the impact of direct liquid cooling (DLC) system failure on the information technology (IT) equipment is studied experimentally. The main factors that are anticipated to affect the IT equipment response during failure are the central processing unit (CPU) utilization, coolant set point temperature (SPT), and the server type. These factors are varied experimentally and the IT equipment response is studied in terms of chip temperature and power, CPU utilization, and total server power. It was found that failure of this cooling system is hazardous and can lead to data center shutdown in less than a minute. Additionally, the CPU frequency throttling mechanism was found to be vital to understand the change in chip temperature, power, and utilization. Other mechanisms associated with high temperatures were also observed such as the leakage power and the fans' speed change. Finally, possible remedies are proposed to reduce the probability and the consequences of the cooling system failure.

A Re-Appraisal of the Role of Blood Coagulation and Platelets in the Generalized Shwartzman Phenomenon

1966 ◽  
Vol 15 (03/04) ◽  
pp. 519-538 ◽  
Author(s):  
J Levin ◽  
E Beck
Keyword(s):  
Blood Coagulation ◽  
The State ◽  
Coagulation System ◽  
Renal Lesions ◽  
Intravascular Coagulation ◽  
Renal Glomeruli ◽  
Coagulation Mechanism ◽  
Shwartzman Phenomenon ◽  
Do So

SummaryThe role of intravascular coagulation in the production of the generalized Shwartzman phenomenon has been evaluated. The administration of endotoxin to animals prepared with Thorotrast results in activation of the coagulation mechanism with the resultant deposition of fibrinoid material in the renal glomeruli. Anticoagulation prevents alterations in the state of the coagulation system and inhibits development of the renal lesions. Platelets are not primarily involved. Platelet antiserum produces similar lesions in animals prepared with Thorotrast, but appears to do so in a manner which does not significantly involve intravascular coagulation.The production of adrenal cortical hemorrhage, comparable to that seen in the Waterhouse-Friderichsen syndrome, following the administration of endotoxin to animals that had previously received ACTH does not require intravascular coagulation and may not be a manifestation of the generalized Shwartzman phenomenon.

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