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Verifying Resource Requirements for distributed Rule-Based Systems

Verifying Resource Requirements for Distributed Rule-Based S...

引用

Joint Conference of the international symposium on Rule Interchange and applications / 11th international business Rules Forum

作者： Alechina, Natasha Logan, Brian Nga, Nguyen Hoang Rakib, Abdur Univ Nottingham Nottingham NG7 2RD England

ISBN: (纸本)9783540888079

Rule-based systems are rapidly becoming an important component of 'mainstream' computing technologies, for example in business process modelling, the semantic web, sensor networks etc. However, while rules provide a flexible way of implementing such systems, the resulting system behaviour and the resources required to realise it can be difficult to predict. In this paper we consider the verification of system behaviour and resource requirements for distributed rule-based systems. More specifically, we consider distributed problem-solving in systems of communicating rule-based systems, and ask how much time (measured as the number of rule firings) and message exchanges does it take the system to find a solution. We show how standard model-checking technology can be used to verify resource requirements for such systems, and present preliminary results which highlight complex tradeoffs between time and communication bounds.

关键词： Sensor networks

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ADSwitch: Adaptive CPU Scheduling for distributed Systems 21

ADSwitch: Adaptive CPU Scheduling for Distributed Systems

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21st IEEE international symposium on Parallel and distributed Processing with applications, 13th IEEE international Conference on Big Data and Cloud computing, 16th IEEE international Conference on Social computing and Networking and 13th international Conference on Sustainable computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2023

作者： Zhong, Yidong Ao, Yang Li, Dingding Li, Jianguo Zeng, Deze South China Normal University School of Computer Science Guangdong Guangzhou510631 China China University of Geosciences School of Computer Science Hubei Wuhan430074 China

ISBN: (纸本)9798350329223

In traditional CPU scheduling systems, it is challenging to customize scheduling policies for datacenter workloads. Therefore, distributed cluster managers can only perform coarse-grained job scheduling rather than fine-grained CPU scheduling, although the latter is also critical to application performance in the clusters. Some scheduling systems have been proposed to facilitate the implementation and deployment of custom policies. However, these systems neither adequately capture the resource requirements of workloads nor cooperatively manage the CPU scheduling of distributed nodes, thus may failing to fully utilize CPU resources in the clusters. To tackle these issues, we present ADSwitch, a distributed CPU scheduling system that manages CPU resources adaptively in datacenter clusters. We train an efficient workload classification model based on a recurrent neural network (RNN), which enables ADSwitch to dynamically identify the demand of the running workload and switch to an appropriate scheduling policy through a reliable online update mechanism. We implement ADSwitch and evaluate it in a distributed cluster with synthetic workloads. The experimental results demonstrate that ADSwitch achieves up to 33% lower tail latency and 28% higher throughput than the existing scheduling systems without workload characteristic awareness. © 2023 IEEE.

关键词： Recurrent neural networks

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File-access patterns of data-intensive workflow applications and their implications to distributed filesystems 10

File-access patterns of data-intensive workflow applications...

引用

Proceedings of the 19th ACM international symposium on High Performance distributed computing

作者： Shibata, Takeshi Choi, Sung Jun Taura, Kenjiro University of Tokyo Department of Information and Communication Engineering Graduate School of Information Science and Technology Japan

ISBN: (纸本)9781605589428

This paper studies five real-world data intensive workflow applications in the fields of natural language processing, astronomy image analysis, and web data analysis. Data intensive workflows are increasingly becoming important applications for cluster and Grid environments. They open new challenges to various components of workflow execution environments including job dispatchers, schedulers, file systems, and file staging tools. The keys to achieving high performance are efficient data sharing among executing hosts and locality-aware scheduling that reduces the amount of data transfer. While much work has been done on scheduling workflows, many of them use synthetic or random workload. As such, their impacts on real workloads are largely unknown. Understanding characteristics of real-world workflow applications is a required step to promote research in this area. To this end, we analyse real-world workflow applications focusing on their file access patterns and summarize their implications to schedulers and file system/staging designs. Copyright 2010 ACM.

关键词： Scheduling

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System support for adaptive real-time computing

System support for adaptive real-time computing

引用

international Parallel and distributed Processing symposium, IPDPS 2003

作者： Niehaus, Douglas Information and Telecommunication Technology Center Electrical Engineering and Computer Science Department University of Kansas United States

ISBN: (纸本)0769519261

Next generation distributed real-time embedded systems will have to satisfy an increasingly complex set of requirements. Among the most interesting will be the need for application programs to adapt to changing conditions, maximizing the amount of work they accomplish in the face of unpredictable demands. The work described in this paper implemented several new system services in support of such adaptive behavior in a dynamic target tracking testbed environment. The lessons learned were applicable to many emerging DRE applications, and can serve as guide for future development. © 2003 IEEE.

关键词： Target tracking

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A Physics-Informed Integrated Modeling Method for Lithium-ion Batteries 21

A Physics-Informed Integrated Modeling Method for Lithium-io...

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作者： Fan, Yunsheng Huang, Zhiwu Guan, Kaifu Shu, Boyu Liu, Yongjie Zhu, Zeyu He, Peinan Li, Shuo Central South University School of Automation Changsha China Central South University School of Computer Science and Engineering Changsha China Changsha University of Science and Technology School of Electronic Information and Electrical Engineering Changsha China

ISBN: (纸本)9798350329223

Battery models play a crucial role in battery management systems, describing the inner workings of batteries. However, offline models cannot adapt to the battery parameter degradation. To address this issue, a physics-informed integrated battery model combines equivalent electrical circuits and a neural network regression model is proposed. Electrical circuits capture essential battery electricity behaviors while a regression model with the recurrent neural network is employed to simulate the nonlinear open circuit voltage (OCV). The regression model is trained using unlabeled learning and the parameters of the electrical circuit are identified online. Finally, the proposed battery model is validated with a cubature Kalman filter. Extensive experiments confirmed that the proposed modeling method outperforms other methods with Less than 1.66% RMSE in SOC estimation. © 2023 IEEE.

关键词： Kalman filters

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Benefits of software rejuvenation on HPC systems

Benefits of software rejuvenation on HPC systems

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IEEE international symposium on Parallel and distributed Processing With applications

作者： Naksinehaboon, Nichamon Taerat, Narate Leangsuksun, Chokchai Chandler, Clayton F. Scott, Stephen L. College of Engineering and Science Louisiana Tech. University Ruston LA 71270 United States Computer Science and Mathematics Division Oak Ridge National Laboratory Oak Ridge TN 37831 United States

ISBN: (纸本)9780769541907

Rejuvenation is a technique expected to mitigate failures in HPC systems by replacing, repairing, or resetting system components. Because of the small overhead required by software rejuvenation, we primarily focus on OS/kernel rejuvenation. In this paper, we propose three rejuvenation scheduling techniques. Moreover, we investigate the claim that software rejuvenation prolongs failure times in HPC systems. Also, we compare the lost computing times of the checkpoint/restart mechanism with and without rejuvenation after each checkpoint. © 2010 IEEE.

关键词： Endocrinology

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Workflow fine-grained concurrency with automatic continuation 20

Workflow fine-grained concurrency with automatic continuatio...

引用

20th IEEE international Parallel and distributed Processing symposium, IPDPS 2006

作者： Tretola, Giancarlo Zimeo, Eugenio University of Sannio Department of Engineering Benevento 82100 Italy University of Sannio Research Centre on Software Technology Benevento 82100 Italy

ISBN: (纸本)1424400546

Workflow enactment systems are becoming an effective solution to ease programming, deployment and execution of distributed applications in several domains such as telecommunication, manufacturing, e-business, e-government and grid computing. In some of these fields, efficiency and traffic optimization represent key aspects for a wide diffusion of workflow engines and modeling tools. This paper focuses on a technique that enables fine-grained concurrency in compute and data-intensive workflows and reduces the traffic on the network by limiting the number of interactions to the ones strictly needed to bring the data where they are really necessary for continuing the flow of computations. We implemented this technique by using the concepts of wait by necessity and automatic continuation and we integrated it in a flexible, Java workflow engine that through the new mechanisms is able to navigate a workflow anticipating the enactment of sequential activities. © 2006 IEEE.

关键词： Concurrent engineering

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Comparison of several cloud computing platforms

Comparison of several cloud computing platforms

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2009 2nd international symposium on Information science and engineering, ISISE 2009

作者： Peng, Junjie Zhang, Xuejun Lei, Zhou Zhang, Bofeng Zhang, Wu Li, Qing School of Computer Science and High Performance Computing Center Shanghai University Shanghai 200072 China Qinghua Machinery Factory at Changzhi Changzhi 046012 China

ISBN: (纸本)9780769539911

Cloud computing is the development of parallel computing, distributed computing and grid computing. It has been one of the most hot research topics. Now many corporations have involved in the cloud computing related techniques and many cloud computing platforms have been put forward. This is a favorable situation to study and application of cloud computing related techniques. Though interesting, there are also some problems for so many flatforms. For to a novice or user with little knowledge about cloud computing, it is still very hard to make a reasonable choice. What differences are there for different cloud computing platforms and what characteristics and advantages each has? To answer these problems, the characteristics, architectures and applications of several popular cloud computing platforms are analyzed and discussed in detail. From the comparison of these platforms, users can better understand the different cloud platforms and more reasonablely choose what they want. © 2009 IEEE.

关键词： Virtualization

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Code migration control in large scale loosely coupled distributed systems 07

Code migration control in large scale loosely coupled distri...

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4th international Conference on Mobile Technology, applications and Systems, Mobility 2007, Incorporating the 1st international symposium on Computer Human Interaction in Mobile Technology, IS-CHI 2007

作者： Yoshida, Makoto Sakamoto, Kenji Department of Information and Computer Engineering Okayama University of Science Okayama Japan Graduate School of Information and Computer Engineering Okayama University of Science Okayama Japan

ISBN: (纸本)9781595938190

Large scale loosely coupled PCs can organize a cluster and form the grid computing on sharing each processing power;power of PCs, code migration and transaction distribution characterize the performance of distributed systems. This paper describes object code migration control mechanism in large scale loosely coupled distributed systems. The prototype of the middleware which migrates object code for computing is implemented, and the tradeoff of code migration was observed. Based on these experiments, several simulations for large scale loosely coupled PC clusters were performed, and the methodology to control code migration to have stable response time in the system is derived. The mechanism for object code migration is proposed based on the results of the simulations. The result will be applied to design the grid computing systems and mobile systems to maintain the proper performance. Copyright 2007 ACM.

关键词： Middleware

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A new virtualized environment for application deployment based on docker and AWS

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international Conference on Information science and applications, ICISA 2016

作者： Tihfon, Gemoh Maliva Kim, Jinsul Kim, Kuinam J. School of Electronics and Computer Engineering Chonnam National University Gwangju500-757 Korea Republic of Convergence Security Department Kyonggi University SuwonGyonggi-Do Korea Republic of

ISBN: (纸本)9789811005565

The setup environment and deployment of distributed applications is a human intensive and highly complex process that poses significant challenges. Nowadays many applications are developed in the cloud and existing applications are migrated to the cloud because of the promising advantages of cloud computing. The very core of cloud computing is virtualization. In this paper, we will look at application deployment with Docker. Docker is a lightweight containerization technology that has gained widespread popularity in recent years. It uses a host of the Linux kernel’s features such as namespaces and croup’s to sandbox processes into configurable virtual environments. Presenting two common serious challenging scenarios in the software development environment, we propose a multi-task PaaS cloud infrastructure using Docker and AWS services for application isolation/optimization and rapid deployment of distributed applications. © Springer science+business Media Singapore 2016.

关键词： Cloud computing

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