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A Software Licenses Aware Job Scheduling and Management Approach on Multiclusters 19

A Software Licenses Aware Job Scheduling and Management Appr...

引用

第十五届分布式计算及其应用国际学术研讨会

作者： Zhengxiong Hou Jianhua Gu Xingshe Zhou Tianhai Zhao Center for High Performance Computing School of Computer Science and Technology NWPU

ISBN: (纸本)9781509035946

For commercial software in scientific and engineering computing,software licenses are needed when running them in high performance computing ***,there is a constraint for the number of software *** the traditional software licenses management approaches,there is a prominent *** jobs will fail immediately without available software ***,the existing job scheduling mechanisms mainly focus on hardware resources *** this paper,we propose a software licenses aware job scheduling and management approach on multi-clusters,which is a common scenario for current high performance computing *** on floating licenses and scheduling policies,the submitted jobs from multi-clusters requiring software licenses will be uniformly queued and scheduled.A co-scheduling mechanism is provided for the software licenses and hardware *** software and limited licenses can be shared and used efficiently on *** implemented and evaluated the approach in a real multi-clusters computing environment.

关键词： Licenses Software Monitoring Servers Scheduling Processor scheduling Resource management

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Online credit card fraud detection: A hybrid framework with big data technologies 15

Online credit card fraud detection: A hybrid framework with ...

引用

Joint 15th IEEE international Conference on Trust, Security and Privacy in computing and Communications, 10th IEEE international Conference on Big Data science and engineering and 14th IEEE international symposium on Parallel and distributed Processing with applications, IEEE TrustCom/BigDataSE/ISPA 2016

作者： Dai, You Yan, Jin Tang, Xiaoxin Zhao, Han Guo, Minyi Department of Computer Science and Engineering Shanghai Jiao Tong University China School of Computer Science and Technology Huazhong University of Science and Technology China

ISBN: (纸本)9781509032051

In this paper, we focus on designing an online credit card fraud detection framework with big data technologies, by which we want to achieve three major goals: 1) the ability to fuse multiple detection models to improve accuracy, 2) the ability to process large amount of data and 3) the ability to do the detection in real time. To accomplish that, we propose a general workflow, which satisfies most design ideas of current credit card fraud detection systems. We further implement the workflow with a new framework which consists of four layers: distributed storage layer, batch training layer, key-value sharing layer and streaming detection layer. With the four layers, we are able to support massive trading data storage, fast detection model training, quick model data sharing and real-time online fraud detection, respectively. We implement it with latest big data technologies like Hadoop, Spark, Storm, HBase, etc. A prototype is implemented and tested with a synthetic dataset, which shows great potentials of achieving the above goals. © 2016 IEEE.

关键词： Big data

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P wave detection and delineation based on distances transform 15

P wave detection and delineation based on distances transfor...

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作者： Wang, Yan Wang, Lirong Chen, Xiaohe Zhu, Wenliang School of Electronic and Information Engineering Soochow University China Suzhou Institute of Biomedical Engineering and Technology Chinese Academy of Sciences China

ISBN: (纸本)9781509032051

Automatic detection of P-wave in an electrocardiogram(ECG) is a crucial task in diagnosis of the presence of arrhythmias. In this paper, we proposed an improved method based on distance transform. Distance transform is an efficient method for locating P-wave critical points, corresponding to subjective judgment of cardiologists. Auxiliary algorithms have also been introduced to improve the precision of distance transform, such as recognition of horizontal segments and rising or declining segment, then, feedback comes to narrow or widen the P wave searching area for the need of distance transform. The method is validated through a QT database. The experiments show that our method provides good results. The average error of P-wave onsets, ends and P-wave location is 8.5ms,10.4ms, and 7.6ms, and P wave boundary point detection accuracy is 98.9%, 97.8% respectively. © 2016 IEEE.

关键词： Electrocardiograms

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

引用

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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Model checking probabilistic network propagation protection strategies 15

Model checking probabilistic network propagation protection ...

引用

作者： Zonghao, Guo Ou, Wei Peng, Yu Lansheng, Han Weiming, Wu College of Computer Science and Technology Nanjing University of Aeronautic and Astronautics Nanjing211100 China School of Computer Science and Technonlgy Huazhong University of Science and Technology Wuhan430074 China

ISBN: (纸本)9781509032051

Network exists widely in nature and human society. The spread of infections such as computer viruses, diseases and rumors poses great challenges to economic and social system. It is an important issue in the network propagation control to protect individuals by finding effective intervention strategies. By analyzing network propagation processes, we build the probabilistic network propagation model and express the intervention goals as probabilistic logical properties. Furthermore, we propose to use probabilistic model checking method to solve intervention problem. In addition, we take the discrete spreading model of the email virus as an example and make a further study on three kinds of specific protective measures including the free propagation, the installation protection and the periodical protection. We conduct experiments with the probabilistic model checker PRISM and apply approximate probabilistic model checking method to solve large-scale problem. The results demonstrate the efficiency and feasibility of our proposed method. © 2016 IEEE.

关键词： Model checking

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Application of communication management system in electric power system 19

Application of communication management system in electric p...

引用

第十五届分布式计算及其应用国际学术研讨会

作者： YangYang YangXiaoPeng Li Yetian State Grid Henan Electric Power Information and Telecommunication Company Henan Electric Power Industry Group Co. Ltd China International Telecommunication Construction Group Design Institute Co. Ltd

ISBN: (纸本)9781509035946

This paper firstly introduces the background and significance of the communication management system in power system,and expounds the necessity of the construction of communication management *** a whole solution of the system from the technical point,describes the physical architecture,logical architecture,and security architecture of communication management system,analyses the design model and interface deployment ***,the economic benefit of the communication management system after the application of the power system is evaluated.

关键词： Monitoring Data collection Security Communication networks Power systems Information management Standards

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Secure Semantic Web Application Development: Present and Future 19

Secure Semantic Web Application Development: Present and Fut...

引用

第十五届分布式计算及其应用国际学术研讨会

作者： Umara Noor Zahid Rashid Department of Computing School of Electrical Engineering & Computer Science (DOC SEECS) National University of Science & Technology (NUST)

ISBN: (纸本)9781509035946

Semantic web is the future realization of the current web,in which resources are annotated with machine understandable meta-data,allowing the automation of tasks by employing these resources in their correct *** notable technologies have been specified by the World Wide Web Consortium(W3 C) for the application development lifecycle of semantic *** worldwide adoption of these technologies requires the development of secure semantic web *** the research community has proposed to define and integrate security standards to all phases of semantic web application *** this purpose the research community has reported some of the preliminary efforts in the form of XML Key Management(XKMS),Security Assertion Markup Language(SAML),XML Access Control Markup Language(XACML) and Platform for Privacy Preferences(P3 P).But there is a need to develop a security assessment benchmark for semantic web *** effective assessment of security of semantic web applications has been paid less attention so far in this *** this reason in this research work we propose some important features related to the development of a benchmark for secure semantic web application development that can effectively assess security of semantic web applications based on the survey of the security aspect of important semantic web languages ***,RDF,OWL and SPARQL/*** aim of the benchmark is to facilitate developers in building secure semantic web applications and provide security professionals to develop sophisticated security tools by effective performance evaluation.

关键词： Security Resource description framework XML OWL Ontologies Standards

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BOLAS+: Scalable lightweight locality-aware scheduling for Hadoop 15

BOLAS+: Scalable lightweight locality-aware scheduling for H...

引用

作者： Gao, Shengli Xue, Ruini School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9781509032051

Locality-aware task scheduling for MapReduce can reduce job execution time by avoiding data transferring. However, many existing scheduling algorithms suffer from either heavy storage overhead, reduced task parallelism, significant response time, or poor scalability. To address these issues, this paper presents BOLAS+, a scalable lightweight locality-aware scheduling algorithm for Hadoop. BOLAS+ takes such global information as block distribution and node performance divergence into consideration for optimal scheduling. BOLAS+ associates each node and each block replica with a value, node importance, and replica priority, respectively. As the only factors for scheduling decision-making, these two values are updated dynamically upon a scheduling request, and are designed in a way that they can be calculated very efficiently. Only simple comparisons within these values of local blocks are involved during scheduling, which guarantees the scalability of BOLAS+. Experimental results show that BOLAS+ can completely eliminate off-switch scheduling, and ensure more than 95% node-local scheduling with a very low complexity O(n/m), which in turn can reduce the total job execution time by up to 15.1%. © 2016 IEEE.

关键词： MapReduce

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ChainSpot: Mining service logs for cyber security threat detection 15

ChainSpot: Mining service logs for cyber security threat det...

引用

作者： Wu, Jain-Shing Lee, Yuh-Jye Wei, Te-En Hsieh, Chih-Hung Lai, Chia-Min Department of Computer Science and Information Engineering National Taiwan University of Science and Technology Taipei Taiwan Institute for Information Industry Taipei Taiwan

ISBN: (纸本)9781509032051

Given service logs of who used what service, and when, how can we find intrusions and anomalies? In this paper, a cyber threat detection framework-ChainSpot was proposed, in which the novelty is to build graphical patterns by summarizing user's sequential behaviors of using application-layer services, and to discover deviations against one's normal patterns. Besides modeling, the issue of justifying trade-off between feature explicity and computation complexity is properly addressed, as well. Effectiveness and performance of proposed method are evaluated using dataset collected in real circumstance. Experiments show that ChainSpot can provide very good supports for awaring abnormal behaivors which is starting point of threat detection. The detection results are highly correlated to expert-labeled ground truth, therefore, ChainSpot is proven helpful for saving forensics efforts significantly. Even more, case investigations demonstrate that the differences between benign and suspicious patterns can be further interpreted to reconstruct the attack scenarios. Then the analytic findings may be treated as indicators of compromise for threat detection and in-depth clues for digital forensics. © 2016 IEEE.

关键词： Cybersecurity

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Time-Bounded Statistical Analysis of Resource-Constrained business Processes with distributed Probabilistic Systems 1

引用

2nd international symposium on Dependable Software engineering - Theories, Tools and applications (SETTA)

作者： Saha, Ratul Mukund, Madhavan Bose, R. P. Jagadeesh Chandra Natl Univ Singapore Singapore Singapore Chennai Math Inst Madras Tamil Nadu India Xerox Res Ctr India Bengaluru India

ISBN: (数字)9783319476773

ISBN: (纸本)9783319476773;9783319476766

business processes often incorporate stochastic decision points, either due to uncontrollable actions or because the control flow is not fully specified. Formal modeling of such business processes with resource constraints and multiple instances is hard because of the interplay among stochastic behavior, concurrency, real-time and resource contention. In this setting, statistical techniques are easier to use and more scalable than numerical methods to verify temporal properties. However, existing approaches towards simulation techniques of business processes typically rest on shaky theoretical foundations. In this paper, we propose a modular approach towards modeling stochastic resource-constrained business processes. We analyze such processes in presence of commonly used resource-allocation strategies. Our model, distributed Probabilistic Systems (DPS), incorporates a set of probabilistic agents communicating among each other in fixed-duration real-time. Our methodology admits statistical analysis of business processes with provable error bounds. We also illustrate a number of real-life scenarios that can be modeled and verified using this approach.

关键词： Statistical methods

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