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12th international conference on Signal-Image Technology and Internet-Based Systems (SITIS)

作者： Montella, Raffaele Di Luccio, Diana Troiano, Pasquale Riccio, Angelo Brizius, Alison Foster, Ian Univ Napoli Parthenope Dept Sci & Tecnol HPSC SmartLab Naples Italy Univ Chicago Ctr Robust Decisionmaking Climate & Energy Policy RDCEP Computat Intitute Chicago IL 60637 USA

ISBN: (纸本)9781509056989

Accurate prediction of trends in marine pollution is strategic, given the negative effects of low water quality on human marine activities. We describe here the computational and functional performance evaluation of a decision making tool that we developed in the context of an operational workflow for food quality forecast and assessment. Our Water Community Model (WaComM) uses a particle-based Lagrangian approach relying on tridimensional marine dynamics field produced by coupled Eulerian atmosphere and ocean models. WaComM has been developed matching the hierarchical parallelization design requirements and tested in Intel X86_64 and IBM P8 multi core environments and integrated in FACE-IT Galaxy workflow. the predicted pollutant concentration and the amount of pollutants accumulated in the sampled mussels are compared in search of coherent trends to prove the correct model behaviour. In the case study shown in this paper, the predicted Lagrangian tracers, acting as pollutant concentration surrogates, tend to spread rapidly and undergo rapid dilution as expected depending on dominant water column integrated currents.

关键词： high performance computing numerical model model coupling lagrangian dispersion lagrangian particles trace pollutants mussel farming sea pollution risk assessment water quality

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A parallel Frequent Item Counting Algorithm

A Parallel Frequent Item Counting Algorithm

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international conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC

作者： Xun Yang Jun Liu Wenli Zhou Center for Data Science Beijing University of Posts and Telecommunications Beijing China HAOHAN Data Technology Co. LTD. Beijing China

ISBN: (纸本)9781509007691

Frequent items in high-speed streaming data are important to many applications like network monitoring and anomaly detecting. To deal with high arrival rate of streaming data, it is desirable that such systems be capable of supporting high processing throughput with tight guarantees on errors. In this paper, we address the problem of finding frequent and top-k items, and present a parallel version of the Space Saving algorithm in the context of the open source distributed computing system. Based on the theoretical analysis, the errors are restrictively bounded in our algorithm, and our parallel design could achieve high throughput. Taking advantage of the distributed computing resources, our evaluation reveals that such design delivers linear speedup with remarkable scalability.

关键词： Radiation detectors Algorithm design and analysis Monitoring Frequency estimation Telecommunications throughput Context

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A Framework for Security Enhancement in SDN-Based Datacenters

A Framework for Security Enhancement in SDN-Based Datacenter...

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New Technologies, Mobility and Security (NTMS)

作者： Moustafa Ammar Mohamed Rizk Ayman Abdel-Hamid Ahmed K. Aboul-Seoud Faculty of Engineering Alexandria University and Arab Academy for Science Technology and Maritime Transport Alexandria Egypt Faculty of Engineering Alexandria University Alexandria Egypt College of Computing and Information Technology Arab Academy for Science Technology and Maritime Transport Alexandria Egypt

ISBN: (纸本)9781509029150

A number of challenges are facing the design of secure datacenter environments, such as applications high throughput requirements, low latency applications, scalability, ability to detect Advanced Persistent threats (APT), bring your own device (BYOD), and protection against Distributed denial of service (DDOS) attacks. Software Defined networking (SDN) is an emerging paradigm that provides flexibility to Datacenter network design. In this paper, a framework is presented to enhance security in SDN-based datacenters. SDN features are leveraged to integrate network layer with security middleboxes such as intrusion prevention system (IPS) or Firewall (FW) to block attackers at the network edge. A proof of concept is designed and implemented using Citrix Xenservers and Mininet emulation software where a typical datacenter fat-tree topology is adopted. Performance evaluation results demonstrate that the proposed framework provides an adaptive self-defending network able to protect running services and defend against internal threats while reducing attack response time.

关键词： Security Servers Topology network topology Delays IP networks Switches

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How Playstyles Evolve: Progression Analysis and Profiling in Just Cause 2 15th

How Playstyles Evolve: Progression Analysis and Profiling in...

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15th ifip TC 14 international conference on Entertainment computing (ICEC)

作者： Pirker, Johanna Griesmayr, Simone Drachen, Anders Sifa, Rafet Graz Univ Technol Graz Austria Aalborg Univ Aalborg Denmark Pagonis Network Aalborg Denmark Fraunhofer IAIS St Augustin Germany

ISBN: (纸本)9783319461007;9783319460994

Evaluating progression of players in a game can take a variety of forms, but ideally combines playstyle or performance analysis with one or more aspects of progression, e.g. through a level- or mission-based structure. Furthermore, visualization of the results of analysis are essential to ensure that action can be taken on them. In this paper behavioral profiling through Archetype Analysis is combined with progression analysis, expanding on previous work in the area, and extending it into the context of Open-World Games. the proposed methodological framework is applied to the case of the action-adventure title Just Cause 2, focusing on the main storyline. the results show how players navigate the content of the title, and how some playstyles remain constant throughout the game, whereas others emerge or disappear with player progress. Additionally, player performance as a function of progression is evaluated across a number of key metrics.

关键词： Game analytics Progression Playstyle Player behavior Cluster analysis Visualization

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A Heuristic Approach to Design and Analyze the Hybrid Electric Vehicle Powertrain and Energy Transmission Systems

A Heuristic Approach to Design and Analyze the Hybrid Electr...

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12th international conference on Intelligent computing (ICIC)

作者： Mahmud, Khizir Habibullah, Mohammad Shidujaman, Mohammad Morsalin, Sayidul Kocar, Gunnur Northwestern Polytech Univ Sch Automat Xian Peoples R China Ege Univ Solar Energy Inst Izmir Turkey Tsinghua Univ Dept Mech Engn Beijing Peoples R China Chittagong Univ Engn & Technol Dept Elect & Elect Engn Chittagong Bangladesh

ISBN: (纸本)9783319422978;9783319422961

the Hybrid Electric Vehicle (HEV) powertrain, and an efficient power conversion and energy transmission process, are significant factors to reduce conventional fuel consumption and vehicle gas emission. the scale of gas emission of an HEV depends on an efficient design process for the powertrain and an optimal energy management system. therefore, this paper models an efficient powertrain and energy transmission process for both series and parallel HEVs, which can contribute to the emission reduction process. Different power conversion stages, energy transmission paths, emissions, and a systems response corresponding to the driver's profile are analyzed systematically. Finally, the emission of the proposed system is compared with the European standard of vehicle gas emission.

关键词： Emission reduction Energy management parallel hybrid electric vehicle Series hybrid electric vehicle Powertrain Vehicle energy transmission

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SenNet: A Programming Toolkit to Develop Wireless Sensor network Applications

SenNet: A Programming Toolkit to Develop Wireless Sensor Net...

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New Technologies, Mobility and Security (NTMS)

作者： Aymen J. Salman Adil Al-Yasiri School of Computing Sciences and Engineering University of Salford Greater Manchester M5 4WT UK

ISBN: (纸本)9781509029150

One of the reasons that Wireless Sensor network (WSN) applications are not widely available is the complexity in their development. this is a consequence of the complex nature in low-level details, which a developer must manage. the vast majority of the present application developments are done using node-centric low-level languages, for example, C. In order to make the WSN technology more universal; application development complexity nature should be reduced, and development efficiency increased. this paper describes SenNet language, which is a new approach to WSN application development using a Domain-Specific Language (DSL). SenNet empowers application developers to focus on modelling the application logic using domain specific terms. the new approach gives the ability to write applications using multi-levels of abstraction (i.e. network, group, and node-level). Evaluation results show that SenNet decreases the cognitive effort required for learning WSN application development in addition to the time required to write the application by using automated code generation from abstracted language commands.

关键词： Wireless sensor networks Programming DSL Computer architecture Data processing Middleware Complexity theory

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Integrated membrane computing framework for modeling intrusion detection systems 11th

Integrated membrane computing framework for modeling intrusi...

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11th international conference on Bio-inspired computing – theories and Applications, BIC-TA 2016

作者： Idowu, Rufai Kazeem Muniyandi, Ravie Chandren Othman, Zulaiha Ali Computer Science Department College of Science and Information Technology IjagunOgun-State Nigeria Bangi Malaysia Bangi Malaysia

ISBN: (纸本)9789811036101

Several activities take place within a network environment which include (but not restricted to) movement of traffics (packets) among the nodes. An Intrusion Detection system (IDS) which is primarily concerned with the monitoring of an information system with the sole aim of reporting activities which are symptomatic of an attack, needs constant review and upgrade to enhance its operations. In this work, we argue that two of the variants of Membrane computing (MC);spiking neural P (SNP) system and tissue-like P system could best be used as tools to enhance the activities and security properties of any computer network system. therefore, this paper proposes an alternative but dependable integrated modeling framework which applies membrane computing paradigms to intrusion detection systems. this framework combines the membrane systems model for rule-based intrusion detection systems as well as attack detection model implemented on GPU for high throughput and detection speedup for checkmating packet loss/drop. MC is a newly introduced but yet to be fully explored technology in the area of network/information system security. It is a versatile, nondeterministic and maximally parallel computing model. © Springer Nature Singapore Pte Ltd. 2016.

关键词： Intrusion detection

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network and parallel computing

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international JOURNAL OF parallel PROGRAMMING 2015年第3期43卷 311-315页

作者： Hsu, Ching-Hsien Li, Xiaoming Shi, Xuanhua Chung Hua Univ Dept Comp Sci & Informat Engn Hsinchu Taiwan Univ Delaware Dept Elect & Comp Engn Newark DE USA Huazhong Univ Sci & Technol Sch Comp Sci & Technol Wuhan 430074 Peoples R China

It’s our pleasure to bring you this special issue of the international Journal of parallel Programming on the network and parallel computing. Prior to the publication to this special issue, all papers were presented in the 10th ifip international conference on network and parallel computing (NPC’13) held from September 19 to September 21 2013 in Guiyang, China. Since 2003, NPC has become a valuable venue for engineers and scientists to present their excellent ideas and experiences in system?fields of distributed and parallel computing. the NPC 2013 continues this tradition and in particular extends areas of interest to Big data computing and parallel and multicore issues and opportunities. Huazhong University of Science and Technology, China organized this year’s NPC conference.

关键词： CLOUD storage SEMANTIC Web parallel algorithms

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Behavioral Service Graphs: A Big Data Approach for Prompt Investigation of Internet-Wide Infections

Behavioral Service Graphs: A Big Data Approach for Prompt In...

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New Technologies, Mobility and Security (NTMS)

作者： Elias Bou-Harb Mark Scanlon Claude Fackha Cyber Threat Intelligence Laboratory Florida Atlantic University USA University College Dublin School of Computer Science Ireland Cyber Security Center New York Univ. Abu Dhabi United Arab Emirates

ISBN: (纸本)9781509029150

the task of generating network-based evidence to support network forensic investigation is becoming increasingly prominent. Undoubtedly, such evidence is significantly imperative as it not only can be used to diagnose and respond to various network-related issues (i.e., performance bottlenecks, routing issues, etc.) but more importantly, can be leveraged to infer and further investigate network security intrusions and infections. In this context, this paper proposes a proactive approach that aims at generating accurate and actionable network-based evidence related to groups of compromised network machines. the approach is envisioned to guide investigators to promptly pinpoint such malicious groups for possible immediate mitigation as well as empowering network and digital forensic specialists to further examine those machines using auxiliary collected data or extracted digital artifacts. On one hand, the promptness of the approach is successfully achieved by monitoring and correlating perceived probing activities, which are typically the very first signs of an infection or misdemeanors. On the other hand, the generated evidence is accurate as it is based on an anomaly inference that fuses big data behavioral analytics in conjunction with formal graph theoretical concepts. We evaluate the proposed approach as a global capability in a security operations center. the empirical evaluations, which employ 80 GB of real darknet traffic, indeed demonstrates the accuracy, effectiveness and simplicity of the generated network-based evidence.

关键词： Big data Peer-to-peer computing Security Context Digital forensics Analytical models

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network and parallel computing - 11th ifip WG 10.3 international conference, NPC 2014, Proceedings

Network and Parallel Computing - 11th IFIP WG 10.3 Internati...

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11th ifip WG 10.3 international conference on network and parallel computing, NPC 2014

ISBN: (纸本)9783662449165

the proceedings contain 66 papers. the topics discussed include: routing and wavelength assignment for exchanged hypercubes in linear array optical networks;page classifier and placer: a scheme of managing hybrid caches;temporal-based ranking in heterogeneous networks;designing buffer capacity of crosspoint-queued switch;loss-rate driven network coding for transmission control;towards relaxed rollback-recovery consistency in SOA;a novel page replacement algorithm for the hybrid memory architecture involving PCM and DRAM;wire length of midimew-connected mesh network;designing coalescing network-on-chip for efficient memory accesses of GPGPUs;a real-time scheduling framework based on multi-core dynamic partitioning in virtualized environment;automatic data layout transformation for heterogeneous many-core systems;online mechanism design for VMs allocation in private cloud;threshold based auto scaling of virtual machines in cloud environment;and a novel resource provisioning model for DHT-based cloud storage systems.

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