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36th IEEE International Performance Computing and Communications Conference, IPCCC 2017

作者： Yang, Zhengyu Hoseinzadeh, Morteza Wong, Ping Artoux, John Mayers, Clay Evans, David Thomas Bolt, Rory Thomas Bhimani, Janki Mi, Ningfang Swanson, Steven Dept. Of Electrical and Computer Engineering Northeastern University BostonMA02115 United States Dept. Of Computer Science and Engineering University of California San Diego San DiegoCA92093 United States Samsung Semiconductor Inc. Memory Solution Research Lab Software Group San DiegoCA92121 United States

ISBN: (纸本)9781509064687

In the year of 2017, more and more datacenters have started to replace traditional SATA and SAS SSDs with NVMe SSDs due to NVMe's outstanding performance [1]. However, for historical reasons, current popular deployments of NVMe in VM-hypervisor-based platforms (such as VMware ESXi [2]) have numbers of intermediate queues along the I/O stack. As a result, performance is bottlenecked by synchronization locks in these queues, cross-VM interference induces I/O latency, and most importantly, up-to-64K-queue capability of NVMe SSDs cannot be fully utilized. In this paper, we developed a hybrid framework of NVMe-based storage system called 'H-NVMe', which provides two VM I/O stack deployment modes 'Parallel Queue Mode' and 'Direct Access Mode'. The first mode increases parallelism and enables lock-free operations by implementing local lightweight queues in the NVMe driver. The second mode further bypasses the entire I/O stack in the hypervisor layer and allows trusted user applications whose hosting VMDK (Virtual Machine Disk) files are attached with our customized vSphere IOFilters [3] to directly access NVMe SSDs to improve the performance isolation. This suits premium users who have higher priorities and the permission to attach IOFilter to their VMDKs. H-NVMe is implemented on VMware EXSi 6.0.0, and our evaluation results show that the proposed H-NVMe framework can significant improve throughputs and bandwidths compared to the original inbox NVMe solution. © 2017 IEEE.

关键词： Cloud computing

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AutoTiering: Automatic data placement manager in multi-tier all-flash datacenter 36

AutoTiering: Automatic data placement manager in multi-tier ...

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36th IEEE International Performance Computing and Communications Conference, IPCCC 2017

作者： Yang, Zhengyu Hoseinzadeh, Morteza Andrews, Allen Mayers, Clay Evans, David Bolt, Rory Thomas Bhimani, Janki Mi, Ningfang Swanson, Steven Dept. Of Electrical and Computer Engineering Northeastern University BostonMA02115 United States Dept. Of Computer Science and Engineering University of California San Diego San DiegoCA92093 United States Samsung Semiconductor Inc. Memory Solution Research Lab Software Group San DiegoCA92121 United States

ISBN: (纸本)9781509064687

In the year of 2017, the capital expenditure of Flash-based Solid State Drivers (SSDs) keeps declining and the storage capacity of SSDs keeps increasing. As a result, the 'selling point' of traditional spinning Hard Disk Drives (HDDs) as a backend storage - low cost and large capacity - is no longer unique, and eventually they will be replaced by low-end SSDs which have large capacity but perform orders of magnitude better than HDDs. Thus, it is widely believed that all-flash multi-tier storage systems will be adopted in the enterprise datacenters in the near future. However, existing caching or tiering solutions for SSD-HDD hybrid storage systems are not suitable for all-flash storage systems. This is because that all-flash storage systems do not have a large speed difference (e.g., 10x) among each tier. Instead, different specialties (such as high performance, high capacity, etc.) of each tier should be taken into consideration. Motivated by this, we develop an automatic data placement manager called 'AutoTiering' to handle virtual machine disk files (VMDK) allocation and migration in an all-flash multitier datacenter to best utilize the storage resource, optimize the performance, and reduce the migration overhead. AutoTiering is based on an optimization framework, whose core technique is to predict VM's performance change on different tiers with different specialties without conducting real migration. As far as we know, AutoTiering is the first optimization solution designed for all-flash multi-tier datacenters. We implement AutoTiering on VMware ESXi [1], and experimental results show that it can significantly improve the I/O performance compared to existing solutions. © 2017 IEEE.

关键词： Managers

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Improved Sentiment Classification by Multi-Modal Fusion

Improved Sentiment Classification by Multi-Modal Fusion

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IEEE International Conference on Big Data Computing Service and Applications (BigDataService)

作者： Lige Gan Rachid Benlamri Richard Khoury Department of Software Engineering Lakehead University Thunder Bay Canada Dept. of Computer Science and Software Engineering Université Laval Quebec City Canada

ISBN: (纸本)9781509063192

Sentiment Analysis (SA) is the task of detecting people's emotions from their written text. Many algorithms have been studied for that purpose, with different authors claiming one or the other as better by a given metric. In recent years, the focus of SA has shifted to online text and microblog text, messages so short that good analysis becomes difficult that the choice of algorithm becomes critical. In this paper, we propose that a choice is not necessary at all. Instead, we show that a fusion of multiple algorithms to create a multi-modal SA system is a preferable approach.

关键词： Classification algorithms Algorithm design and analysis Measurement Niobium Support vector machines Kernel Vegetation

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Online Cloud-Based Battery Lifetime Estimation Framework for Smartphone Devices

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Procedia computer science 2017年 110卷 70-77页

作者： Raja Wasim Ahmad Raja Sehrab Bashir Sharjil Saeed Yangsun Lee Kwangman Ko Yunsik Son COMSATS Institute of Information Technology Pakistan Department of Software Engineering University Malaya Malaysia Department of Computer Science and IT University of AJK Dept. of Computer Engineering Sekyungongguk University South Korea Dept. of Computer Engineering Sanji University South Korea Dept. of Computer Engineering Dongguk University South Korea

Smartphones are resource constrained external battery operated devices. The resources of smartphone devices such as a battery, CPU, and RAM are very low compared to the desktop server. However, the requirements of smartphone users are growing tremendously. As a result, smartphone applications perform rich functionality to enrich user experience. However, due to increase in the execution capacity of smartphone applications, smartphone battery lifetime minimizes. This study proposes a cloud-based framework that estimates battery lifetime of a smartphone device. Moreover, it overviews the theoretical design of computational offloading framework to present an application area for the proposed work. Finally, it presents preliminary results to evaluate the proposed framework.

关键词： Mobile Computing Cloud Computing Computation Offloading Battery Lifetime Estimation Energy Optimization

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Arnor: Modeling Social Intelligence via Norms to Engineer Privacy-Aware Personal Agents 17

Arnor: Modeling Social Intelligence via Norms to Engineer Pr...

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International Conference on Autonomous Agents and Multiagent Systems

作者： Nirav Ajmeri Pradeep K. Murukannaiah Hui Guo Munindar P. Singh Dept. of Computer Science North Carolina State University Dept. of Software Engineering Rochester Institute of Technology

ISBN: (纸本)9781510855076

We seek to address the challenge of engineering socially intelligent personal agents that are privacy-aware. We propose Arnor, a method, including a metamodel based on social constructs Arnor incorporates social norms and goes beyond existing agent-oriented software engineering (AOSE) methods by systematically capturing how a personal agent's actions influence the social experience it delivers We conduct two empirical studies to evaluate Arnor. First, via a multi-phase developer study, we show that Arnor simplifies application development. Second, via simulation experiments, we show that Arnor provides improved privacy-preserving social experience to end users than personal agents engineered using a traditional AOSE method.

关键词： Social context Norms Personal agents Methodology Developer study Social Environment social model Agents empirical studies Engineers Intelligence methodology

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SynAPhy and SynAVal: Mining a Synteny-Similarity Graph to Resolve Orthology of Proteins in Fungal Genomes

SynAPhy and SynAVal: Mining a Synteny-Similarity Graph to Re...

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IEEE Symposium on Bioinformatics and Bioengineering (BIBE)

作者： Christine Kehyayan Gregory Butler Google Mountain View CA USA Dept of Computer Science and Software Engineering Concordia University Montreal Quebec Canada

Phylogenomics is the study of evolution of proteins and the genomic events of speciation, duplication, horizontal gene transfer, and gene loss. It is critical to distinguish between orthologs created by speciation, and paralogs created by duplication, in order to accurately predict the function of a protein using annotation transfer by homology. In an age where complete genomes are available, we leverage synteny, the genomic context of a gene, for resolving orthology. We introduce the synteny-similarity graph. We present SynAPhy, a novel graph-based approach for clustering proteins. SynAPhy computes the “syntenic reciprocal best hits” of proteins across genomes. The synteny-similarity graphs are input to the MCL algorithm to determine orthologous clusters across genomes. There is no gold standard genome scale dataset to evaluate the capability of SynAPhy in generating orthologous clusters. We therefore present SynAVal, an evaluation framework that can be applied to an orthology prediction technique. The results of applying SynAVal on eight fungal genomes show that SynAVal with synteny resolution can successfully resolve potential confusions raised by 8.98% of all proteins, and resolve 23.33% of the subset of the proteins likely to cause confusions.

关键词： Proteins Genomics Detectors Clustering algorithms Image edge detection Databases Prediction algorithms

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Recognizing eye tracking traits for source code review

Recognizing eye tracking traits for source code review

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： K R Chandrika J Amudha Sithu D Sudarsan Dept of Computer Science & Engineering Amrita University India Industrial Software Systems ABB Corporate Research Bengaluru India

Source code review is a core activity in software engineering where a reviewer examines the code with the intention of finding bugs in the program. A lot of research has been carried out in understanding how software engineers perform code comprehension; however contribution of eye tracking traits seems to have not been addressed. This paper outlines a study conducted in an industrial environment of software engineers. It focused on understanding the visual attention of subjects with programming skills and subjects without programming skills and recognize the eye tracking traits required for source code review. The results indicate a significant difference in gaze behaviors of these groups. The key aspects of subjects with programming skills while source code review are required to have certain eye tracking traits like better code coverage, attention span on error lines and comments.

关键词： Gaze tracking Programming Visualization computer bugs Tracking Debugging

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A decision support method for recommending degrees of exploration in exploratory testing

arXiv

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arXiv 2017年

作者： Ghazi, Ahmad Nauman Petersen, Kai Wohlin, Claes Bjarnason, Elizabeth Dept. of Software Engineering Blekinge Institute of Technology Karlskrona Sweden Dept. of Computer Science Lund University Lund Sweden

Exploratory testing is neither black nor white, but rather a continuum of exploration exists. In this research we propose an approach for decision support helping practitioners to distribute time between different degrees of exploratory testing on that continuum. To make the continuum manageable, five levels have been defined: Freestyle testing, high, medium and low degrees of exploration, and scripted testing. The decision support approach is based on the repertory grid technique. The approach has been used in one company. The method for data collection was focus groups. The results showed that the proposed approach aids practitioners in the reflection of what exploratory testing levels to use, and aligns their understanding for priorities of decision criteria and the performance of exploratory testing levels in their contexts. The findings also showed that the participating company, which is currently conducting mostly scripted testing, should spend more time on testing using higher degrees of exploration in comparison to scripted testing. Copyright © 2017, The Authors. All rights reserved.

关键词： Decision support systems

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Modeling and Simulation of Top and Bottom Lid Driven Cavity using Lattice Boltzmann Method

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IOP Conference Series: Materials science and engineering 2019年第5期546卷

作者： K A Yuana E P Budiana Deendarlianto Indarto Mechanical Engineering Department Faculty of Engineering Gadjah Mada University Bulaksumur Sleman Yogyakarta Indonesia. Networking and Software Engineering Dept. Computer Science Faculty Amikom University Yogyakarta Ring Road Utara Sleman Yogyakarta Indonesia. Mechanical Enginering Department Faculty of Engineering Sebelas Maret University Jl. Ir. Sutami 36A Jebres Surakarta Central Java Indonesia

Simulation of computational fluid dynamic (CFD) in isothermal fluid flow is very important in engineering and modeling problem. The simulation can explain the closed-flow behavior as complement with experimental field. Lid Driven Cavity as the tool for CFD benchmark is important to investigate. Lattice Boltzmann Method (LBM) as non-conventional CFD is used as present method investigation. The keys parameters of lid driven cavity problem are Reynolds number and the parts of moving boundaries that driven the cavity. In the present investigation was used the variations of Reynolds numbers: 500, 1000 and 2000. The lid that driven the cavity are top and bottom part. The results presented in visual flow pattern and in two dimensional velocity plot.

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Wireless low power toxic gas detector based on ADuCM360

Wireless low power toxic gas detector based on ADuCM360

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International SoC Design Conference, ISOCC

作者： Minming Gu ZhenPing Xia Yan Lei Lin Zhang Jieming Ma Dept. of Electronic & Information Engineering Suzhou University of Science and Technology Suzhou China Dept. of Computer Science and Software Engineering Xi'an Jiaotong-Liverpool University (XJTLU) Suzhou China

In order to avoid toxic gas poisoning incident, explosion and improve people's quality of life, this project designed the wireless low power toxic gas detector based on ADuCM360 with sensor technology and wireless transmission technology. The system consists of power management module, sensor module, signal conditioning module and wireless communication module. Analysis and experimental results show that this toxic gas detector can monitor and store the toxic gas concentration, temperature and humidity in the room for a long time. You will be able to understand the detection of toxic gases without necessity of visiting the site in person.

关键词： Wireless communication Wireless sensor networks Gas detectors Temperature sensors Monitoring Gases Hardware

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