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10th ACM/SPEC International Conference on Performance Engineering (ICPE)

作者： Seybold, Daniel Keppler, Moritz Gruendler, Daniel Domaschka, Joerg Ulm Univ Inst Informat Resource Management Ulm Germany Daimler TSS Ulm Germany

ISBN: (纸本)9781450362399

Big Data and IoT applications require highly-scalable database management system (DBMS), preferably operated in the cloud to ensure scalability also on the resource level. As the number of existing distributed DBMS is extensive, the selection and operation of a distributed DBMS in the cloud is a challenging task. While DBMS benchmarking is a supportive approach, existing frameworks do not cope with the runtime constraints of distributed DBMS and the volatility of cloud environments. Hence, DBMS evaluation frameworks need to consider DBMS runtime and cloud resource constraints to enable portable and reproducible results. In this paper we present Mowgli, a novel evaluation framework that enables the evaluation of non-functional DBMS features in correlation with DBMS runtime and cloud resource constraints. Mowgli fully automates the execution of cloud and DBMS agnostic evaluation scenarios, including DBMS cluster adaptations. The evaluation of Mowgli is based on two IoT-driven scenarios, comprising the DBMSs Apache Cassandra and Couchbase, nine DBMS runtime configurations, two cloud providers with two different storage backends. Mowgli automates the execution of the resulting 102 evaluation scenarios, verifying its support for portable and reproducible DBMS evaluations. The results provide extensive insights into the DBMS scalability and the impact of different cloud resources. The significance of the results is validated by the correlation with existing DBMS evaluation results.

关键词： benchmarking cloud NoSQL scalability distributed database

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SSS: Scalable Key-Value Store with External Consistent and Abort-free Read-only Transactions 39

SSS: Scalable Key-Value Store with External Consistent and A...

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39th IEEE International Conference on distributed Computing Systems (ICDCS)

作者： Kishi, Masoomeh Javidi Peluso, Sebastiano Korth, Henry F. Palmieri, Roberto Lehigh Univ CSE Bethlehem PA 18015 USA Virginia Tech ECE Blacksburg VA USA

ISBN: (纸本)9781728125190

We present SSS, a scalable transactional key-value store deploying a novel distributed concurrency control that provides external consistency for all transactions, never aborts read-only transactions due to concurrency, all without specialized hardware. SSS ensures the above properties without any centralized source of synchronization. SSS's concurrency control uses a combination of vector clocks and a new technique, called snapshot-queuing, to establish a single serialization order where transactions are guaranteed to read from the latest non-concurrent transaction externally visible to clients. We compare SSS against high performance key-value stores, Walter, ROCOCO, and a two-phase commit baseline. SSS outperforms 2PC-baseline by as much as 7x using 20 nodes;and ROCOCO by as much as 2.2x with long read-only transactions using 15 nodes.

关键词： Transactions distributed database Consistency

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A Model of Computing and Communication for Public Safety Integrating FirstNet, Edge Computing, and Internet of Things 10

A Model of Computing and Communication for Public Safety Int...

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IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)

作者： Zahid, Javaid Lqbal Hussain, Fatima Ferworn, Alex Ryerson Univ Comp Sci Dept Toronto ON Canada Royal Bank Canada API Operat & Delivery Squad Toronto ON Canada

ISBN: (纸本)9781728125305

A Public Safety Network (PSN) is an essential element of the Emergency Management System (EMS) for any country to deal with natural or man-made disasters. PSN is an information and communication infrastructure that assists managing first responders during incident operations. In this article we propose a model of computation and communication that could represent a future alternative public safety network. Our concept is based on the integration of emerging technologies like Fog/Edge Computing, Internet of Things (IoT), and FirstNet network partly in operation in the United States. Our model proposes a synergy between these technologies and forms a platform for highly qualified people (HQP) in training to develop and experiment with their research work. As the technology is similar to that in actual operation, any research results may be more easily adopted by PSNs in actual operations. Mobile edge devices like smart phones, dones, robots, and aerial platforms form part of deployed devices. These are interconnected via gateways to the Internet for providing useful information to incident command centers where managers can make timely decisions. Our model is implemented using off-the-shelf devices both for computing and communication tasks.

关键词： Public Safety Disaster Response (DR) Emergency Management Fog/Edge Computing FirstNet Internet of Things (IoT) Robots Unmanned Aerial Vehicles (UAV) Big data Machine Learning distributed database Blockchain

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Educational Resource Sharing Platform Based on Blockchain Network

Educational Resource Sharing Platform Based on Blockchain Ne...

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Chinese Automation Congress (CAC)

作者： Hou, Yujiao Wang, Ning Mei, Guang Xu, Weisheng Shao, Weihui Liu, Yutong Tongji Univ Sch Elect & Informat Engn Shanghai Peoples R China Tongji Univ Educ Technol & Comp Ctr Shanghai Peoples R China

ISBN: (纸本)9781728140940

The educational resource sharing among higher educational institutions is always an important element for the improvement of the educational level. With the development of digital and network construction among universities and colleges, the sharing and use of high-quality educational resources can reach a new level. This paper proposes a method to build a global platform for educational resource sharing using blockchain. Learners all over the world can get access to high-quality education easier through the proposed platform which can improve educational equality. Meanwhile, the credit recognition system can eliminate the trust barriers between higher educational institutions and social institutions and can well protect personal privacy. This article explains architectural components and preliminary solutions for implementation.

关键词： educational resource sharing blockchain distributed database educational equality

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Blockchain-Based Threat Registry Platform 10

Blockchain-Based Threat Registry Platform

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IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)

作者： de Diego, Santiago Goncalves, Carlos Lage, Oscar Mansell, Jason Kontoulis, Michael Moustakidis, Serafeim Guerra, Barbara Liapis, Angelos Trustech Tecnalia Res & Innovat Bilbao Spain INCM Impresa Nacl Portuguese Mint House & Official Printing Off Lisbon Portugal Natl Tech Univ Athens Decis Support Syst Lab Athens Greece AIDEAS AI Dept Tallinn Estonia EDGEENEERING Business Dev Lisbon Portugal Konnekt Able Management Dept Dundalk Louth Ireland

ISBN: (纸本)9781728125305

This document presents a reference architecture for a Blockchain-based Threat Registry platform, named BBTR, to share information about treats among different actors. The design of the BBTR guarantees integrity and availability of the data stored in it and is also compatible with privacy requirements, allowing different actors to participate as users of this shared BaaS (Blockchain as a Service). The paper also shows how this approach can be combined with Al techniques to extract valuable information from the threats directly from the Blockchain, empowering the final solution with a decision-making engine. It also includes its validation in a use case in the Health care domain.

关键词： Blockchain applications Computer architecture Threat management distributed database Fault tolerance systems Artificial intelligence

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A new approach for the distributed deployment of centralized algorithms in smart grids

A new approach for the distributed deployment of centralized...

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IEEE PES Innovative Smart Grid Technologies Europe (IEEE ISGT-Europe)

作者： Nguyen, T. T. Q. Debusschere, V. Bobineau, Ch. Labonne, A. Boudinet, C. Giap, Q. H. HadjSaid, N. Univ Grenoble Alpes CNRS Grenoble INP G2ELabInst Engn F-38000 Grenoble France Univ Grenoble Alpes CNRS Grenoble INP LIGInst Engn F-38000 Grenoble France Da Nang Univ Technol Da Nang 550000 Vietnam

ISBN: (纸本)9781538682180

distributed algorithms are regularly used to deploy distributed paradigms in smart grids. Computations are executed without any centralized server even in a limited bandwidth network. However, there are still some drawbacks in the proof of convergence as well as a lack of programming abstraction. In this paper, we propose a new approach to the distributed paradigm by using distributed programming in a data manipulation language called Smartlog. A distributed programming methodology will automatically divide a centralized Smartlog program into multiple rules while ensuring the correct transformation of the centralized computations. An application of voltage control in a distribution grid with high penetration of PV systems is used as an illustration of this approach. Two implementations are compared: centralized programming and distributed programming. Both are deployed in a real-time simulation with OPAL-RT and a network of Raspberry Pis. The response time of each implementation is analyzed to evaluate their respective performance, showing that the Smartlog language is particularly appropriate to smart grids in terms of compacity and simplicity.

关键词： distributed programming distributed database over-voltage regulation smart grids Smartlog

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Scalable Block Reporting for HopsFS 8

Scalable Block Reporting for HopsFS

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IEEE International Congress on Internet of Things (IEEE ICIOT) / IEEE International Congress on Big Data (IEEE BigData Congress) held as part of IEEE World Congress on Services (IEEE SERVICES)

作者： Ismail, Mahmoud Bonds, August Niazi, Salman Haridi, Seif Dowling, Jim KTH Royal Inst Technol Stockholm Sweden Log Clocks AB Stockholm Sweden

ISBN: (纸本)9781728127729

distributed hierarchical file systems typically de-couple the storage of the file system's metadata from the data (file system blocks) to enable the scalability of the file system. This decoupling, however, requires the introduction of a periodic synchronization protocol to ensure the consistency of the file system's metadata and its blocks. Apache HDFS and HopsFS implement a protocol, called block reporting, where each data server periodically sends ground truth information about all its file system blocks to the metadata servers, allowing the metadata to be synchronized with the actual state of the data blocks in the file system. The network and processing overhead of the existing block reporting protocol, however, increases with cluster size, ultimately limiting cluster scalability. In this paper, we introduce a new block reporting protocol for HopsFS that reduces the protocol bandwidth and processing overhead by up to three orders of magnitude, compared to HDFS/HopsFS' existing protocol. Our new protocol removes a major bottleneck that prevented HopsFS clusters scaling to tens of thousands of servers.

关键词： distributed hierarchical file systems distributed database Block reporting.

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A Reputation Replica Propagation Strategy for Mobile Users in Mobile distributed database System

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INTERNATIONAL JOURNAL OF GRID AND distributed COMPUTING 2012年第4期5卷 55-64页

作者： Tarun, Sashi ARNI Univ Arni Sch Comp Sci & Applicat Dept ASCSA Indora 176402 Himachal Prades India

In this paper, it is to focus on two areas, primarily data inconsistency problems faced by the mobile database users when they are trying to accessing or updating the database data while mobility in work, in such environment demand for appropriate strategies arises, to overcome this problem. When users come in contact with other network node, updated data is not reflected or propagated at the other sites or nodes, which is previously updated or changed at previous visited site or at activity center. Secondly, require advance replication architecture and effective network protocol based algorithms follows effective replication strategy that securely supports databases changes activities anytime and anywhere in mobile computing network environment.

关键词： Mobile Network distributed database Data Inconsistency Replica Management Mobility Propagation Dynamic Replication Activity Center

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Data Management in Time-Domain Astronomy: Requirements and Challenges 1

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1st International Conference on Big Scientific Data Management (BigSDM)

作者： Yang, Chen Meng, Xiaofeng Du, Zhihui Duan, Zhiqiang Du, Yongjie Renmin Univ Sch Informat Beijing Peoples R China Tsinghua Univ Dept Comp Sci & Technol Beijing Peoples R China

ISBN: (数字)9783030280611

ISBN: (纸本)9783030280611;9783030280604

In time-domain astronomy, we need to use the relational database to manage star catalog data. With the development of sky survey technology, the size of star catalog data is larger, and the speed of data generation is faster. So, in this paper, we make a systematic and comprehensive introduction to process the data in time-domain astronomy, and valuable research questions are detailed. Then, we list candidate systems usually used in astronomy and point out the advantages and disadvantages of these systems. In addition, we present the key techniques needed to deal with astronomical data. Finally, we summarize the challenges faced by the design of our database prototype.

关键词： distributed database Time-domain astronomy Catalog data

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Scalable Motor Movement Recognition from Electroencephalography using Machine Learning 43

Scalable Motor Movement Recognition from Electroencephalogra...

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43rd IEEE-Computer-Society Annual International Computers, Software and Applications Conference (COMPSAC)

作者： Sharma, Aditi Singh, Shivee Wright, Brian Perry, Alan Woodbridge, Diane Myung-kyung Popa, Abbie M. Univ San Francisco Data Sci Program San Francisco CA 94117 USA

ISBN: (纸本)9781728126074

Electroencephalography (EEG) is a noninvasive and inexpensive means of monitoring brain activity. Because of the low-cost, noninvasive nature of EEG, it may be useful for classification of motor movements when a patient controls a prosthetic device. However, due to the high velocity nature of EEG recordings, the data used in such a classification are often large and may take a long time to process on a local, non-distributed computer. Here we explore the use of a distributed computing architecture for storage and processing of EEG data. We evaluate the classification of EEG recordings during hand movements. We find that processing these data on a distributed system results in much faster classification times (e.g., 726 seconds versus 3925 seconds) without limiting accuracy (e.g., AUC of 0.85).

关键词： Electroencephalography EEG distributed processing distributed database Cloud computing Machine learning Brain computer interface

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