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9th IEEE International Conference on Software Engineering and Service Science (ICSESS)

作者： Huang, Xiaoming Shen, Zhen Shanghai Jiao Tong Univ Dept Software Engn 800 Dongchuan Rd Shanghai Peoples R China

ISBN: (纸本)9781538665657

Shared-nothing, distributed database is the core component for modern OLTP application. It uses horizontal partlnonlng to partition data into multiple partlttens to achieves both ACID and scalability. The existing distributed transactions degrade the performance of database, many parntion management systems therefore had been proposed to use graph partmoning to mitigate impact of distributed transactions on performance, These systems run well when amount of data is limited, but consume a lot of resources otherwise, This paper proposed an adaptive chunk tool ACTDP, automatically aggregate the vertices in the graph in such systems by consider both number and weight of each vertex, improves performance of these graph-based partltton management systems.

关键词： OLTp Sb area-nothing distributed database distributed Transaction Graph Partitioning Chunk

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A distributed database view of network tracking systems

A distributed database view of network tracking systems

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20th Conference on Signal and Data Processing of Small Targets

作者： Yosinski, Jason Paffenroth, Randy Numerica Corp Loveland CO 80538 USA

ISBN: (纸本)9780819471604

In distributed tracking systems, multiple non-collocated trackers cooperate to fuse local sensor data into a global track picture. Generating this global track picture at a central location is fairly straightforward, but the single point of failure and excessive bandwidth requirements introduced by centralized processing motivate the development of decentralized methods. In many decentralized tracking systems, trackers communicate with their peers via a lossy, bandwidth-limited network in which dropped, delayed, and out of order packets are typical. Oftentimes the decentralized tracking problem is viewed as a local tracking problem with a networking twist;we believe this view can underestimate the network complexities to be overcome. Indeed, a subsequent 'oversight' layer is often introduced to detect and handle track inconsistencies arising from a lack of robustness to network conditions. We instead pose the decentralized tracking problem as a, distributed database problem, enabling us to draw inspiration from the vast extant literature on distributed databases. Using the two-phase commit algorithm, a well known technique for resolving transactions across a lossy network, we describe several ways in which one may build a distributed multiple hypothesis tracking system from the ground up to be robust to typical network intricacies. We pay particular attention to the dissimilar challenges presented by network track initiation vs. maintenance and suggest a hybrid system that balances speed and robustness by utilizing two-phase commit for only track initiation transactions. Finally, we present simulation results contrasting the performance of such a system with that of more traditional decentralized tracking implementations.

关键词： distributed target tracking distributed database two-phase commit initiation SIAP

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Data Storage Management in a distributed database with Deterministic Limited Communications Windows Between Data Storage Nodes

Data Storage Management in a Distributed Database with Deter...

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Conference on Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense XIII

作者： Straub, Jeremy Univ N Dakota Dept Comp Sci Grand Forks ND 58202 USA

ISBN: (纸本)9781628410112

An orbital service model allows data to be collected, stored and used on different nodes comprising an ad-hoc system where provider craft supply services to consumer craft. Ad-hoc networks and provider-consumer relationships are commonly used in various applications on Earth. The deterministic movement of spacecraft, however, allows the ad-hoc network and service providing model to operate in a different way than would be typical in most terrestrial ad-hoc networks. While long periods of no direct node-to-node connectivity may exist, the periods of connectivity are pre-known based on orbital parameters. Additionally, paths for indirect connectivity can be identified and evaluated for cost effectiveness. This paper presents a data management approach for an orbital computing ad-hoc system. Algorithms for determining where data should be stored (identification of most useful point of storage, whether multiple copies are justified) and how movement should be affected (transfer scheduling, replication, etc.) are presented and evaluated.

关键词： Orbital services data storage management distributed database orbital environment data storage

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A feedback based secure concurrency control for MLS distributed database

A feedback based secure concurrency control for MLS distribu...

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7th International Conference on Computational Intelligence and Multimedia Applications

作者： Kaur, Navdeep Singh, Rajwinder Misra, Manoj Sarje, A. K. Indian Inst Technol Dept Elect & Comp Engn Roorkee 247667 Uttar Pradesh India

ISBN: (纸本)0769530508

Due to covert channel problem, traditional concurrency control protocols cannot be used in multilevel secure database system. Concurrency control protocol for multilevel secure database should ensure that transactions at lower security level are never delayed by higher security level transactions in the event of a data conflict. This may lead to the abortion or re-execution of high security level transactions over and over again making the secure concurrency control protocol unfair towards high security level transactions. In this paper we propose a feedback based secure concurrency control protocol for multilevel secure distributed databases, which ensure fairness property for transactions at different security level. Through a detailed simulation study we examine the fairness and performance of our feedback based secure concurrency control for a variety of workloads.

关键词： distributed database multilevel secure database system feedback based secure concurrency control covert channel

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On distributed database Security Aspects

On Distributed Database Security Aspects

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International Conference on Multimedia Computing and Systems

作者： Zubi, Zakaria Suliman Al Tahadi Univ Fac Sci Dept Comp Sci Sirt Libya

ISBN: (纸本)9781424437566

This paper will examine the underlying features of the distributed database architecture .Learning the task of distributed database management system will lead us to a successful design. The design will improve scalability, accessibility and flexibility while accessing various types of data. Developing a successful distributed database system requires to address the importance of security issues that may arise and possibly compromise the access control and the integrity of the system. We propose some solutions for some security aspects such as multilevel access control, confidentiality, reliability, integrity and recovery that pertain to a distributed database system.

关键词： distributed database security distributed database distributed database management system distributed database retrieval problems discretionary security distributed database query processing

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A design model of distributed database in real-time control

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Annual Review in Automatic Programming 1990年第PART 1期15卷 53-56页

作者： Fang, Bin Peng Tian Qiang China

The problem of traditional distributed database implementation in real-time control is discussed. According to features of data in real-time control distributed system, a enhanced performance design model (EPADM) of distributed database control is presented. Lastly, measurement analysis and some appraizement on EPADM is gived. © 1990.

关键词： comumnication network data distributity distributed control system distributed database enhanced performance design real-time control

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Multivariate Log-based Anomaly Detection for distributed database 24

Multivariate Log-based Anomaly Detection for Distributed Dat...

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30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

作者： Zhang, Lingzhe Jia, Tong Jia, Mengxi Li, Ying Yang, Yong Wu, Zhonghai Peking Univ Beijing Peoples R China

ISBN: (纸本)9798400704901

distributed databases are fundamental infrastructures of today's large-scale software systems such as cloud systems. Detecting anomalies in distributed databases is essential for maintaining software availability. Existing approaches, predominantly developed using Loghub-a comprehensive collection of log datasets from various systems-lack datasets specifically tailored to distributed databases, which exhibit unique anomalies. Additionally, there's a notable absence of datasets encompassing multi-anomaly, multinode logs. Consequently, models built upon these datasets, primarily designed for standalone systems, are inadequate for distributed databases, and the prevalent method of deeming an entire cluster anomalous based on irregularities in a single node leads to a high false-positive rate. This paper addresses the unique anomalies and multivariate nature of logs in distributed databases. We expose the first open-sourced, comprehensive dataset with multivariate logs from distributed databases. Utilizing this dataset, we conduct an extensive study to identify multiple database anomalies and to assess the effectiveness of state-of-the-art anomaly detection using multivariate log data. Our findings reveal that relying solely on logs from a single node is insufficient for accurate anomaly detection on distributed database. Leveraging these insights, we propose MultiLog, an innovative multivariate log-based anomaly detection approach tailored for distributed databases. Our experiments, based on this novel dataset, demonstrate MultiLog's superiority, outperforming existing state-of-the-art methods by approximately 12%.

关键词： Anomaly Detection distributed database Anomaly Injection Multivariate Log Analysis

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SFDDM: A Secure distributed database Management in Combined Fog-to-Cloud Systems 24

SFDDM: A Secure Distributed Database Management in Combined ...

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24th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (IEEE CAMAD)

作者： Sengupta, Souvik Kahvazadeh, Sarang Masip-Bruin, Xavi Garcia, Jordi UPC BarcelonaTech CRAAX Lab Dept Comp Architecture DAC Vilanova I La Geltru Spain

ISBN: (纸本)9781728110165

Technological revolutions have greatly increased the use of IoT devices for our daily life. Driving the fact that everything surrounding us is getting connected what turns into an unstoppable increase in the amount of data produced. This data represents the state of diverse environmental events and helps to control a large set of distinct activities. So, accurate and secure management of this data is essential for any computing platform. Moreover, in order to provide real-time services in a distributed system (i.e., smart city), the data should be properly and securely managed. It is well known that shifting these tasks to the edge (i.e., near to the end users), highly facilitates these two objectives. The recently proposed Fog-to-Cloud (F2C) model is intended to enable data processing near to the edge, which helps to get better latency-sensitive services. However, some challenges remain to accurately and securely manage this data over the system, mainly due to the distributed F2C nature. Thus, considering these facts and challenges, in this paper we propose an architectural solution aimed at building a secure distributed database for F2C systems. Then, considering a real-case scenario, we perform some tests to measure the performance of our proposing schema. Finally, by comparing the performance between traditional cloud, fog/edge based execution model and our proposing SFDDM, we validate the effectiveness of our proposing schema.

关键词： Fog-to-Cloud (F2C) distributed database Internet-of-Thing (IoT) Security and Privacy

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Design And Analysis Of Secure Scheduler For MLS distributed database Systems

Design And Analysis Of Secure Scheduler For MLS Distributed ...

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IEEE International Advance Computing Conference

作者： Kaur, Navdeep Singh, Rajwinder Saini, H. S. Chandigarh Engn Coll Dept Comp Sci & Engn Mohali 40307 Punjab India

ISBN: (纸本)9781424429271

Multilevel security requirements introduce a new dimension to traditional database schedulers as they cause covert channels. To prevent covert channels, scheduler for multilevel secure database should ensure that transactions at low security level are never delayed by high security level transactions in the event of a data conflict. This may subjected to an indefinite delay if it is forced to abort repeatedly to high security level transactions and making the secure scheduler unfair towards high security level transactions [12]. This paper proposes secure database scheduler that is based on both optimistic and locking techniques (SO2PL) for multilevel secure distributed database systems. The proposed database scheduler is free from covert channels without starving the high security level transactions. Through a simulation study we evaluate the performance of the SO2PL and compare it with S2PL scheduler.

关键词： distributed database scheduler Multilevel DDBMS Secure optimistic two phase locking

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Fog Computing with distributed database 32

Fog Computing with Distributed Database

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32nd IEEE International Conference on Advanced Information Networking and Applications (AINA)

作者： Kudo, Tsukasa Shizuoka Inst Sci & Technol Fac Informat Fukuroi Japan

ISBN: (纸本)9781538621950

In recent years, with the progress of IoT, the entry data from various sensors is accumulated on the cloud server and used for various analyses as big data. On the other hand, in order to transfer a large amount of data to the cloud server, there were the problems such as the restriction of network bandwidth, and the delay of feedback control of the sensors. For these problems, Fog computing has been proposed in which the primary processing of the sensor data is performed at the fog node installed near the sensors, and only its processing results are transferred to the cloud server. However, in this method, in the case where the original data of the sensor is required for various analyses at the cloud server, such a data must be transferred additionally. That is, a mechanism is necessary to manage the data of the entire system and to mutually utilize it. In this paper, I propose a data model which consists of three levels: the first level saves the original sensor data and is placed in the fog node;the second level saves the extraction data extracted by the primary processing;the third level saves the analysis results data. The second and third levels are placed in the cloud server. And, by constructing this data model with a distributed database, it can be performed efficiently to refer the arbitrary original sensor data in the fog nodes from the cloud server. Moreover, I implement this reference processing in two ways using MongoDB, which is a kind of NoSQL database, to evaluate this data model. And, I show it is necessary to select the reference way according to the system environment: the network bandwidth, the database performance of the fog node and cloud server, and the number of the fog nodes.

关键词： IoT Fog computing distributed database NoSQL database MongoDB data model

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