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 dis...
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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.
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 da...
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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.
With high bandwidth and low latency, the InfiniBand protocol has been widely used in distributed databases and high-performance computing in recent years. Compared to traditional PCI bus, 10 Gigabit Ethernet and Myrin...
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With high bandwidth and low latency, the InfiniBand protocol has been widely used in distributed databases and high-performance computing in recent years. Compared to traditional PCI bus, 10 Gigabit Ethernet and Myrinet technology, InfiniBand in addition to the delay and bandwidth on the dominant and has a better quality of service. This paper first introduces the basic situation and principle of InfiniBand protocol and its application status in high performance computing field. Based on InfiniBand protocol, this paper proposes a high-performance message passing method based on remote direct memory access, such as delay and peak bandwidth Indicators have very good characteristics. The experimental results show that compared with the traditional technology, the improved method proposed in this paper reduces the delay of more than 20% and the bandwidth is more than doubled, and improves the system performance by reducing the transmission time of the control message.
This paper analyzed the security of a database considering the environment of distributed *** are several security mechanisms that are applied to the different types of data that are saved;this research identifies sev...
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This paper analyzed the security of a database considering the environment of distributed *** are several security mechanisms that are applied to the different types of data that are saved;this research identifies several problems for mitigating the security of a distributed *** objective is to define a basic scheme and an abstract algorithm through algorithms using flowchart techniques for a security process in a *** deductive method and the exploratory investigation were used to analyze the information of the articles of the *** resulted in a basic structure based on a three-level architecture,with 3 DES encryption algorithm applied to the request and response;SQL-based encryption for data processing;FPE encryption algorithm for storage in the database;the scheme was presented with its scope and possible limitations;and a prototype of an abstract algorithm expressed with flowchart techniques was *** was concluded that the basic scheme and abstract algorithm presented as an alternative to control access to resources,to provide improved security in a distributed database.
distributed database query optimization is very important in business field. This paper proposes an optimization based on genetic algorithm and immune theory. distributed database query is optimized by genetic coding ...
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ISBN:
(纸本)9781538604977
distributed database query optimization is very important in business field. This paper proposes an optimization based on genetic algorithm and immune theory. distributed database query is optimized by genetic coding and immune vaccine construction. Then, through the experimental data test, it proves that the algorithm has 13% higher efficiency than the standard genetic algorithm, which shows that the algorithm has better performance.
In the last years, remarkable improvements have been made in the ability of distributed database systems performance. A distributed database is composed of some sites which are connected to each other through network ...
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ISBN:
(纸本)9781509047086
In the last years, remarkable improvements have been made in the ability of distributed database systems performance. A distributed database is composed of some sites which are connected to each other through network connections. In this system, if good harmonization isn't made between different transactions, it may result in database incoherence. Nowadays, because of the complexity of many sites and their connection methods, it is difficult to extend different models in distributed database serially. The principle goal of concurrency control in distributed database is to ensure not interfering in accessibility of common database by different sites. Different concurrency control algorithms have been suggested to use in distributed database systems. In this paper, some available methods have been introduced and compared for concurrency control in distributed database.
The database landscape has significantly evolved over the last decade as cloud computing enables to run distributed databases on virtually unlimited cloud resources. Hence, the already non-trivial task of selecting an...
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ISBN:
(数字)9783319671628
ISBN:
(纸本)9783319671628;9783319671611
The database landscape has significantly evolved over the last decade as cloud computing enables to run distributed databases on virtually unlimited cloud resources. Hence, the already non-trivial task of selecting and deploying a distributed database system becomes more challenging. database evaluation frameworks aim at easing this task by guiding the database selection and deployment decision. The evaluation of databases has evolved as well by moving the evaluation focus from performance to distribution aspects such as scalability and elasticity. This paper presents a cloud-centric analysis of distributed database evaluation frameworks based on evaluation tiers and framework requirements. It analysis eight well adopted evaluation frameworks. The results point out that the evaluation tiers performance, scalability, elasticity and consistency are well supported, in contrast to resource selection and availability. Further, the analysed frameworks do not support cloud-centric requirements but support classic evaluation requirements.
In this paper, we propose one comprehensive distributed database transaction method for Infini Band transaction integrity in the distributed heterogeneous environment caused by data and application expansion. The meth...
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In this paper, we propose one comprehensive distributed database transaction method for Infini Band transaction integrity in the distributed heterogeneous environment caused by data and application expansion. The method first integrates the functions of the standard online transaction engine and then uses the optimistic concurrency control technique to deal with the online memory allocation problem. On the one hand, it reduces the delay time of the online transaction and on the other hand, allocates the computing cost of the transaction to the server and the client. In the existing enterprise network environment using YCSB as a benchmark test shows that the different keys under the method of response speed are the fastest. The result shows that this kind of hybrid processing scheme can make full use of the advantages of remote direct memory access and fast network, which can further improve the consistency and reliability of the distributed database system.
In recent years, with the text, images, audio, video and other data doubled because of the rapid development of information technology, we have entered the era of big data. How to effectively analyze and use the data ...
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ISBN:
(纸本)9781509025350
In recent years, with the text, images, audio, video and other data doubled because of the rapid development of information technology, we have entered the era of big data. How to effectively analyze and use the data has been a hot research direction. So the research of distributed database came into being to adapt to this research requirement. Sometimes the traditional genetic algorithm can't generate the optimal query plan. Focusing on this defect of the traditional genetic algorithm, this paper presents an improved genetic search algorithm. The improved algorithm uses the FCM clustering algorithm to classify the data members firstly, and then set up the crossover and mutation probability for each category to solve the problem that the crossover and mutation rate is set too large or too small. Simulation results show that the improved algorithm can find the optimal query execution plan in a relatively short period of time and then improve the query efficiency.
This paper presents the research on the support of block chain technology by distributed database. Block chain technology is the underlying technology framework of universality, which can bring profound changes in the...
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This paper presents the research on the support of block chain technology by distributed database. Block chain technology is the underlying technology framework of universality, which can bring profound changes in the fields of finance, economy, science and technology and even politics. According to the current development of block chain technology, block chain technology will experience Programming the digital encryption system as the main feature of the block chain 1.0 mode, the programmable financial system as the main feature of the block chain 2.0 model and the programmable society as the main feature of the block chain 3.0 model. In this paper, we will elaborate the basic model, basic principle and key technology of block chain technology, and some innovative modes of block chain outside the bit coin system, which are used in the most other block chains that are similar to Bitcoin, and only in some specific aspects of the use of bitmember models more or less variants.
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