In the past few years, the number of sensors is rapidly increasing on the edge of the network. IoT(Internet of things) devices play not only data producers but also data consumers. It is valuable to deploy a distribut...
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ISBN:
(纸本)9783030858995;9783030858988
In the past few years, the number of sensors is rapidly increasing on the edge of the network. IoT(Internet of things) devices play not only data producers but also data consumers. It is valuable to deploy a distributed database on the edge of the network. However, flash memory is the mainstream storage medium on the edge, which is different from cloud environment. Flash memory can wear out through repeated writes while large amount of data are written on the edge per day. Thus, in this paper, SardineDB is presented, which is a decentralized distributed database optimized for edge. The engine of SardineDB is Sardine-Core, which is a flash-optimized key-value separation storage based on LevelDB. SardineCore has low GC (garbage collection) burden, which can be used to low the write amplification and improve the write performance on the edge. From evaluation results, the write performance and random read performance of SardineDB have great advantages compared with existing distributed databases on the edge. As a result, SardineDB is very suitable for edge because it has high write performance, low GC burden and low write amplification.
This paper introduces SMA, a sampling algorithm for mining association rules in distributed database. SMA adopts two-way sampling technique in every website and amalgamates those local samples into a sampling dataset....
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ISBN:
(纸本)9780769536040
This paper introduces SMA, a sampling algorithm for mining association rules in distributed database. SMA adopts two-way sampling technique in every website and amalgamates those local samples into a sampling dataset. In an empirical study, SMA was able to accelerate the speed and improve the accuracy of mining association rules 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.
This paper proposes an intelligent microgrid energy management system (iEMS). It aims to develop and demonstrate an intelligent system at campus site through seamless integration of energy generation, storage and dema...
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ISBN:
(纸本)9781467388450
This paper proposes an intelligent microgrid energy management system (iEMS). It aims to develop and demonstrate an intelligent system at campus site through seamless integration of energy generation, storage and demand management facilities across the electric, thermal, and gas networks. This system will also have an enhanced information and communication technology (ICT) platform for supply and demand management as well as real-time energy market interactions. The major innovations proposed by the iEMS encompass advanced ICT tools such as forecasting, predictive modelling for harmonization of multi-energy grids and enabling real-time energy market interactions for maximizing cost savings without compromising operational effectiveness and grid stability. These innovations serve to either enhance system level energy savings or facilitate system integration by using advanced distributed database system and protocols such as IEEE 1888 for communication and control.
distributed databases have become necessity in the organizations, as applications are require data locally rather than remote locations. It is important to place data where the applications are required to process dat...
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ISBN:
(纸本)9781467345286
distributed databases have become necessity in the organizations, as applications are require data locally rather than remote locations. It is important to place data where the applications are required to process data. Data fragmentation and placement becomes a critical performance issue in distributed database design that has to be placed at different sites based on the usage of data. The performance of the application would become assessed and improved if it is properly fragment and allocate data during early design stages. In this paper, we proposed an algorithm by performing vertical fragmentation technique for the distributed database design for assessing the performance during early design stages. We simulated the algorithm with the case study. We used the proposed algorithm, Attribute Usage Matrix, and Random Number Generation technique for generating the values of Request Query, Arrival of Request, and Query generation. The Simulation results which helps the DBA to assess the performance of the proposed distributed database Design. The tool which helps the DBA to select the optimum design.
Real-time database applications are distributed in nature. Incorporating distributed data into a real-time database framework incurs complexity, associated with transaction concurrency control and database recovery in...
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ISBN:
(纸本)0769513212
Real-time database applications are distributed in nature. Incorporating distributed data into a real-time database framework incurs complexity, associated with transaction concurrency control and database recovery in a distributed context. This article presents an algorithm that manages soft real-time transactions in a distributed database. It uses a specific causal-ordering protocol to ensure the precedence relationships between transactions. Our algorithm is based on a technique, which subdivides transactions into sets. Then the protocol virtually serializes the executions on distributed servers by, using causal phase ordering properties. Causal phases are created according to transactions conflicts that may occur between transactions sets. Transactions of the same phase are scheduled according to their criticality, and transactions of two successive phases are ensured to commit in a causal partial order. This strategy, permits to reduce the execution time, allowing more transactions meeting their deadlines.
distributed databases have become the most essential technology for recent business organizations. The performance, efficiency and availability of a distributed database largely depend on the fragmentation of global r...
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ISBN:
(纸本)9783642178566
distributed databases have become the most essential technology for recent business organizations. The performance, efficiency and availability of a distributed database largely depend on the fragmentation of global relations and the allocation of those fragments at several sites of the network. In Non-Replicated fragment allocation scenario, the optimum allocation of the fragments is the only way, which can be exploited to increase the performance, efficiency, reliability and availability of the distributed database. In this paper, a new dynamic fragment allocation algorithm is proposed in Non-Replicated allocation scenario, which incorporates access threshold, time constraints of database accesses and most importantly the volume of data transmitted to dynamically reallocate fragments to sites at runtime in accordance with the changing access probabilities of nodes to fragments. It will decrease the migration of fragments and data transfer cost and will also improve the overall performance by dynamically reallocating fragments in a most intuitive manner.
At present, with the rapid development of the information industry, database technology has been greatly affected, and distributed database systems have gradually emerged. This article explains in detail the implement...
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This paper presents a parallel CART method for multivariate association query. The amount of communication information is reduced by performing two semi-joins. This method adopts a multi-node parallel method, which gr...
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Query optimization is an important part of database management *** this paper,through the research on query optimization technology,based on a number of optimization algorithms commonly used in distributed query,a new...
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Query optimization is an important part of database management *** this paper,through the research on query optimization technology,based on a number of optimization algorithms commonly used in distributed query,a new algorithm is designed,and experiments show that this algorithm can significantly reduce the amount of intermediate result data,effectively reduce the network communication cost,to improve the optimization efficiency.
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