Global ETD Search
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Showing 1 to 20 of 21 for “"Data Replication"”.
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Exploiting Laziness for Improving Performance in Data Replication Management
… we study how to best explore laziness in data replication for the purpose of performance optimization without sacrificing the ability for fault-tolerance. We also study techniques to deal with various types of failures to ensure transaction durability. First, we propose an Optimized 2-Safe …
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Data replication and update propagation in XML P2P data management systems
XML P2P data management systems are P2P systems that use XML as the underlying data format shared between peers in the network. These systems aim to bring the benefits of XML and P2P systems to the distributed data management field. However, P2P systems are known for their lack of central control …
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Personal Information Environment: A Framework for Managing Personal Files across a Set of Devices
… laptops, cellular devices and many more. The data we need for our processing needs is scattered among these devices. The availability of all the scattered data in the devices in use associated to an individual user as one is achieved in a Personal Information Environment. Data recharging is a …
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A Network Surveillance Mechanism to Support Partitioned Operation in Distributed Database Systems
Data replication in distributed database systems is designed to achieve high reliability and availability. In case of network partitioning, the mutual consistency of data may become doubtful unless the transaction processing mechanism puts appropriate limits on its operation.
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HARBOR : an integrated approach to recovery and high availability in an updatable, distributed data warehouse
Any highly available data warehouse will use some form of data replication to ensure that it can continue to service queries despite machine failures. In this thesis, I demonstrate that it is possible to leverage the data replication available in these environments to build a simple yet efficient …
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Smart PIN: performance and cost-oriented context-aware personal information network
… make it difficult for users to handle their data in manual way. Consequently, there is a need for personalised automatic services which would enable data exchange across heterogeneous network and devices. To support these personalised services, user centric approaches for data delivery across …
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Efficient replication of large volumes of data and maintaining data consistency by using P2P techniques in Desktop Grid
… low cost and good performance in institutions. Data-intensive applications require data management in scientific experiments conducted by researchers and scientists in Desktop Grid-based Distributed Computing Infrastructure (DCI). Some of these data-intensive applications deal with large volumes …
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Optimizing interactive analytics engines for heterogeneous clusters
… thesis targets the growing area of interactive data analytics engines. It builds upon a system called Getafix, an intelligent data replication and placement algorithm, and optimizes Getafix for running mixed queries over a heterogeneous cluster. The new algorithm is called Getafix-H, a cluster …
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Concurrency Control in Real-Time Database Systems
A 'real-time database system (RTDBS)' is a database system designed to provide real-time information to data-intensive applications. Each RTDB transaction is associated with a timing constraint, typically in the form of a deadline. It is difficult, in a RTDBS, to meet all timing constraints due to …
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A Statistical Performance Model of Homogeneous Raidb Clusters
… information is steadily rising. Traditionally, database systems have been used for information storage and retrieval. However, with online auctions, rapid Internet searches, and data archival, the need for more powerful database systems is also growing. One type of distributed database is called …
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Towards implementing group membership in dynamic networks : a performance evaluation study
… reliable group multicast, group key management, data replication, and distributed collaboration, makes optimization of its efficiency important. The impact of GM's performance is amplified in dynamic, failure-prone environments with intermittent connectivity and limited bandwidth, such as those …
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Big data storage workload characterization, modeling and synthetic generation
A huge increase in data storage and processing requirements has lead to Big Data, for which next generation storage systems are being designed and implemented. As Big Data stresses the storage layer in new ways, a better understanding of these workloads and the availability of flexible workload …
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DecaFS: A Modular Distributed File System to Facilitate Distributed Systems Education
<p>Data quantity, speed requirements, reliability constraints, and other factors encourage industry developers to build distributed systems and use distributed services. Software engineers are therefore exposed to distributed systems and services daily in the workplace. However, distributed …
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Logical timestamps in distributed transaction processing systems
… transactions are such transactions with remote data access. They usually suffer from high network latency (compared to the internal overhead) during data operations on remote data servers, and therefore lengthen the entire transaction executiont time. This increases the probability of …
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HIGH PERFORMANCE DISTRIBUTED TRANSACTIONS FOR MULTI-REGION DATABASE SYSTEMS
… has spurred the demand for a more advanced database system layer in multi-region cloud infrastructures. This layer should provide a strongly consistent interface, abstracting the complexity of distributed computing so developers can focus on application logic without worrying about data race …
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Efficient replication of large data objects
Replication is an important technique for improving the reliability and scalability of data services. The primary problem encountered in replication is the trade-off between amount of replication, performance, and consistency. A rule of thumb states that any replication algorithm must sacrifice at …
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Real Time Throughput Estimation and Optimization
Obtaining optimal data transfer performance is of utmost importance to today's data-intensive distributed applications and wide-area data replication services to meet stringent networking demands. Tuning application-layer protocol parameters such as pipelining, parallelism, and concurrency can …
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Overcoming barriers in data warehouse replatforming
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo terms
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Protection and efficient management of big health data in cloud environment
Healthcare data has become a great concern in the academic world and in industry. The deployment of electronic health records (EHRs) and healthcare-related services on cloud platforms will reduce the cost and complexity of handling and integrating medical records while improving efficiency and …
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