State machine replication protocols, like MultiPaxos and Raft, are a critical component of many distributedsystems and databases. However, these protocols offer relatively low throughput due to several bottlenecked c...
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The planetary data system (PDS) is an active science data archive consisting of approximately five terabytes of peer-reviewed science data stored on compact disk media. The PDS standards require that the meta-data nec...
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The planetary data system (PDS) is an active science data archive consisting of approximately five terabytes of peer-reviewed science data stored on compact disk media. The PDS standards require that the meta-data necessary for understanding the context under which the data were collected be included as part of the archive. The distributed inventory system (DIS) uses this meta-data to provide interoperability across nodes of this scientific digital library. The current implementation of the DIS uses the Meta-Data List Server (MEDALIS) engine, a common gateway interface (CGI) script written in PERL. The engine is queried using hypertext transfer protocol (HTTP) messages.
Maintaining consistency between the actual state of the real-time object of the external environment and its images as reflected by all its replicas distributed over multiple nodes is one of the most important issue a...
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We discuss a knowledge discovery (KDD) tool which condenses a large number of related attributes into a few which are a weighted combination of the original attributes. These new attributes, known as principal compone...
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We discuss a knowledge discovery (KDD) tool which condenses a large number of related attributes into a few which are a weighted combination of the original attributes. These new attributes, known as principal component in the statistical literature, may be used either to preprocess the data for input to other KDD tools or to identify patterns, using domain knowledge. We have also develop an architecture and data model for the management of heterogeneous distributeddatabases which facilitates the efficient extraction of distributed data. Efficient processing is a necessary precursor to KDD in such large and heterogeneous databases which are where the full potential of data mining is likely to be realised. We concentrate on providing a fast and efficient DBMS for large, distributed heterogeneous databases. Such a structure is essential if KDD is to become a practicable methodology. However, there is also scope for improving the performance of the statistical algorithm which extracts the principal components, by utilising fast eigenvalue algorithms which have been developed for parallel architectures and parallel hardware.
The huge computation demand of deep learning models and limited computation resources on the edge devices calls for the cooperation between edge device and cloud service by splitting the deep models into two halves. H...
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To meet the demands in image storage and management, *** was developed to take advantage of technologies surrounding and supporting the Internet and corporate Intranets. It meets the challenges of presenting corporate...
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To meet the demands in image storage and management, *** was developed to take advantage of technologies surrounding and supporting the Internet and corporate Intranets. It meets the challenges of presenting corporate documents and database information by allowing users to search, retrieve and distribute files using key words, thumbnails and desktop applications. It is built on the Intranet and Internet's TCP/IP, SQL database architecture, Hierarchical Storage Management and Native file support. It is written in Java to give improved performance in the user interface and provides dynamic interaction at the workstation and on the server.
Geo-distributed private chain and database have created higher performance requirements for consistency models. However, with millisecond network latency between nodes, the widely used leader-based SMR models cause fr...
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An ontology development environment called Ontolingua provides a suite of ontology authoring and translation tools and a library of modular reusable ontologies. The system is oriented toward authoring ontologies by as...
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An ontology development environment called Ontolingua provides a suite of ontology authoring and translation tools and a library of modular reusable ontologies. The system is oriented toward authoring ontologies by assembling and extending ontologies obtained from the ontology library. Ontolingua system extended and refined set of ideas regarding the technology required to support ontology development and use. A vision of ontology repositories resident on multiple distributed ontology servers containing large-scale, highly structured ontologies and supported by sophisticated ontology construction, extraction, reformulation, and translation tools is discussed.
Data replication is a common method used to improve the performance of data access in distributed database systems. In this paper, we present an object replication algorithm in distributed database systems (ORAD). We ...
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Application Service Providers (ASPs) obtaining resources from multiple clouds have to contend with different management and control platforms employed by the cloud service providers (CSPs) and network service provider...
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