Neurological diseases have a devastating impact on millions of individuals and their families. These diseases will continue to constitute a significant research focus for this century. The search for effective treatme...
详细信息
Neurological diseases have a devastating impact on millions of individuals and their families. These diseases will continue to constitute a significant research focus for this century. The search for effective treatments and cures requires multiple teams of experts in clinical neurosciences, neuroradiology, engineering, and industry. Hence, the need to communicate a large amount of information with accuracy and precision is more necessary than ever for this specialty. In this paper, we present a distributed system that supports this vision, which we call the CranialVault Cloud (CranialCloud). It consists in a network of nodes, each with the capability to store and process data, that share the same spatial normalization processes, thus guaranteeing a common reference space. We detail and justify design choices, the architecture and functionality of individual nodes, the way these nodes interact, and how the distributed system can be used to support inter-institutional research. We discuss the current state of the system that gathers data for more than 1,600 patients and how we envision it to grow. We contend that the fastest way to find and develop promising treatments and cures is to permit teams of researchers to aggregate data, spatially normalize these data, and share them. The CranialVault system is a system that supports this vision.
One feature of cloud storage systems is data fragmentation (or sharding) so that data can be distributed over multiple servers and subqueries can be run in parallel on the fragments. On the other hand, flexible query ...
详细信息
One feature of cloud storage systems is data fragmentation (or sharding) so that data can be distributed over multiple servers and subqueries can be run in parallel on the fragments. On the other hand, flexible query answering can enable a database system to find related information for a user whose original query cannot be answered exactly. Query generalization is a way to implement flexible query answering on the syntax level. In this paper we study a clustering-based fragmentation for the generalization operator Anti-Instantiation with which related information can be found in distributed data. We use a standard clustering algorithm to derive a semantic fragmentation of data in the database. The database system uses the derived fragments to support an intelligent flexible query answering mechanism that avoids overgeneralization but supports data replication in a distributed database system. We show that the data replication problem can be expressed as a special Bin Packing Problem and can hence be solved by an off-the shelf solver for integer linear programs. We present a prototype system that makes use of a medical taxonomy to determine similarities between medical expressions.
In this paper we discuss the negative impact on monitoring algorithms of working with imprecisely dated data. Two examples from the world of the oil & gas industry are presented and serve to illustrate that this p...
详细信息
In this paper we discuss the negative impact on monitoring algorithms of working with imprecisely dated data. Two examples from the world of the oil & gas industry are presented and serve to illustrate that this problem can be of practical importance. First analytical results show that when signals with significant time variations are monitored, the impact of dating of measurements can be as troublesome (or even worse) than measurement noises. (C) 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
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...
详细信息
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.
An online integration system enables incremental computation shortly after an increment data arrived at the central site. Processing increments serially ensures all data containers are in their updated states for comp...
详细信息
ISBN:
(纸本)9781479977529
An online integration system enables incremental computation shortly after an increment data arrived at the central site. Processing increments serially ensures all data containers are in their updated states for computation of the next increment data. In general, a data container may show up as several arguments in a data integration expression. Serial processing of increments at this data container failed to show its best performance due to expensive IO costs for materialization updates. This paper proposes an online integration system with dynamic scheduling to enable concurrent processing of increments of data. The online integration system allows a series of transformation of a data integration expression into a single increment expression upon the increments of multiple data containers, and generates a data integration plan. The dynamic scheduling system employs a monitoring system and a priority scheduling which is able to dynamically change the data integration plans according to the increment data behavior.
This paper investigates the problem of providing long-running web service transactions that maintain consistency, high availability, and durability. Long running transactions involve human interaction as activities in...
详细信息
ISBN:
(纸本)9781908320520
This paper investigates the problem of providing long-running web service transactions that maintain consistency, high availability, and durability. Long running transactions involve human interaction as activities in the transaction. The human interaction increases the latency of the overall transaction. Implementation options are considered for managing limited resources held by a transaction that contain two or more web service requests separated by human interaction. In our previous work, we proposed a replica update propagation method called the Buddy System, which guaranteed consistency, durability and higher availability of web services. The previous work studied transactions composed of a single coarse-grained request. In this paper, the Buddy System is extended to allow long-running transactions comprising two or more web-service calls separated by human interaction.
Sensitive data is increasingly being hosted online in ubiquitous cloud storage services. Recent advances in multi-cloud service integration through provider multiplexing and data dispersion have alleviated most of the...
详细信息
ISBN:
(纸本)9780769556970
Sensitive data is increasingly being hosted online in ubiquitous cloud storage services. Recent advances in multi-cloud service integration through provider multiplexing and data dispersion have alleviated most of the associated risks for hosting files which are retrieved by users for further processing. However, for structured data managed in databases, many issues remain, including the need to perform operations directly on the remote data to avoid costly transfers. In this paper, we motivate the need for distributed stealth databases which combine properties from structure-preserving dispersed file storage for capacity-saving increased availability with emerging work on structure-preserving encryption for on-demand increased confidentiality with controllable performance degradation. We contribute an analysis of operators executing in map-reduce or map-carry-reduce phases and derive performance statistics. Our prototype, StealthDB, demonstrates that for typical amounts of personal structured data, stealth databases are a convincing concept for taming untrusted and unsafe cloud environments.
The increasing fad of deploying application over the web and store as well as retrieve database to/from particular server. As data stored in distributed manner so scalability, flexibility, reliability and security are...
详细信息
ISBN:
(纸本)9781479962723
The increasing fad of deploying application over the web and store as well as retrieve database to/from particular server. As data stored in distributed manner so scalability, flexibility, reliability and security are important aspects need to be considered while established data management system. There are several systems for database management. After reviewing distributed data aggregation service(DDAS) system which is relying on Blobseer it found that it provide a high level performance in aspects such as data storage as a Blob (Binary large objects) and data aggregation. For complicated analysis and instinctive mining of scientific data, Blobseer serve as a repository backend. WS-Aggregation is the another framework which is viewed as a web services but it is actually carried out aggregation of data. In this framework for executing multi-site queries a single-site interface is provided to the clients. Simple storage service (S3) is another type of storage utility. This S3 system provides an anytime available and low cost service. Kerberos is a method which provides a secure authentication as only authorized clients are able to access distributed database. Kerberos consist of four steps i.e. Authentication Key exchange, Ticket granting service Key exchange, Client/Server service exchange and Build secure communication. Adaptive Huffman method to writing (also referred to as Dynamic Huffman method) is associate accommodative committal to writing technique basic of Huffman coding. It permits compression as well as decompression of data and also permits building the code because the symbols square measure is being transmitted, having no initial information of supply distribution, that enables one-pass cryptography and adaptation to dynamical conditions in data.
The 4.1 version of Bluetooth Low Energy (BLE) specification introduced the support of scatternet topology. As a result, the range limit of the technology is no more present, which enables the creation of extensive, an...
详细信息
ISBN:
(纸本)9781509000531
The 4.1 version of Bluetooth Low Energy (BLE) specification introduced the support of scatternet topology. As a result, the range limit of the technology is no more present, which enables the creation of extensive, and complex network applications. However the modifications were done only in the lower layers, leaving the Attribute Protocol (ATT), and the Generic Attribute Profile (GATT) layers untouched, which is a significant drawback in the development of multihop network applications. In this paper the concept of Service Mediation is introduced, that is based on Named Data Networking (NDN) approach, and not only holds the solution of this problem within, but also shows great potential to create intelligent, automatic and teachable networks and applications. The experimental development and the preliminary validation tests showed satisfactory results also, which enables the approach to be used in real-world environments.
The data replication problem (DRP) describes the task of distributing copies of data records (that is, database fragments) among a set of servers in a distributed database system. For the application of flexible query...
详细信息
ISBN:
(纸本)9783319204246;9783319204239
The data replication problem (DRP) describes the task of distributing copies of data records (that is, database fragments) among a set of servers in a distributed database system. For the application of flexible query answering, several fragments can be overlapping (in terms of tuples in a database table). In this paper, we provide a formulation of the DRP for horizontal fragmentations with overlapping fragments;subsequently we devise a recovery procedure based on these fragmentations.
暂无评论