Search Results

As more and more scientific workflows have been deployed and executed in cloud environments, how to optimise the execution efficiency and quality of workflow applications has become an important issue that needs to be addressed. Although many workflow ...

Techniques from data science are increasingly being applied by researchers to security challenges. However, requirements unique to the security domain necessitate painstaking care for the models to be valid and robust. In this paper, we outline a novel ...

Individuals with autism spectrum disorder (ASD) have shown difficulties to integrate auditory and visual sensory modalities. Here we aim to explore if very young infants at genetic risk of ASD show atypicalities in this ability early in development. We ...

Knowledge is a valuable for any organization. The way that the organization creates, identifies, stores, and uses knowledge is important. Data are sources of knowledge. The analytical methods are used to transform data to be information and knowledge. ...

In this paper we present an approach, called MOWS, to select materialized webview in data--intensive websites (DIWS). A webview is a static instance of a dynamic web page. The materialization of webviews consists of storing the results of some requests ...

Achieving a clean separation of concerns is a well known approach to improving system adaptability and evolution. We propose to apply this principle to run-time reconfigurable component models for networked embedded systems. By separating configuration ...

Emerging NoSQL key-value data stores rely on data partitioning and replication to achieve higher levels of availability and scalability. Such design choices typically exhibit a tradeoff in which data freshness is sacrificed in favor of reduced access ...

In recent years scientific workflows have been used for conducting data-intensive and long running simulations. Such simulation workflows have processed and produced different types of data whose quality has a strong influence on the final outcome of ...

Cyber-Physical Systems (CPS) are convergence of real physical world and computation world. CPS systems are rapidly becoming an important development strategies with broad application domains. The key requirements for CPS systems are to support multiple ...

Highly distributed data management platforms (e.g., PNUTS, Dynamo, Cassandra, and BigTable) are rapidly becoming the favorite choice for hosting modern web applications in the cloud. Among other features, these platforms rely on data partitioning, ...

This paper presents a novel approach to the problem of discovering and ranking the characteristics of the data sources and query processing sites in a distributed database system. We model the network as a graph with nodes representing data sources and ...

The proliferation of database-driven web sites (or web-databases) has brought upon a plethora of applications where both Quality of Service (QoS) and Quality of Data (QoD) are of paramount importance to the end users. In our previous work, we have ...