One of the most powerful and prominent technologies for knowledge discovery in Decision Support systems is On-line Analytical Processing (OLAP). Most of the traditional OLAP research, and most of the commercial system...
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In recent years, we have seen an increasing number of applications in networking, sensor networks, cloud computing, and environmental monitoring, that aim to monitor, control, and make decisions over large volumes of ...
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The proceedings contain 145 papers. The topics discussed include: accountability and trust in cooperative information systems;privacy in social networks: how risky is your social graph?;differentially private histogra...
The proceedings contain 145 papers. The topics discussed include: accountability and trust in cooperative information systems;privacy in social networks: how risky is your social graph?;differentially private histogram publication;privacy-preserving and content-protecting location based queries;CI-rank: ranking keyword search results based on collective importance;lookup tables: fine-grained partitioning for distributeddatabases;energy efficient storage management cooperated with large data intensive applications;ISOBAR preconditioner for effective and high-throughput lossless data compression;a general method for estimating correlated aggregates over a data stream;on discovery of traveling companions from streaming trajectories;PRAGUE: towards blending practical visual subgraph query formulation and query processing;and searching uncertain data represented by non-axis parallel Gaussian mixture models.
The proceedings contain 36 papers. The topics discussed include: the network adapter: the missing link between MPI applications and network performance;on the efficiency of register file versus broadcast interconnect ...
The proceedings contain 36 papers. The topics discussed include: the network adapter: the missing link between MPI applications and network performance;on the efficiency of register file versus broadcast interconnect for collective communications in data-parallel hardware accelerators;network endpoints for clusters of SMPs;assessing energy efficiency of fault tolerance protocols for HPC systems;using heterogeneous networks to improve energy efficiency in direct coherence protocols for many-core CMPs;energy savings via dead sub-block prediction;scalable thread scheduling in asymmetric multicores for power efficiency;divergence analysis with affine constraints;exploiting concurrent GPU operations for efficient work stealing on multi-GPUs;sparse fast Fourier transform on GPUs and multi-core CPUs;cloud workload analysis with SWAT;and scalable algorithms for distributed-memory adaptive mesh refinement.
Discrete Event Simulation (DES) is one of the major experimental methodologies in several scientific and engineering domains. parallel Discrete Event Simulation (PDES) constitutes a very active research field for at l...
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With the rapid development of Internet of Things (IoT), enormous events are produced everyday. Complex Event Processing (CEP) is the key part of the IoT middleware. Since current hardware and wireless communication te...
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The proceedings contain 32 papers. The topics discussed include: describing component behavior in a distributed system;evaluating software security risks using fuzzy rule based expert system;weakest termination pre-co...
ISBN:
(纸本)9781880843864
The proceedings contain 32 papers. The topics discussed include: describing component behavior in a distributed system;evaluating software security risks using fuzzy rule based expert system;weakest termination pre-conditions for two categories of loop programs;verification of parallel asynchronous load scheduling protocols using domain specific language approach;a model transformation approach towards refactoring use case models based on antipatterns;deduplication algorithms for databases and data warehouses;unifying data relations to enable end-users to navigate over relational data;on consolidating many tenants into a shared B-tree index;tasks scheduling on multiprocessing systems;implementation of data privacy and security in an online student health records system;interplay of logical verification and performance testing in software assurance;and towards forensic readiness and homogeneity of operating system logs.
The advent of affordable, shared-nothing computing systems portends a new class of parallel database management systems (DBMS) for on-line transaction processing (OLTP) applications that scale without sacrificing ACID...
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With the rapid growth of emerging applications like social network analysis, semantic Web analysis and bioinformatics network analysis, a variety of data to be processed continues to witness a quick increase. Effectiv...
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ISBN:
(纸本)9780769549309
With the rapid growth of emerging applications like social network analysis, semantic Web analysis and bioinformatics network analysis, a variety of data to be processed continues to witness a quick increase. Effective management and analysis of large-scale data poses an interesting but critical challenge. Recently, big data has attracted a lot of attention from academia, industry as well as government. This paper introduces several big data processing technics from system and application aspects. First, from the view of cloud data management and big data processing mechanisms, we present the key issues of big data processing, including cloud computing platform, cloud architecture, cloud database and data storage scheme. Following the MapReduce parallel processing framework, we then introduce MapReduce optimization strategies and applications reported in the literature. Finally, we discuss the open issues and challenges, and deeply explore the research directions in the future on big data processing in cloud computing environments.
In software engineering, design patterns are commonly used and represent robust solution templates to frequently occurring problems in software design and implementation. In this paper, we consider performance simulat...
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