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Article
Introduction to the special issue on self‑managing and hardware‑optimized database systems 2020
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Article
Introduction to the special issue on Self-managing and Hardware-Optimized Database Systems 2019
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Chapter and Conference Paper
Backtrack-Based and Window-Oriented Optimistic Failure Recovery in Distributed Stream Processing
Support transaction property and fault-tolerance is the key to applying stream processing to industry-scale applications; however the corresponding latency overhead must be minimized for accommodating real-tim...
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Chapter
Cut-and-Rewind: Extending Query Engine for Continuous Stream Analytics
Combining data warehousing and stream processing technologies has great potential in offering low-latency data-intensive analytics. Unfortunately, such convergence has not been properly addressed so far. The c...
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Article
Open AccessFault Tolerant Distributed Stream Processing based on Backtracking
Since distributed stream analytics is treated as a kind of cloud service, there exists a pressing need for its reliability and fault-tolerance, to guarantee the streaming data tuples to be processed in the ord...
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Chapter and Conference Paper
Page-Flow in Query Engine Grid
As scaling out applications with multiple servers has become a popular industry practice, we investigate collaborating distributed Query Engines (QEs) to support graph-structured SQL dataflow processes. A SQL ...
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Chapter and Conference Paper
Live Analytics Service Platform
Business intelligence has traditionally focused on analysis and reporting of structured data extracted from enterprise on-line transaction processing systems. There is an increase in interest in recent years i...
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Chapter
Open Streaming Operation Patterns
We describe our canonical dataflow operator framework for distributed stream analytics. This framework is characterized by the notion of open-executors. A dataflow process is composed by chained operators which f...
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Chapter and Conference Paper
A New Paradigm for Collaborating Distributed Query Engines
In this work we focus on using Distributed Caching Platform (DCP) to scale out database applications and to support relational data communication of multiple individual query-engines in a general graph-structu...
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Chapter and Conference Paper
R-Proxy Framework for In-DB Data-Parallel Analytics
R is a powerful programming environment for data analysis. However, when dealing with big data in R, a kind of main-memory based functional programming environment, the data movement and memory swap** become...
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Chapter and Conference Paper
Open Execution Engines of Stream Analysis Operations
In this paper we describe our massively parallel and elastic stream analysis platform; it is capable of supporting the graph-structured dataflow process with each logical operator executed by multiple physical in...
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Chapter and Conference Paper
MemcacheSQL A Scale-Out SQL Cache Engine
Real-time enterprise applications and data-intensive analytics often require very low latency access to large volumes of data. In-memory data cache is a promising approach to enable real-time analytics. In thi...
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Chapter and Conference Paper
The Fix-Point Method for Discrete Events Simulation Using SQL and UDF
In this work we focus on leveraging SQL’s expressive power and query engine’s data processing capability for large scale discrete event simulation.
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Chapter and Conference Paper
SQL Streaming Process in Query Engine Net
The massively growing data volume and the pressing need for low latency are pushing the traditional store-first-query-later data warehousing technologies beyond their limits. Many enterprise applications are n...
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Chapter and Conference Paper
Query Engine Grid for Executing SQL Streaming Process
Many enterprise applications are based on continuous analytics of data streams. Integrating data-intensive stream processing with query processing allows us to take advantage of SQL’s expressive power and DBMS...
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Chapter and Conference Paper
Continuous Access to Cloud Event Services with Event Pipe Queries
When cloud services become popular, how to consume a cloud service efficiently by an enterprise application, as the client of the cloud service either on a device or on the application tier of the enterprise s...
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Chapter and Conference Paper
SFL: A Structured Dataflow Language Based on SQL and FP
SFL (pronounced as Sea-Flow) is an analytics system that supports a declarative language that extends SQL for specifying the dataflow of data-intensive analytics. The extended SQL language is motivated by prov...
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Chapter and Conference Paper
GPU-Accelerated Predicate Evaluation on Column Store
Column scan, or predicate evaluation and filtering over a column of data in a database table, is an important primitive for data mining and data warehousing. In this paper, we present our study on accelerating...
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Chapter and Conference Paper
Generalized UDF for Analytics Inside Database Engine
Running analytics computation inside a database engine through the use of UDFs (User Defined Functions) has been investigated, but not yet become a scalable approach due to several technical limitations. One l...
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Chapter and Conference Paper
Scale Out Parallel and Distributed CDR Stream Analytics
In the era of information explosion, huge amount of data are generated from various sensing devices continuously, which are often too low level for analytics purpose, and too massive to load to data-warehouses...
