The Conceptual View of StreamEPS

10.36227/techrxiv.13381658 ◽

2020 ◽

Author(s):

Frank Appiah

Keyword(s):

Management System ◽

Time Series Data ◽

Data Management System ◽

Series Data ◽

Historical Event ◽

Event Processing ◽

Data Stream Management ◽

Stream Management ◽

Event Information ◽

High Level

These Event processing systems are much used in wide variety of applications in the processing of large stream of events. The most distinguished of applications is the time-series data management system with timely processing to identify trends, pattern matches and forecast future values.The complexity of event information, coupled with the fact that historical event data is being kept in the database, requires the use of an event processing model that provides the user with high-level abstractions. In this paper, I survey the StreamEPS to help developers and researchers alike to understand the conceptual <div>view and processing of the event processing software system. StreamEPS forms part of Complex EventProcessing (CEP), </div><div>Data Stream Management System (DSMS) and Information Flow Processing (IFP) domain.</div>

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Integration of US Army Corps of Engineers' Time-Series Data Management System with Continuous SWMM Modeling.

Advances in Modeling the Management of Stormwater Impacts ◽

10.1201/9781003208945-2 ◽

2021 ◽

pp. 23-44

Author(s):

Yiwen Wang ◽

William James

Keyword(s):

Time Series ◽

Data Management ◽

Management System ◽

Time Series Data ◽

Data Management System ◽

Series Data ◽

Army Corps ◽

Army Corps Of Engineers ◽

Corps Of Engineers ◽

Us Army

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Research on Sequence Query Processing Techniques over Data Streams

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.284-287.3507 ◽

2013 ◽

Vol 284-287 ◽

pp. 3507-3511 ◽

Cited By ~ 5

Author(s):

Edgar Chia Han Lin

Keyword(s):

Query Processing ◽

Data Streams ◽

Management System ◽

Data Stream ◽

Sensor Data ◽

Data Management System ◽

Content Filtering ◽

Data Stream Management ◽

Stream Management ◽

Great Progress

Due to the great progress of computer technology and mature development of network, more and more data are generated and distributed through the network, which is called data streams. During the last couple of years, a number of researchers have paid their attention to data stream management, which is different from the conventional database management. At present, the new type of data management system, called data stream management system (DSMS), has become one of the most popular research areas in data engineering field. Lots of research projects have made great progress in this area. Since the current DSMS does not support queries on sequence data, this project will study the issues related to two types of data. First, we will focus on the content filtering on single-attribute streams, such as sensor data. Second, we will focus on multi-attribute streams, such as video films. We will discuss the related issues such as how to build an efficient index for all queries of different streams and the corresponding query processing mechanisms.

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Integration of US Army Corps of Engineers' Time-Series Data Management System with Continuous SWMM Modeling

Journal of Water Management Modeling ◽

10.14796/jwmm.r195-02 ◽

1997 ◽

Author(s):

Yiwen Wang ◽

◽

William James ◽

Keyword(s):

Time Series ◽

Data Management ◽

Management System ◽

Time Series Data ◽

Data Management System ◽

Series Data ◽

Army Corps ◽

Army Corps Of Engineers ◽

Corps Of Engineers ◽

Us Army

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Research on Multi-Attribute Sequence Query Processing Techniques over Data Streams

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.513-517.575 ◽

2014 ◽

Vol 513-517 ◽

pp. 575-578 ◽

Cited By ~ 2

Author(s):

Edgar Chia Han Lin

Keyword(s):

Query Processing ◽

Data Streams ◽

Management System ◽

Data Stream ◽

Sequence Data ◽

Data Management System ◽

Data Stream Management ◽

Research Areas ◽

Stream Management ◽

Great Progress

Due to the great progress of computer technology and mature development of network, more and more data are generated and distributed through the network, which is called data streams. During the last couple of years, a number of researchers have paid their attention to data stream management, which is different from the conventional database management. At present, the new type of data management system, called data stream management system (DSMS), has become one of the most popular research areas in data engineering field. Lots of research projects have made great progress in this area. Since the current DSMS does not support queries on sequence data, this paper, we will focus on multi-attribute streams, such as video films. We will discuss the related issues such as how to build an efficient index for all queries of different streams and the corresponding query processing mechanisms.

Download Full-text