Domain-Specific XML Compression

Moore, John P.; Kheirkhahzadeh, Antonio D.; Bagale, Jiva N.

doi:10.1109/dcc.2013.90

Cited by 4 publications

(7 citation statements)

References 0 publications

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“…Code listing 2 shows the JSON equivalent representation of the sensor XML data above. Knowledge about the data types retrieved from the XML schema allows efficient compression of XML [2] which makes it more competitive in terms of size to JSON and YAML. A schema for the sensor XML data above is available online 1 and its significance for the system is discussed in architecture section below.…”

Section: A Structured Datamentioning

confidence: 99%

“…It uses a set of built-in data types to efficiently compress XML data by applying encoding rules which originated from ASN.1. Data validation is achieved along with compression by adhering to strict encoding which enables loss-less decoding and a better compression ratio and it can operate on constrained hardware and limited network resources too [2]. We have studied XML compression tools such as EXI, XMILL and general text compression tool zlib and it performs better or similar in terms of compression ratio and encode/decode time [16,17].…”

Section: B Packedobjectsmentioning

confidence: 99%

“…However it is mainly used to efficiently compress the data. Also schema aware XML compression which is not used by most of the XML compression tools, is more effective than text based XML compression [2].…”

Section: ) Network Protocol 2) Group Identity 3) Data Compression 4)mentioning

confidence: 99%

“…A predefined meta-data (schema) will be used as a network protocol for the communication and also to optimise the data before being sent over the network. The compression is performed up to bit level by using knowledge about the data [2] and thus helping to reduce the bandwidth usage and to improve the overall performance and scalability. The system will aim to run continuously in the background without interfering much with the device's normal network operations.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Towards a Real-Time Data Sharing System for Mobile Devices

Bagale

Shiyanbola

Moore

et al. 2014

2014 Eighth International Conference on Next Generation Mobile Apps, Services and Technologies

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Mobile devices are increasingly used for information sharing. The sensors embedded inside these devices are generating a range of information about their location, surrounding environment and user activities. This information can be shared with others in real-time so that it can be used or analysed instantaneously. The popularity of participatory sensing involving humans and mobile devices(phones, PDAs, tablets etc) has also fuelled the growth of large scale data management. Although the typical network bandwidth available in mobile devices has been improving it remains limited with the rise in communication activity. Therefore, data could be optimised on the device to make it more suitable for the available network bandwidth. A scalable real-time data sharing system can be built by using existing message formats, messaging architectures and compression techniques. We will look at the bandwidth limitation and scalability issue with special focus on the impact of message compression in such networks.

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Section: A Structured Datamentioning

confidence: 99%

Section: B Packedobjectsmentioning

confidence: 99%

Section: ) Network Protocol 2) Group Identity 3) Data Compression 4)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Towards a Real-Time Data Sharing System for Mobile Devices

Bagale

Shiyanbola

Moore

et al. 2014

2014 Eighth International Conference on Next Generation Mobile Apps, Services and Technologies

View full text Add to dashboard Cite

show abstract

“…This schemainformed compression utilises either XML Schema, RELAX NG schema or DTD to optimize compression. Packedobjects [19], [20], [21] is a library which can be used to efficiently compress an XML DOM by using the information provided by a corresponding XML Schema. The level of compression achieved is very similar to EXI but unlike EXI, Packedobjects is designed to be light-weight and simple to implement.…”

Section: Xml-conscious Compressorsmentioning

confidence: 99%

XML-compression techniques for efficient network management

Kheirkhahzadeh

Moore

Bagale

2013

2013 IEEE Globecom Workshops (GC Wkshps)

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XML has become a standard widely used in wireless networking technologies to improve flexibility and interoperability between heterogeneous applications. However, applying this technology to areas such as network management across a wireless embedded internet can pose significant challenges due to the verbosity of XML. A number of compression techniques and tools have been applied to this problem to help transform highly-structured data into a more compact form. Despite this choice, there is a lack of support for tools which are optimised for embedded computing. In this paper we will show the performance trade-offs that exist when compression is applied using different techniques. Furthermore, we will describe a tool which has been specially designed to be used within the domain of network management within a constrained environment.

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Membrane Gas Separation Processes from Wet Postcombustion Flue Gases for Carbon Capture and Use: A Critical Reassessment

Pfister

Belaissaoui

Favre

2017

Ind. Eng. Chem. Res.

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Membrane processes have been shown to offer interesting separation performances for postcombustion carbon capture and storage (CCS) from coal power plant flue gases. A 90% CO 2 purity and recovery is typically required for that application. This set of constraints does not apply within a carbon capture and use (CCU) scenario, because the objective is to ensure carbon dioxide transformation at minimal cost. In this study, a dense polymeric glassy membrane (Matrimid) and a chemically reacting fixed site carrier membrane (FSCM) are investigated in order to achieve a partial carbon dioxide capture and concentration, which could be of interest in order to intensify the carbon dioxide transformation step. The importance of humidity in the carbon capture performance with solution−diffusion membranes is highlighted: flue gas compression significantly changes the inlet water content of the membrane module, and water decreases the membrane separation performances, increases the specific energy requirement, and decreases the membrane surface area because of an internal sweep effect. On the basis of a case study, the performance of a FSCM is shown to be close to the solution−diffusion membrane performance in terms of surface area and energy requirement. However, the FSCM offers two major advantages compared to the solution−diffusion membrane: compatibility to wet flue gases and high CO 2 purity. A FSCM single-stage module, operated with a 50% CO 2 capture ratio, is suggested to offer the best trade-off for CCU applications with a high carbon dioxide purity (95%) and a low specific surface area and energy requirement.

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Domain-Specific XML Compression

Cited by 4 publications

References 0 publications

Towards a Real-Time Data Sharing System for Mobile Devices

Towards a Real-Time Data Sharing System for Mobile Devices

XML-compression techniques for efficient network management

Membrane Gas Separation Processes from Wet Postcombustion Flue Gases for Carbon Capture and Use: A Critical Reassessment

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