Dynamic System Activity Profile Forecasting for Improved Resource Selection in Quality of Service based Grid Computing model

Grid computing environments are dynamic and heterogeneous in nature. In order to realize application- specific Quality of Service agreements within a grid, specifications at the level of an application are required. This chapter introduces an XML-based schema language (called the Application Specification Language, ASL) and a corresponding modeling tool that can be used to describe applications in grid computing environments. Such application descriptions allow derivation of guided and autonomic service developments for installation and invocation routines throughout the grid. In order to promote the language and ease the application description process, a domain-specific tool is also introduced. Based on our experience, the ASL in combination with higher level models improves, simplifies and promotes the grid application deployment process while simultaneously minimizing tedious and error-prone tasks such as manual application description composition.

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A Domain-Specific Language for Describing Grid Applications

Grid and Cloud Computing ◽

10.4018/978-1-4666-0879-5.ch201 ◽

2012 ◽

pp. 312-348

Author(s):

Enis Afgan ◽

Purushotham Bangalore ◽

Jeff Gray

Keyword(s):

Quality Of Service ◽

Grid Computing ◽

Specific Language ◽

Domain Specific ◽

Application Deployment ◽

Grid Applications ◽

Computing Environments ◽

Grid Application ◽

Application Specific

Grid computing environments are dynamic and heterogeneous in nature. In order to realize application-specific Quality of Service agreements within a grid, specifications at the level of an application are required. This chapter introduces an XML-based schema language (called the Application Specification Language, ASL) and a corresponding modeling tool that can be used to describe applications in grid computing environments. Such application descriptions allow derivation of guided and autonomic service developments for installation and invocation routines throughout the grid. In order to promote the language and ease the application description process, a domain-specific tool is also introduced. Based on our experience, the ASL in combination with higher level models improves, simplifies and promotes the grid application deployment process while simultaneously minimizing tedious and error-prone tasks such as manual application description composition.

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High performance and grid computing with quality of service control

15th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) ◽

10.1109/snpd.2014.6888711 ◽

2014 ◽

Author(s):

Sadiq M. Sait ◽

Raed Al-Shaikh

Keyword(s):

Quality Of Service ◽

Grid Computing ◽

High Performance ◽

Service Control

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Automatic Detection of Changes in Signal Strength Characteristics in a Wi-Fi Network for an Indoor Localisation System

Sensors ◽

10.3390/s20071828 ◽

2020 ◽

Vol 20 (7) ◽

pp. 1828

Author(s):

Marcin Luckner ◽

Rafał Górak

Keyword(s):

Quality Of Service ◽

Dynamic System ◽

Automatic Detection ◽

Signal Strength ◽

Access Point ◽

Received Signal Strength ◽

Strength Characteristics ◽

The Mean ◽

Indoor Localisation

This paper faces the issue of changing the received signal strength (RSS) from an observed access point (AP). Such a change can reduce the Quality of Service (QoS) of a Wi-Fi-based Indoor Localisation System. We have proposed a dynamic system based on an estimator of RSS using the readings from other APs. Using an optimal threshold, the algorithm recognises an AP that has changed its characteristics. Next, the system rebuilds the localisation model excluding the changed AP to keep QoS. For the tests, we simulated a change in the analysed Wi-Fi network by replacing the measured RSS by an RSS obtained from the same AP model that lies in another place inside the same multi-floor building. The algorithm was evaluated in simulations of an isolated single-floor building, a single-floor building and a multi-floor building. The mean increase of the localisation error obtained by the system varies from 0.25 to 0.61 m after the RSS changes, whereas the error increase without using the system is between 1.21 and 1.98 m. The system can be applied to any service based on a Wi-Fi network for various kinds of changes like a reconfiguration of the network, a local malfunction or ageing of the infrastructure.

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