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Resource Usage For Adaptive C4i Models In A Heterogeneous Computing Environment by Porter%2c N. Wayne.
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1Resource Usage For Adaptive C4I Models In A Heterogeneous Computing Environment
By Porter, N. Wayne.
"June 1999"
“Resource Usage For Adaptive C4I Models In A Heterogeneous Computing Environment” Metadata:
- Title: ➤ Resource Usage For Adaptive C4I Models In A Heterogeneous Computing Environment
- Author: Porter, N. Wayne.
- Language: en_US,eng
Edition Identifiers:
- Internet Archive ID: resourceusagefor00portpdf
Downloads Information:
The book is available for download in "texts" format, the size of the file-s is: 158.49 Mbs, the file-s for this book were downloaded 130 times, the file-s went public at Wed Oct 07 2015.
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2DTIC ADA366190: Resource Usage For Adaptive C4I Models In A Heterogeneous Computing Environment
By Defense Technical Information Center
The goal of the Management System for Heterogeneous Networks (MSHN) is to provide a resource management system (RMS) to enable adaptive applications to use multiple sets of shared resources while accounting for dynamically changing priorities and environments. This RMS must be capable of providing each subscriber process with its required Quality of Service (which might include security considerations, deadlines, user priorities, and preferences) in a heterogeneous computing environment in which many processes are competing for shared resources. Applying this RMS technology to C4I modeling and simulation applications would enable on-scene Commanders to simulate complex elements of the decision process in order to optimize the use of forces and materiel. The objective of this thesis was to transparently intercept operating system calls made by a robust, C4I modeling application, the Extended Air Defense Simulation (EADSIM), in order to weigh the resources required against the confidence level of the outcomes obtained. Specifically, the goal was to determine resource usage required to run the application using both Monte Carlo simulation and deterministic simulation. MSHN needs this type of information to determine which version of an application to execute, in order to provide the best Quality of Service, while meeting operational deadlines.
“DTIC ADA366190: Resource Usage For Adaptive C4I Models In A Heterogeneous Computing Environment” Metadata:
- Title: ➤ DTIC ADA366190: Resource Usage For Adaptive C4I Models In A Heterogeneous Computing Environment
- Author: ➤ Defense Technical Information Center
- Language: English
“DTIC ADA366190: Resource Usage For Adaptive C4I Models In A Heterogeneous Computing Environment” Subjects and Themes:
- Subjects: ➤ DTIC Archive - Porter, N. Wayne - NAVAL POSTGRADUATE SCHOOL MONTEREY CA - *COMMAND CONTROL COMMUNICATIONS - *COMPUTER COMMUNICATIONS - *COMMUNICATIONS NETWORKS - *HETEROGENEITY - *RESOURCE MANAGEMENT - COMPUTERIZED SIMULATION - AIR DEFENSE - ENVIRONMENTS - MANAGEMENT PLANNING AND CONTROL - DECISION MAKING - THESES - MONTE CARLO METHOD - QUALITY - SHARING - ADAPTIVE SYSTEMS - RESOURCES - DETERMINATION - CONFIDENCE LEVEL.
Edition Identifiers:
- Internet Archive ID: DTIC_ADA366190
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The book is available for download in "texts" format, the size of the file-s is: 216.08 Mbs, the file-s for this book were downloaded 61 times, the file-s went public at Tue Apr 24 2018.
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Abbyy GZ - Additional Text PDF - Archive BitTorrent - DjVuTXT - Djvu XML - Image Container PDF - JPEG Thumb - Metadata - OCR Page Index - OCR Search Text - Page Numbers JSON - Scandata - Single Page Processed JP2 ZIP - chOCR - hOCR -
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3Resource Usage For Adaptive C4I Models In A Heterogeneous Computing Environment
By Porter, N. Wayne.
The goal of the Management System for Heterogeneous Networks (MSHN) is to provide a resource management system (RMS) to enable adaptive applications to use multiple sets of shared resources while accounting for dynamically changing priorities and environments. This RMS must be capable of providing each subscriber process with its required Quality of Service (which might include security considerations, deadlines, user priorities, and preferences) in a heterogeneous computing environment in which many processes are competing for shared resources. Applying this RMS technology to C4I modeling and simulation applications would enable on-scene Commanders to simulate complex elements of the decision process in order to optimize the use of forces and materiel. The objective of this thesis was to transparently intercept operating system calls made by a robust, C4I modeling application, the Extended Air Defense Simulation (EADSIM), in order to weigh the resources required against the confidence level of the outcomes obtained. Specifically, the goal was to determine resource usage required to run the application using both Monte Carlo simulation and deterministic simulation. MSHN needs this type of information to determine which version of an application to execute, in order to provide the best Quality of Service, while meeting operational deadlines.
“Resource Usage For Adaptive C4I Models In A Heterogeneous Computing Environment” Metadata:
- Title: ➤ Resource Usage For Adaptive C4I Models In A Heterogeneous Computing Environment
- Author: Porter, N. Wayne.
- Language: en_US
Edition Identifiers:
- Internet Archive ID: resourceusagefor00port
Downloads Information:
The book is available for download in "texts" format, the size of the file-s is: 309.31 Mbs, the file-s for this book were downloaded 778 times, the file-s went public at Wed Feb 01 2012.
Available formats:
Abbyy GZ - Animated GIF - Archive BitTorrent - Cloth Cover Detection Log - Contents - DjVu - DjVuTXT - Djvu XML - Dublin Core - JPEG Thumb - MARC - MARC Binary - MARC Source - Metadata - OCR Page Index - OCR Search Text - Page Numbers JSON - Scandata - Single Page Original JP2 Tar - Single Page Processed JP2 ZIP - Text PDF - chOCR - hOCR -
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4Resource Usage For Adaptive C4I Models In A Heterogeneous Computing Environment
By Porter, N. Wayne.
The goal of the Management System for Heterogeneous Networks (MSHN) is to provide a resource management system (RMS) to enable adaptive applications to use multiple sets of shared resources while accounting for dynamically changing priorities and environments. This RMS must be capable of providing each subscriber process with its required Quality of Service (which might include security considerations, deadlines, user priorities, and preferences) in a heterogeneous computing environment in which many processes are competing for shared resources. Applying this RMS technology to C4I modeling and simulation applications would enable on-scene Commanders to simulate complex elements of the decision process in order to optimize the use of forces and materiel. The objective of this thesis was to transparently intercept operating system calls made by a robust, C4I modeling application, the Extended Air Defense Simulation (EADSIM), in order to weigh the resources required against the confidence level of the outcomes obtained. Specifically, the goal was to determine resource usage required to run the application using both Monte Carlo simulation and deterministic simulation. MSHN needs this type of information to determine which version of an application to execute, in order to provide the best Quality of Service, while meeting operational deadlines
“Resource Usage For Adaptive C4I Models In A Heterogeneous Computing Environment” Metadata:
- Title: ➤ Resource Usage For Adaptive C4I Models In A Heterogeneous Computing Environment
- Author: Porter, N. Wayne.
- Language: English
Edition Identifiers:
- Internet Archive ID: resourceusagefor109458917
Downloads Information:
The book is available for download in "texts" format, the size of the file-s is: 480.11 Mbs, the file-s for this book were downloaded 116 times, the file-s went public at Thu Nov 19 2020.
Available formats:
Abbyy GZ - Archive BitTorrent - DjVuTXT - Djvu XML - Item Tile - Metadata - OCR Page Index - OCR Search Text - Page Numbers JSON - Scandata - Single Page Processed JP2 ZIP - Text PDF - chOCR - hOCR -
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