DocumentCode
3371057
Title
The Amaranth framework: Probabilistic, utility-based quality of service management for high-assurance computing
Author
Hoover, Carol L. ; Hansen, Jeffery ; Koopman, Philip ; Tamboli, Sandeep
Author_Institution
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear
1999
fDate
1999
Firstpage
207
Lastpage
216
Abstract
System resource management for high-assurance applications such as the command and control of a battle group is a complex problem. These applications often require guaranteed computing services that must satisfy both hard and soft deadlines. In addition, their resource demands can vary significantly over time with bursts of high activity amidst periods of inactivity. A traditional solution has been to dedicate resources to critical application tasks and to share resources among noncritical tasks. With the increasing complexity of high-assurance applications and the need to reduce system costs, dedicating resources is not a satisfactory solution. The Amaranth Project at Carnegie Mellon is researching and developing a framework for allocating shared resources to support multiple quality of service (QoS) dimensions and to provide probabilistic assurances of service. This paper is an overview of the Amaranth framework, the current results from applying the framework, and the future research directions for the Amaranth project
Keywords
command and control systems; fault tolerant computing; quality of service; resource allocation; Amaranth framework; command and control; high-assurance computing; multiple quality of service; system resource management; utility-based quality of service management; Communication system control; Costs; Data communication; Electrical capacitance tomography; Military computing; Quality management; Quality of service; Read only memory; Resource management; Systems engineering and theory;
fLanguage
English
Publisher
ieee
Conference_Titel
High-Assurance Systems Engineering, 1999. Proceedings. 4th IEEE International Symposium on
Conference_Location
Washington, DC
Print_ISBN
0-7695-0418-3
Type
conf
DOI
10.1109/HASE.1999.809496
Filename
809496
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