Parallax - A New Operating System Prototype Demonstrating Service Scaling and Service Self-Repair in Multi-core Servers
This paper describes a prototype demonstrating a new operating system (called Parallax) for the new generation many-core servers. The operating system is designed to address scaling, resource monitoring, dynamic configuration, and self-repair of many-core chip based servers to support distributed co...
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description | This paper describes a prototype demonstrating a new operating system (called Parallax) for the new generation many-core servers. The operating system is designed to address scaling, resource monitoring, dynamic configuration, and self-repair of many-core chip based servers to support distributed computational tasks. The operating system is implemented in assembler language for efficiency and supports C/C++ programming interfaces for high-level programming. The Parallax operating system is based on the DIME network computing model supporting distributed network-centric computing architecture. A parallel signaling network overlay over a network of von Neumann stored program control (SPC) computing nodes is utilized to implement dynamic fault, configuration, accounting, performance, and security management of both the nodes and the network based on business priorities, workload variations and latency constraints. |
doi_str_mv | 10.1109/WETICE.2011.19 |
format | Conference Proceeding |
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ispartof | 2011 IEEE 20th International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2011, p.104-109 |
issn | 1524-4547 2641-8169 |
language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Accounting Cloud Computing Computer architecture Configuration Distributed Computing Distributed Services Management FCAPS (Fault Hardware Kernel Mice Operating System Parallax Parallel Computing Security Security) Management Servers |
title | Parallax - A New Operating System Prototype Demonstrating Service Scaling and Service Self-Repair in Multi-core Servers |
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