● Covered by 1 source · 1 reportMedium impact1 neutral
Phantom Network Simulator Outperforms Existing Tools by Co-opting Linux Processes
Key points
- Phantom directly executes unmodified applications as Linux processes.
- It uses process control, system call interposition, and data transfer methods.
- Phantom is up to 2.2x faster than Shadow and 3.4x faster than NS-3.
- It achieved up to 43x faster performance than gRaIL in P2P benchmarks.
Introduction of Phantom Network Simulator
Rob Jansen, Jim Newsome, and Ryan Wails introduced Phantom, a novel tool for conducting distributed system experiments. Phantom addresses the inefficiencies and architectural limitations of current state-of-the-art network simulation tools, which often hinder their widespread adoption for large-scale simulations.
Technical Approach
Phantom's design involves a discrete-event network simulator that directly executes unmodified applications as Linux processes. It integrates efficient process control, system call interposition, and data transfer methods to incorporate these processes into the simulation environment, allowing for realistic and high-performance testing.
Performance Benchmarks
Evaluations show that Phantom significantly outperforms other network simulators. It is up to 2.2 times faster than Shadow, up to 3.4 times faster than NS-3, and up to 43 times faster than gRaIL in large peer-to-peer benchmarks. Phantom also offers comparable performance to Shadow in large Tor network simulations.
Implications for Distributed Systems
The improved performance of Phantom could enhance the development, evaluation, and testing of distributed systems. By providing a more efficient simulation environment, researchers and developers can conduct larger and more complex network experiments, potentially accelerating innovation in this field.
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Reporting from
Researchers from the U.S. Naval Research Laboratory, Tor Project, and Georgetown University developed Phantom, a new network simulation tool that directly executes unmodified applications as Linux processes. Phantom demonstrates significantly faster performance compared to existing simulators like Shadow, NS-3, and gRaIL, which could improve the efficiency of large-scale distributed system experimentation.