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Computer Networks
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Distributed Systems Assignment Help Service | Turnaround Time | Price (USD) |
---|---|---|
Distributed Algorithms | 5 days | $70 |
Fault Tolerance and Recovery | 7 days | $60 |
Distributed Databases | 6 days | $80 |
Scalability and Load Balancing | 4 days | $90 |
Distributed File Systems | 5 days | $75 |
Cloud Computing and Distributed Systems | 3 days | $100 |
- Distributed Systems Assignment Help
- Demonstration of Distributed System Using the Pyro Library
- What Makes Our Distributed Systems Assignment Help Service Stand Out?
- Rich Diversity of Topics Explored by Our Distributed Systems Assignment Experts
- Diverse Payment Options Offered by Our Distributed Systems Assignment Help Service
- Unmatched Originality Offered by Our Distributed Systems Assignment Helpers
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Demonstration of Distributed System Using the Pyro Library
import Pyro4
# Define a remote object
@Pyro4.expose
class Calculator(object):
def add(self, x, y):
return x + y
# Main function to start the Pyro server
def main():
# Start Pyro daemon
daemon = Pyro4.Daemon()
# Register the Calculator object with Pyro name server
uri = daemon.register(Calculator)
# Start the Pyro name server
ns = Pyro4.locateNS()
# Register the URI with a name in the name server
ns.register("example.calculator", uri)
print("Ready.")
# Start the event loop of the Pyro daemon
daemon.requestLoop()
if __name__ == "__main__":
main()
This code sets up a simple distributed system where a remote Calculator object is exposed using Pyro. Students can use this code as a starting point to understand the basics of distributed systems, including remote object invocation and Pyro configuration.
By running and experimenting with this code, students can gain practical experience in setting up and running a distributed system, which is invaluable for understanding real-world applications of distributed computing.
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