Title here
Summary here
Rate Limiting in Scilab
Here’s the translation of the Go code to Scilab, with explanations in Markdown format suitable for Hugo:
Rate limiting is an important mechanism for controlling resource utilization and maintaining quality of service. Scilab can support rate limiting with timers and events.
First, let’s look at basic rate limiting. Suppose we want to limit our handling of incoming requests. We’ll simulate these requests with a list.
function main()
// Simulate incoming requests
requests = 1:5;
// This timer will trigger every 200 milliseconds
timer_id = timer('TimerFcn', 'process_request()', 'Period', 0.2, 'ExecutionMode', 'fixedSpacing');
// Process requests
for i = 1:length(requests)
process_request();
end
// Clean up
delete(timer_id);
endfunction
function process_request()
global request_index;
if ~exists('request_index', 'local') then
request_index = 1;
end
if request_index <= 5 then
disp(['request ', string(request_index), ' ', string(getdate())]);
request_index = request_index + 1;
end
endfunction
main();In this Scilab implementation, we use a timer to regulate the rate of processing requests. The timer triggers every 200 milliseconds, simulating the rate limiting behavior.
For bursty rate limiting, we can modify our approach:
function main()
// Simulate incoming requests
requests = 1:5;
// Allow initial burst of 3 requests
for i = 1:3
process_request();
end
// Then limit to one request every 200 ms
timer_id = timer('TimerFcn', 'process_request()', 'Period', 0.2, 'ExecutionMode', 'fixedSpacing');
// Wait for all requests to be processed
while get('request_index') <= 5
sleep(100);
end
// Clean up
delete(timer_id);
endfunction
function process_request()
global request_index;
if ~exists('request_index', 'local') then
request_index = 1;
end
if request_index <= 5 then
disp(['request ', string(request_index), ' ', string(getdate())]);
request_index = request_index + 1;
end
endfunction
main();In this bursty version, we allow an initial burst of 3 requests to be processed immediately, then switch to the rate-limited approach for the remaining requests.
Running our program, we would see the first batch of requests handled immediately (the burst), followed by the remaining requests being processed approximately every 200 milliseconds.
Note that Scilab doesn’t have built-in concurrency primitives like channels, so we’ve simulated the rate limiting behavior using timers and global variables. In a real-world scenario, you might need to consider thread-safety and more robust synchronization mechanisms if dealing with truly concurrent operations.