## Problem
Currently, even if `LAMBDA_REMOTE_DOCKER=1`, we unzip the zip files in the directory they are in, which is usually /var/lib/localstack, which usually has a bind mount to the host.
On docker desktop, due to the use of grpc-FUSE (on macos), this can be very slow, about 200 times slower than on volumes / directly on the host. With experimental virtio filesystem enabled (also on macos), this can be reduced to about 30 times as slow, but still problematic.
This means a lambda may take a lot of time processing, for each additional layer some more. This especially affects nodejs lambdas with huge node_modules folders.

## Probable solution
At least if `LAMBDA_REMOTE_DOCKER=1`, we should leave the initial zip files on the bind mount (for persistence etc), but the working directories after unzipping should be located on non-bind mounts, to speed up the IO for unzipping.
def execute(
        self,
        func_arn: str,  
        lambda_function: LambdaFunction,
        event: Dict,
        context: LambdaContext = None,
        version: str = None,
        asynchronous: bool = False,
        callback: Callable = None,
        lock_discriminator: str = None,
    ):
        
        from localstack.utils.aws.message_forwarding import lambda_result_to_destination
        def do_execute(*args):
            @cloudwatched("lambda")
            def _run(func_arn=None):
                with contextlib.ExitStack() as stack:
                    if lock_discriminator:
                        stack.enter_context(LAMBDA_ASYNC_LOCKS.locks[lock_discriminator])
                    
                    invocation_time = int(time.time() * 1000)
                    
                    raised_error = None
                    result = None
                    invocation_type = "Event" if asynchronous else "RequestResponse"
                    inv_context = InvocationContext(
                        lambda_function,
                        event=event,
                        function_version=version,
                        context=context,