A traceable method for task replication and
resource allocation of a large-scale
machine type communication network belongs to the technical field of
wireless communication and
mobile edge computing, and comprises the following steps: based on a
Lyapunov optimization theory, establishing physical and
virtual queue quantization constraints, and converting long-term optimization into a drift and penalty
minimization problem of each time slot; decomposing into task replication,
resource block allocation and
edge server queue management sub-problems, and sequentially solving; determining an optimal task replication scheme, and storing the optimal task replication scheme as a first decision-making
voucher; determining a
resource block allocation scheme, and storing the
resource block allocation scheme as a second decision-making
voucher; determining an optimal
edge server queue management scheme which comprises an
edge server task
processing rate and a task discarding amount, and storing the optimal edge
server queue management scheme as a third decision-making
voucher; updating a queue state, packaging the decision-making voucher and the queue state into a periodic transaction, writing the periodic transaction into a block chain, and forming an operation auditing log; according to the method, the optimal balance of long-term operation cost is realized, and the decision-making process has
traceability.