  Emerging applications such as augmented reality and the tactile Internet are
compute-intensive and latency-sensitive, which hampers their running in
constrained end devices alone or in the distant cloud. The stringent
requirements of such application drove to the realization of Edge computing in
which computation is offloaded near to users. Moreover, these applications are
often executed with similar input data that yield the same output. Compute-less
networking is an extension of edge computing that aims at reducing computation
and abridging communication by adopting in-network computing and computation
reuse. Calculation-reuse aims to cache the result of calculations, and use them
to perform similar tasks in the future and, therefore, avoid redundant
calculations and optimize the use of resources. Since the input might not be
identical but similar, the reuse of previous computation raises questions on
the correctness and accuracy of the final results. In this paper, we study the
correctness of output data in the computation reuse concept and gauge the
effectiveness and efficiency of compute-less networking.
