English

The Effect of Data Marshalling on Computation Offloading Decisions

Networking and Internet Architecture 2018-10-04 v1 Distributed, Parallel, and Cluster Computing Performance

Abstract

We conducted an extensive set of experiments with an offloading testbed to understand the impact that data marshalling techniques have on computation offloading decisions. We find that the popular JSON format to marshall data between client and server comes at a significant computational expense compared to a minimalistic raw data transfer. The computational time is significant in that it affects computation offloading decisions in a variety of conditions. We outline some of these conditions.

Cite

@article{arxiv.1810.01540,
  title  = {The Effect of Data Marshalling on Computation Offloading Decisions},
  author = {Julio A. Reyes-Munoz and Michael McGarry},
  journal= {arXiv preprint arXiv:1810.01540},
  year   = {2018}
}

Comments

6 pages, 5 figures

R2 v1 2026-06-23T04:26:39.957Z