An Evaluation of WebAssembly and eBPF as Offloading Mechanisms in the Context of Computational Storage

10/22/2021
by   Wenjun Huang, et al.
0

As the volume of data that needs to be processed continues to increase, we also see renewed interests in near-data processing in the form of computational storage, with eBPF (extended Berkeley Packet Filter) being proposed as a vehicle for computation offloading. However, discussions in this regard have so far ignored viable alternatives, and no convincing analysis has been provided. As such, we qualitatively and quantitatively evaluated eBPF against WebAssembly, a seemingly similar technology, in the context of computation offloading. This report presents our findings.

READ FULL TEXT
research
10/02/2018

The Effect of Data Marshalling on Computation Offloading Decisions

We conducted an extensive set of experiments with an offloading testbed ...
research
09/09/2019

MBWU: Benefit Quantification for Data Access Function Offloading

The storage industry is considering new kinds of storage devices that su...
research
11/15/2017

MAMoC: Multisite Adaptive Offloading Framework for Mobile Cloud Applications

This paper presents MAMoC, a framework which brings together a diverse r...
research
07/25/2019

OPPLOAD: Offloading Computational Workflows in Opportunistic Networks

Computation offloading is often used in mobile cloud, edge, and/or fog c...
research
03/05/2018

Programmable Switch as a Parallel Computing Device

Modern switches have packet processing capacity of up to multi-tera bits...
research
08/04/2023

Knowledge-Driven Multi-Agent Reinforcement Learning for Computation Offloading in Cybertwin-Enabled Internet of Vehicles

By offloading computation-intensive tasks of vehicles to roadside units ...
research
11/06/2017

Game Theoretic Approaches to Massive Data Processing in Wireless Networks

Wireless communication networks are becoming highly virtualized with two...

Please sign up or login with your details

Forgot password? Click here to reset