A Fault Tolerant Mechanism for Partitioning and Offloading Framework in Pervasive Environments

TL;DR

This paper proposes a fault tolerant algorithm for application partitioning and offloading in pervasive environments, addressing network disconnections caused by high mobility, and demonstrating adaptability with minimal overhead.

Contribution

It introduces a fault tolerant mechanism that groups devices by reliability and supports multiple policies, enhancing robustness in pervasive application offloading.

Findings

Algorithm adapts to various execution conditions

Minimal overhead incurred during fault tolerance

Effective in high mobility and disconnection scenarios

Abstract

Application partitioning and code offloading are being researched extensively during the past few years. Several frameworks for code offloading have been proposed. However, fewer works attempted to address issues occurred with its implementation in pervasive environments such as frequent network disconnection due to high mobility of users. Thus, in this paper, we proposed a fault tolerant algorithm that helps in consolidating the efficiency and robustness of application partitioning and offloading frameworks. To permit the usage of different fault tolerant policies such as replication and checkpointing, the devices are grouped into high and low reliability clusters. Experimental results shown that the fault tolerant algorithm can easily adapt to different execution conditions while incurring minimum overhead.