For time-delay sensitive applications in moving edge computing scenarios, this paper proposes an offloading strategy with caching mechanism based on genetic-particle swarm optimization algorithm. The strategy combines the above two algorithms to obtain the optimal offloading ratio and caching decision in edge computing offloading. Caching completed and multiple requested tasks and their associated data to the edge cloud minimizes task unload delays. The simulation experiment results demonstrate that this strategy can significantly reduce the delay of mobile edge computing.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.