Delay-aware concurrent data management method for IoT collaborative mobile edge computing environment

摘要

Internet of Things (IoT) is an emergent communication technology connecting heterogeneous users, services and applications for granting seamless support for end-user demands. The heterogeneous nature of the devices and intelligent computing, storage, and processing paradigms are exploited for serving different application requests of the end-user devices. Edge computing inherits the functions of IoT platform to the brim of the user network to grant tardiness-free service/ communication support. This manuscript discusses a novel delay-aware concurrent data management (DCDM) method for IoT collaborative mobile edge computing (MEC) environment. This method categorizes request and response data independently in the edge layer through timeout and request density based optimization. A differential evolution (DE) based optimization is introduced for optimizing the constraints of the framework in favor of concurrent request processing and precise data allocation. This method is tested through appropriate experiments and the corresponding results are verified to prove the consistency of the method. The metrics such as serviced and processed request, response time, resource utilization, and communication span are validated using the experimental results. The performance of the proposed DCDM is compared with the existing methods. (C) 2020 Elsevier B.V. All rights reserved.