Abstract
Processing IoT applications directly in the cloud may not be the most efficient solution for each IoT scenario, especially for time-sensitive applications. A promising alternative is to use fog and edge computing, which address the issue of managing the large data bandwidth needed by end devices. These paradigms impose to process the large amounts of generated data close to the data sources rather than in the cloud. One of the considerations of cloud-based IoT environments is resource management, which typically revolves around resource allocation, workload balance, resource provisioning, task scheduling, and QoS to achieve performance improvements. In this paper, we review resource management techniques that can be applied for cloud, fog, and edge computing. The goal of this review is to provide an evaluation framework of metrics for resource management algorithms aiming at the cloud/fog and edge environments. To this end, we first address research challenges on resource management techniques in that domain. Consequently, we classify current research contributions to support in conducting an evaluation framework. One of the main contributions is an overview and analysis of research papers addressing resource management techniques. Concluding, this review highlights opportunities of using resource management techniques within the cloud/fog/edge paradigm. This practice is still at early development and barriers need to be overcome.
Highlights
The Internet of Things (IoT) connects everyday devices with each other and with the larger Internet to bring more meaningful interactions between objects and people.The connection process typically brings together sensing, actuating, and control devices.these devices conform to the necessary standard compliant communication protocols
The resource management algorithms are summarised in the table and evaluated according to several metrics that are discussed below
Resource management is about achieving coordination of resources that is highlighted by supervision actions and performed by service providers and users [31]
Summary
The Internet of Things (IoT) connects everyday devices with each other and with the larger Internet to bring more meaningful interactions between objects and people.The connection process typically brings together sensing, actuating, and control devices.these devices conform to the necessary standard compliant communication protocols. The connection process typically brings together sensing, actuating, and control devices. This section first introduces a high-level architectural study of cloud, fog, and edge computing. As a result of the caused high latency, there can be indications of degradation in the Quality-of-Service (QoS) and Quality-of-Experience (QoE). This will influence the reliability level of the system and generate delays in communication, capacity reduction, and excessive energy consumption. Some of the desired features for IoT infrastructures include modest latency, low response time, location awareness, low energy consumption, and portability support
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
