Simulating Resource Management across the Cloud-to-Thing Continuum: A Survey and Future Directions

Bendechache, Malika; Svorobej, Sergej; Endo, Patrícia Takako; Lynn, Theo

doi:10.3390/fi12060095

Cited by 37 publications

(23 citation statements)

References 68 publications

(146 reference statements)

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“…Discrete wavelet transform (DWT) is a technology that enables image pixels to be transformed into wavelets and used for compression and coding on a wavelet. This technique is beneficial for compressing signals and better results for medical grayscale images [ 47 , 48 ]. By using the set of analysis functions, DWT enables the multi-resolution representation.…”

Section: Methodsmentioning

confidence: 99%

A Novel Image Processing Approach to Enhancement and Compression of X-ray Images

Pourasad

Cavallaro

2021

IJERPH

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At present, there is an increase in the capacity of data generated and stored in the medical area. Thus, for the efficient handling of these extensive data, the compression methods need to be re-explored by considering the algorithm’s complexity. To reduce the redundancy of the contents of the image, thus increasing the ability to store or transfer information in optimal form, an image processing approach needs to be considered. So, in this study, two compression techniques, namely lossless compression and lossy compression, were applied for image compression, which preserves the image quality. Moreover, some enhancing techniques to increase the quality of a compressed image were employed. These methods were investigated, and several comparison results are demonstrated. Finally, the performance metrics were extracted and analyzed based on state-of-the-art methods. PSNR, MSE, and SSIM are three performance metrics that were used for the sample medical images. Detailed analysis of the measurement metrics demonstrates better efficiency than the other image processing techniques. This study helps to better understand these strategies and assists researchers in selecting a more appropriate technique for a given use case.

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Section: Methodsmentioning

confidence: 99%

A Novel Image Processing Approach to Enhancement and Compression of X-ray Images

Pourasad

Cavallaro

2021

IJERPH

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“…Bendechache et al [ 25 ] presented some research articles focused on resource allocation. Some of the explored resource management metrics were divided into two sections: resource provisioning and resource scheduling.…”

Section: Background and Related Workmentioning

confidence: 99%

Resource Management Techniques for Cloud/Fog and Edge Computing: An Evaluation Framework and Classification

Mijuskovic

Chiumento

Bemthuis

et al. 2021

Sensors

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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.

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“…Recent works, such as [15,16], address the topics of cloud-to-things or the cloud-edge continuum, offering detailed surveys about the concepts and their advantages. Both works report dozens of simulators for IoT applications and resource management along this continuum.…”

Section: Related Workmentioning

confidence: 99%

Enabling the Industrial Internet of Things to Cloud Continuum in a Real City Environment

Cabrini

Filho

Rito

et al. 2021

Sensors

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The Industrial Internet of Things (IIoT) is one of the most demanding IoT applications. The insertion of industries in the context of smart cities and other smart environments, allied with new communication technologies such as 5G, brings a new horizon of possibilities and new requirements. These requirements include low latency, the support of a massive quantity of devices and data, and the need to support horizontal communications between devices at the edge level. To make this feasible, it is necessary to establish an IIoT-to-cloud continuum distributing federated brokers across the infrastructure and providing scalability and interoperability. To attend this type of application, we present the Helix Multi-layered IoT platform and its operating modes. We report and discuss its real-world deployment in the Aveiro Tech City Living Lab in Aveiro, Portugal with functional and performance tests. We tested device-to-device communication across edge and core layers and also interconnected the infrastructure with one in São Paulo, Brazil, replicating the use of a global industry. The successful deployment validates the use of a Helix Multi-layered IoT platform as a suitable backend platform for IIoT applications capable of establishing the IIoT-to-cloud continuum. It also helps for the deployment of other applications in such a domain.

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Simulating Resource Management across the Cloud-to-Thing Continuum: A Survey and Future Directions

Cited by 37 publications

References 68 publications

A Novel Image Processing Approach to Enhancement and Compression of X-ray Images

A Novel Image Processing Approach to Enhancement and Compression of X-ray Images

Resource Management Techniques for Cloud/Fog and Edge Computing: An Evaluation Framework and Classification

Enabling the Industrial Internet of Things to Cloud Continuum in a Real City Environment

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