Distributed Hybrid Genetic Algorithms for the Placement of Adaptive Services in Fog Infrastructures (HIDDEMS)
Cloud computing is a revolution in digital services, but this revolution has led to Cloud computing transcending from large data centers to small devices close to users. In other words, the Cloud catalyzes solutions and infrastructures for the Internet of Things, which has given rise to a new computing paradigm named Fog. In Fog computing, network devices can operate like the Cloud devices themselves, giving rise to new challenges and innovative solutions for society, by bringing computing closer to the end-user.
In this project, we propose to optimize the computational resources of Fog architectures through location policies and the adaptation of the functionalities of the applications, using hybrid genetic algorithms. Optimal management of the resources that make up the production chain is key to improving the sector’s competitiveness. We propose that the implementations of these policies use the infrastructure itself and adapt to it. In other words, our proposed algorithms are dynamic with the very heterogeneity and dispersion of the infrastructure resources and allow dynamically managing sites based on the mobility of the users.
Our initial hypothesis is based on whether policies for the location and adaptation of services based on hybrid GAs obtain better results compared to non-hybrid versions. It is also questioned whether a distributed execution design of these hybrid GAs on the system’s own devices compensates for the generated overhead. For this, the general objective of optimizing the management of resources in Fog Computing environments is proposed by improving the location policies and deployment of adaptive computational services, associated with the specific objectives of I) Define and validate a representation model for the location of adaptive services, II) Adapt and parameterize hybrid GA, III) Establish a load model, preferably based on real data, of the use of Cloud and Fog infrastructures, for the validation of the solutions through experimentation, and IV) Plan and execute hybrid GAs in a distributed manner on the Fog infrastructure.
The working team and their previous contributions and publications guarantee the capacity, specialization, and knowledge for the achievement of the project, in addition to highlighting the collaborations they have already carried out.
Fog computing is an enabling technology for the digitization process of society and companies. The European and national research strategies themselves make this point clear. The European Horizon framework program establishes, within Pillar 2, the cluster of the Digital world, industry, and space where it is specified as areas of intervention, among others, the new generation Internet, artificial intelligence and robotics, and advanced computing and big data. The State Plan for Scientific, Technical, and Innovation Research 2021- 2023 establishes six Strategic Actions that constitute the areas of state smart specialization. Among them is the AE4. Digital World, Industry, Space, and Defense, where its applications as a strategic priority for research, innovation, and technological development.