Fuzzy Systems-as-a-Service in Cloud Computing

Abstract

Fuzzy systems have become widely accepted and applied in a host of domains such as control, electronics or mechanics. The software for construction of these systems has traditionally been exploited from tools, platforms and languages run on-premise computing infrastructure. On the other hand, rise and ubiquity of the cloud computing model has brought a revolutionary way for computing services deployment. The boost of cloud services is leading towards increasingly specific service offering just as data mining and machine learning service. Unfortunately, so far, no definition for fuzzy system as service is available. This paper identifies this opportunity and focus on developing a proposal for fuzzy system-as-a-service definition. To achieve this, the proposal pursues three objectives: the complete description of cloud services for fuzzy systems using semantic technology, the composition of services and the exploitation of the model in cloud platforms for integration with other services. As an illustrative case, a real-world problem is addressed with the proposed specification.

A Comparative Study of Stand-alone and Cloud-Based Fuzzy Logic Systems for Human Fall Detection

“…It is a collection of classes and methods for precedent set and associated parameter estimations of a Takagi-Sugeno (TS) fuzzy system from data with the Simpful library. Royon et al [24] proposed a cloud-based scheme based on semantic technology for service-oriented FLSs, namely fsschema. The proposal sought to accomplish three objectives: a detailed specification of cloud services for fuzzy systems based on semantic technology, service configuration, and model utilization in cloud platforms for integrating with other services.…”

Developing a cloud-based service-oriented architecture for fuzzy logic systems

“…A proposal on developing a fuzzy-as-a-service system. Their proposal consisted of three major objectives: a description of cloud services for fuzzy systems using semantic technologies, the composition of services, and the exploitation of cloud computing model in cloud platforms for integration with other services [9].…”

“…The idea of developing fuzzy systems as a service on the cloud has been recently introduced in [8], [9]. A study on cloud-based service-oriented architecture for fuzzy logic systems for human activity recognition was conducted by [10]- [12].…”

Multi-objective load balancing in cloud infrastructure through fuzzy based decision making and genetic algorithm based optimization

“…The term is usually used to define data centers accessible to consumers over the Internet. The service models of cloud computing [1]- [10] are platform as a service (PaaS), infrastructure as a service (IaaS) and software as a service (SaaS) [8], [9]. Hence any user they like to use the above-mentioned services can avail the services after paying the service coast but user always enjoys the uninterrupted services without facing the difficulty of maintaining the same.…”