Search results for "cloud computing"

Deep learning model deploying on embedded skin cancer diagnostic device

2020

The number of research papers, where neural networks are applied in medical image analysis is growing. There is a proof that Convolutional Neural Networks (CNN) are able to differentiate skin cancer from nevi with greater accuracy than experienced specialists on average (sensitivity 82% and 73% accordingly).1 Team's latest research2 allows achieving even greater accuracy, by using specific narrow-band illumination. Nevertheless, the overall probability of early skin cancer detection depends on the availability of diagnostic tools. If screening tools will be available to a high number of general practices, the chance of disease detection will increase. The previous research3 shows that scala…

Administrator danych osobowych i przetwarzający dane na zlecenie a chmura obliczeniowa - problemy interpretacyjne

2016

Costs of Using Hybrid Cloud Infrastructure: Towards a General Framework

2012

Cloud computing infrastructure is a state-of-the-art computing as a utility paradigm, offering individuals and organizations instantly-available and scalable computing capacity. Organizations may deploy the cloud infrastructure in own data centers, as a private cloud, or use the public on-demand cloud infrastructure charged on a pay-per-use basis. The organizations may also adopt a hybrid solution, i.e. use public cloud capacity to complement the resources in the private cloud, e.g. during the periods of rapid growth in the demand. One of the important factors that affect the organizations’ decisions to adopt a hybrid cloud is the total cost of acquiring and managing the infrastructure. In …

Dynamic aspects of industrial middleware architectures

2011

A gearbox model for processing large volumes of data by using pipeline systems encapsulated into virtual containers

2020

Software pipelines enable organizations to chain applications for adding value to contents (e.g., confidentially, reliability, and integrity) before either sharing them with partners or sending them to the cloud. However, the pipeline components add overhead when processing large volumes of data, which can become critical in real-world scenarios. This paper presents a gearbox model for processing large volumes of data by using pipeline systems encapsulated into virtual containers. In this model, the gears represent applications, whereas gearboxes represent software pipelines. This model was implemented as a collaborative system that automatically performs Gear up (by using parallel patterns…

Financial aspects of business models : reducing costs and increasing revenues in a cloud context

2018

The emergence of cloud computing induces opportunities for software vendors and for organizations with great storage needs. Indeed, software companies have begun to adopt cloud technologies and offer their software as a service to customers instead of selling software products. As a result, their revenue models have changed, and the diversity and complexity of the resulting pricing models have created both opportunities and impediments to competition in the market. On the other hand, due to the exponentially growing volume of digital content, organizations have an increasing demand for storage and need to choose between private, public, and hybrid storage solutions. This decision requires c…

Multi-objective optimization for computation offloading in mobile-edge computing

2017

Mobile-edge cloud computing is a new cloud platform to provide pervasive and agile computation augmenting services for mobile devices (MDs) at anytime and anywhere by endowing ubiquitous radio access networks with computing capabilities. Although offloading computations to the cloud can reduce energy consumption at the MDs, it may also incur a larger execution delay. Usually the MDs have to pay cloud resource they used. In this paper, we utilize queuing theory to bring a thorough study on the energy consumption, execution delay and price cost of offloading process in a mobile-edge cloud system. Specifically, both wireless transmission and computing capabilities are explicitly and jointly co…

Collaborative Mobile Clouds: An Energy Efficient Paradigm for Content Sharing

2018

On the way toward enabling efficient content distribution, reducing energy consumption and prolonging battery life of mobile equipment, an emerging paradigm, i.e., mobile cloud, which is based on content distribution, was proposed. As a mobile platform that is oriented toward content distribution, mobile cloud is also foreseen as an energy-efficient solution for future wireless networks. The benefits of using CMC for content distribution or distributed computing from social networking perspectives have been studied earlier. In this article, we first present the concepts of CMC and then discuss the energy-efficiency benefits from the system-level point-of-view as well as open challenges in d…

Theoretical Game Approach for Mobile Users Resource Management in a Vehicular Fog Computing Environment

2018

Vehicular Cloud Computing (VCC) is envisioned as a promising approach to increase computation capabilities of vehicle devices for emerging resource-hungry mobile applications. In this paper, we introduce the new concept of Vehicular Fog Computing (VFC). The Fog Computing (FC) paradigm evolved and is employed to enhance the quality of cloud computing services by extending it to the edge of the network using one or more collaborative end-user clients or near-user edge devices. The VFC is similar to the VCC concept but uses vehicles resources located at the edge of the network in order to serve only local on-demand mobile applications. The aim of this paper is to resolve the problem of admissi…

Advantages of Public Cloud Infrastructure in Different Technology Adoption Lifecycle Stages

2012

Independent software vendors (ISV) utilize cloud infrastructure for different reasons. We hypothesize that the motivation to adopt cloud infrastructure-as-a-service (IaaS) changes as the ISV’s product is getting adopted by the market. In this paper we consider how the infrastructure needs of ISVs change along the stages of ISV product’s adoption lifecycle, and analyze the potential benefits of utilizing IaaS in different stages. The analysis is illustrated with the cases of ISV firms with documented use of IaaS. These cases support the hypothesis that different benefits of IaaS are gaining importance along the adoption lifecycle. peerReviewed