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Santa Catarina State University, Brazil

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7 Papers

An Efficiency Frontier based Model for Cloud Computing Provider Selection and Ranking

Topics: Strategic Decision Support Systems; Modeling of Distributed Systems; Internet Agents

Authors: Lucas Borges de Moraes ¹ , Pedro Cirne ² , Fernando Matos ³ , Rafael Stubs Parpinelli ¹ and Adriano Fiorese ¹

Affiliations: ¹ Santa Catarina State University (UDESC), Brazil , ² Instituto de Telecomunicações, Portugal , ³ Federal University of Paraíba (UFPB)

Digital Object Identifier: 10.5220/0006775705430554

Proceedings of ICEIS 2018, ISBN: 978-989-758-298-1

Quick Abstract

Cloud computing become a successful service model that allows hosting and distribution of computational resources all around the world, via Internet and on demand. This success leveraged and popularized its adoption into all major IT companies. Based on this success, a large number of new companies were competitively created as providers of cloud computing services. This fact can difficult the customer ability to choose among those several cloud providers the most appropriate one to attend their requirements and computing needs. Therefore, this work aims to propose a model capable of selecting and ranking cloud providers according the analysis on the most efficient ones using a popular Multicriteria Decision Analysis (MCDA) method called Data Envelopment Analysis (DEA), that calculates efficiency using Linear Programming (LP) techniques. To accomplish that, the efficiency modeling is based on the analysis of each Performance Indicator (PI) values desired by the customer and the available ones in the cloud provider database. An example of the method’s usage is given to illustrate the model operation, selection results and final provider ranking for five hypothetical customer requests and for ten providers.

Related Ontology Subjects/Areas/Topics (7)

Artificial Intelligence and Decision Support Systems	Internet Agents	Software Agents and Internet Computing
Enterprise Information Systems	Modeling of Distributed Systems	Strategic Decision Support Systems
Information Systems Analysis and Specification

A Multi-criteria Scoring Method based on Performance Indicators for Cloud Computing Provider Selection

Topics: Virtual Enterprises; Collaborative Computing; Measurements, Metrics and Evaluation of EA Artefacts and Processes; Databases in the Cloud

Authors: Lucas Borges de Moraes ¹ , Adriano Fiorese ¹ and Fernando Matos ²

Affiliations: ¹ Santa Catarina State University (UDESC), Brazil , ² Federal University of Paraíba (UFPB)

Digital Object Identifier: 10.5220/0006289305880599

Proceedings of ICEIS 2017, ISBN: 978-989-758-248-6

Quick Abstract

Cloud computing is a service model that allows hosting and on demand distribution of computing resources all around the world, via Internet. Thus, cloud computing has become a successful paradigm that has been adopted and incorporated into virtually all major known IT companies (e.g., Google, Amazon, Microsoft). Based on this success, a large number of new companies were competitively created as providers of cloud computing services. This fact hindered the clients’ ability to choose among those several cloud computing providers the most appropriate one to attend their requirements and computing needs. This work aims to specify a logical/mathematical multi-criteria scoring method able to select the most appropriate(s) cloud computing provider(s) to the user (customer), based on the analysis of performance indicator values desired by the customer and associated with every cloud computing provider that supports the demanded requirements. The method is a three stages algorithm that evaluates, scores, sorts and selects different cloud providers based on the utility of their performance indicators for each specific user of the method. An example of the method’s usage is given in order to illustrate its operation.

Related Ontology Subjects/Areas/Topics (4)

Collaborative Computing		Software Agents and Internet Computing		Virtual Enterprises
Enterprise Information Systems

A Trust Reputation Architecture for Virtual Organization Integration in Cloud Computing Environment

Topics: Modeling of Distributed Systems; Virtual Enterprises; Simulation; Collaborative Computing

Authors: Luís Felipe Bilecki ¹ , Adriano Fiorese ¹ and Fernando Matos ²

Affiliations: ¹ Santa Catarina State University (UDESC), Brazil , ² Federal University of Paraíba (UFPB)

Digital Object Identifier: 10.5220/0006276506950702

Proceedings of ICEIS 2017, ISBN: 978-989-758-248-6

Quick Abstract

Virtual Organization (VO) represents a prominent collaboration initiative, where a set of entities share competencies and risks attending a common goal. Moreover, their interactions can be supported in an Internet basis, using Cloud Computing (CC) resources. The VO and CC integration brings several benefits, such as: reduction of costs and maintenance, interoperability, among others. However, there are issues related to privacy, trust and security that need to be addressed. One of the issues observed is how much trust VO members put in the cloud provider (CP), particularly, in a scenario where VO members use the resources provided by a CP to made available their services and in order to interact with other members. Thus, the proposed reputation architecture intends to assist the decision-making processes present in the VO’s life-cycle reputing CP trust. The reputed trust is based on two sources: a) objective (Quality of Service (QoS) indicators) and b) subjective (feedback from users regarding those QoS indicators). The evaluation results show that the architecture is resilient to attacks on subjective trust during the reputation calculation. Also, it is possible to note that the proposed architecture presents an acceptable average time for each one operation, and a significant role during VO’s creation and operation.

Related Ontology Subjects/Areas/Topics (13)

Agents	Enterprise Information Systems	Operational Research
Artificial Intelligence	Information Systems Analysis and Specification	Simulation
Bioinformatics	Methodologies and Technologies	Software Agents and Internet Computing
Biomedical Engineering	Modeling of Distributed Systems	Virtual Enterprises
Collaborative Computing

A Pattern Recognition System for Detecting Use of Mobile Phones While Driving

Topics: Segmentation and Grouping; Machine Learning Technologies for Vision; Color and Texture Analyses; Features Extraction; Object and Face Recognition; Object Detection and Localization; Categorization and Scene Understanding

Authors: Rafael A. Berri ¹ , Alexandre G. Silva ¹ , Rafael S. Parpinelli ¹ , Elaine Girardi ¹ and Rangel Arthur ²

Affiliations: ¹ Santa Catarina State University (UDESC), Brazil , ² University of Campinas (Unicamp), Brazil

Digital Object Identifier: 10.5220/0004684504110418

Proceedings of VISAPP 2014/VISIGRAPP, ISBN: 978-989-758-004-8

Quick Abstract

It is estimated that 80% of crashes and 65% of near collisions involved drivers inattentive to traffic for three seconds before the event. This paper develops an algorithm for extracting characteristics allowing the cell phones identification used during driving a vehicle. Experiments were performed on sets of images with 100 positive images (with phone) and the other 100 negative images (no phone), containing frontal images of the driver. Support Vector Machine (SVM) with Polynomial kernel is the most advantageous classification system to the features provided by the algorithm, obtaining a success rate of 91.57% for the vision system. Tests done on videos show that it is possible to use the image datasets for training classifiers in real situations. Periods of 3 seconds were correctly classified at 87.43% of cases.

Related Ontology Subjects/Areas/Topics (5)

Color and Texture Analyses		Features Extraction		Segmentation and Grouping
Computer Vision, Visualization and Computer Graphics		Image and Video Analysis

A Risk Analysis Method for Selecting Service Providers in P2P Service Overlay Networks

Topic: Virtual Enterprises

Authors: Rafael Giordano Vieira , Omir Correia Alves Junior and Adriano Fiorese

Affiliation: Santa Catarina State University, Brazil

Digital Object Identifier: 10.5220/0004865804770488

Proceedings of ICEIS 2014, ISBN: 978-989-758-028-4

Quick Abstract

In an increasingly competitive market place, the development of collaborative networked environments has become a key factor to companies successfully leverage their business activities. Nevertheless, when these companies get involved in more volatile strategic networks, it is necessary to deal with additional risks that need to be identified, measured, and mitigated through a well defined process. In this sense, this paper aims to specify a method for risk analysis comprising a set of service providers (SPs) in a P2P Service Overlay Network (SON). In this applied, qualitative and essentially exploratory work, the proposed method assesses the level of risk present in a set of previously selected SPs using key performance indicators (KPIs), and measures the viability of a Virtual Organization (VO) formation using those selected SPs. A computational prototype was also specified and used to execute a set of tests to assess the proposed risk analysis method.

Related Ontology Subjects/Areas/Topics (3)

Enterprise Information Systems

Software Agents and Internet Computing

Virtual Enterprises

A NEW APPLICATION FOR 3D-SNAKES - Modelling Electrical Discharges

Topics: Image-Based Modeling and 3D Reconstruction; Motion and Tracking; Retrieval of 3D Objects from Video Sequences; Stereo Vision and Structure from Motion; Model-Based Object Tracking in Image Sequences

Authors: Gilmario Barbosa dos Santos ¹ , Sidney Pinto da Cunha ² and Clesio Luiz Tozzi ³

Affiliations: ¹ University of State of Santa Catarina, Brazil , ² Center of Information Technology Renato Archer, Brazil , ³ University of Campinas, Brazil

Digital Object Identifier: 10.5220/0001803205460553

Proceedings of VISAPP 2009/VISIGRAPP, ISBN: 978-989-8111-69-2

Quick Abstract

A new approach for modelling electrical discharges is proposed. To this purpose, an active contour named 3Dsnake is used that is geometrically represented by a B-spline which evolves in 3D space constrained by internal and external energies. More specifically, this external energy come from a pair of images. This new model is much less dependent on determination of homologous points than the approaches found in the literature for recovering 3D geometry of electrical discharges. In addition, the proposal discussed here is capable of tracking the evolution os the electrical discharge taking into account the time dependence between consecutive pairs of frames in two videos.

Related Ontology Subjects/Areas/Topics (14)

Applications	Methodologies and Methods	Physiological Computing Systems
Computer Vision, Visualization and Computer Graphics	Model-Based Object Tracking in Image Sequences	Retrieval of 3D Objects from Video Sequences
Geometry and Modeling	Motion and Tracking	Software Engineering
Human-Computer Interaction	Motion, Tracking and Stereo Vision	Stereo Vision and Structure from Motion
Image-Based Modeling	Pattern Recognition

AUTOMATIC DATA EXTRACTION IN ODONTOLOGICAL X-RAY IMAGING

Topic: Medical Imaging (Radiology, Magnetic Resonance, Ultrasound, Brain Mapping)

Authors: Douglas E. M. de Oliveira ¹ , Gilson A. Giraldi ¹ , Luiz A. Pereira Neves ² , Adriana G. da Costa ³ and Érica C. Kuchler ³

Affiliations: ¹ National Laboratory for Scientific Computing, Brazil , ² State University of Santa Catarina, Brazil , ³ Federal University of Rio de Janeiro, Brazil

Digital Object Identifier: 10.5220/0001800601410144

Proceedings of IMAGAPP 2009/VISIGRAPP, ISBN: 978-989-8111-68-5

Quick Abstract

Automating the process of analysis in dental x-ray images is receiving increased attention. In this process, teeth segmentation from the radiographic images and feature extraction are essential steps. In this paper, we propose an approach based on thresholding and mathematical morphology for teeth segmentation. First, a thresholding technique is applied based on the image intensity histogram. Then, mathematical morphology operators are used to improve the efficiency of the teeth segmentation. Finally, we perform the boundary extraction and apply the Principal Component Analysis (PCA) to get the principal axes of the teeth and some lengths along it that are useful for dentist diagnosis. The technique is promising and can be extended for other applications in dental x-ray imaging.

Related Ontology Subjects/Areas/Topics (4)