Fernando Luiz Koch

A Cloud Computing Solution for Patient's Data Collection in Health Care Institutions

Existing processes for patients vital data collection require a great deal of labor work to collect, input and analyze the information. These processes are usually slow and error-prone, introducing a latency that prevents real-time data accessibility. This scenario restrains the clinical diagnostics and monitoring capabilities. We propose a solution to automate this process by using “sensors” attached to existing medical equipments that are inter-connected to exchange service. The proposal is based on the concepts of utility computing and wireless sensor networks. The information becomes available in the “cloud” from where it can be processed by expert systems and/or distributed to medical staff. The proof-of-concept design applies commodity computing integrated to legacy medical devices, ensuring cost-effectiveness and simple integration.

Programming deliberative agents for mobile services: the 3APL-M platform

3APL-M is a platform for building deliberative multi-agent systems whose components execute on handheld and embedded computational devices. The solution takes advantage of the 3APL language and definitions, delivers a methodology for building Belief-Desire-Intention inference systems and provides an interface to integrate the applications to the external world. The library is distributed for the Java 2 Micro Edition (J2ME) programming platform, which is widely adopted by the hardware manufactures and available for a myriad of mobile computing devices. The role of agent-based computing for mobile services is explained, the architecture and programming structures are presented and proof-of-concept applications are demonstrated.

Grid-M: Middleware to Integrate Mobile Devices, Sensors and Grid Computing

In this work, we introduce a middleware for grid computing that supports network of sensors, like in a network management environment. We present its features, such as manageability, data communication, services directory, resources discovery and security; discuss about inherent problems, and; propose solutions.

Decentralized Network Management Using Distributed Artificial Intelligence

Centralized approaches to Network Management have demonstrated a clear inadequacy for efficient management of large and heterogeneous computer networks. Considerable research is being carried out on decentralized approaches for network management. This paper presents the work on a practical application of Distributed Artificial Intelligence for computer network management. The objective is to implement a software platform using only Intelligent Autonomous Agents, integrated with the SNMP environment.

Mobile solutions for front-line health workers in developing countries

We introduce an architecture for low-cost mobile Health (mHealth) applications that run on health-workers existing devices. Moreover, we envision extending the phones capabilities with an external to attach “sensor” modules, such as pulse oximeter, ECG and phonocardiogram. Our design principles are frugality and simplicity. We propose a comprehensive solution to aid health-workers in their daily tasks, at a low-cost and high penetration rate.

A Grid-based Intrusion Detection System

This paper presents the problem of intrusion detection in grid environments. Current intrusion detection technology is limited in providing protection against the attacks that may violate the security of grids and we determine the requirements to identify them, propose a distributed grid-based intrusion detection system architecture, and show how it overcomes the limitations of current technology by integrating the detection of the typical host computer and network attacks with the detection of grid-specific attacks and user behavior anomalies.

Simulator improvements to validate the Green Cloud Computing approach

Green Cloud Computing aims at a processing infrastructure that combines flexibility, quality of services, and reduced energy utilization. In order to achieve this objective, the management solution must regulate the internal settings to address the pressing issue of data center over-provisioning related to the need to match the peak demand. In this context, we propose an integrated solution for resource management based on organization models of autonomous agent components. This work introduces the system management model, analyzes the systems behavior, describes the operation principles, and presents a use case scenario. To simulate the approach of organization, theory and implementation of migration policies and reallocation changes were made as improvements in the code of CloudSim framework.

An architecture and algorithm for context-aware resource allocation for digital teaching platforms

Digital Teaching Platforms (DTPs) are aimed to support personalization of classroom education to help optimize the learning process. A trend for research and development exists regarding methods to analyze multimodal data, aiming to infer how students interact with delivered content and understanding student behavior, academic performance, and the way teachers react to student engagement. Existing DTPs can deliver several types of insights, some of which teachers can use to adjust learning activities in real-time. These technologies require a computing infrastructure capable of collecting and analyzing large volumes of data, and, for this, cloud computing is an ideal candidate solution. Nonetheless, preliminary field tests with DTPs demonstrate that applying fully remote services is prohibitive in scenarios with limited bandwidth and a constrained communication infrastructure. Therefore, we propose an architecture for DTPs and an algorithm to promote the adjustable balance between local and federated cloud resources. The solution works by deciding where tasks should be executed, based on resource availability and the quality of insights they may provide to teachers during learning sessions. In this work, we detail the system architecture, describe a proof-of-concept, and discuss the viability of the proposed approach for practical scenarios.

3APL-M platform for deliberative agents in mobile devices

The demonstration presents the 3APL-M platform for building deliberative multi-agent systems whose components execute on resource bounded devices.

The role of agents in intelligent mobile services

In this paper we argue that the agent paradigm offers promising techniques for dealing with the challenges of building intelligent mobile services. We present Agent Oriented Software Engineering as a solution for the problems in designing a new generation of mobile services. To illustrate our position, we present a brief agent-oriented analysis of a mobile commerce scenario.