1,720,991 research outputs found
Cloud Computing for business: Enablers and Inhibitors
The main issues affecting cloud computing are the high costs associated with the transfer of data and the availability of cloud systems. Data transfer costs are rather high especially for those businesses that extensively use document management systems that are characterised by the production of large amounts of transactions and data records. Communication traffic associated with these large data transfers significantly adds to the operational cost as well. In this article we will focus on cloud computing from the perspective of business application and highlight the technology' s potential benefits and shortcomings both in short and long terms
Generalized Spring Tensor Algorithms: with Workflow Scheduling Applications in Cloud Computing
In Cloud Computing, designing an efficient workflow scheduling algorithm is considered as a main goal. Load balancing is one of the most sophisticated methodologies, which can optimize workflow scheduling by distributing the load evenly among available resources. A well-designed load balancing algorithm has significant impact on performance and output in Cloud Computing. Therefore, designing robust load balancing techniques to manage the networks' load has always been a priority. Researchers have proposed and examined different load balancing methods; there is, however, a large knowledge gap in adopting an efficient load balancing algorithm in the Cloud system. This paper describes how a generalized spring tensor, an evolutionary algorithm with mathematical apparatus, can be utilized for a more efficient and effective load management in Cloud Computing. Considering the fluctuation and magnitude of the load, a novel application of workflow scheduling is investigated in the context of various mathematical patterns. The preliminary results of the research show that defining the dependency ratio between workflow tasks in Cloud Computing, results in better resource management, maximized performance and minimized response time while dealing with customer's requests
Steering a Swarm of Autonomous Sailing Vehicles implementing Biomimetic SANET Middleware
This paper describes the incorporation of object tracking heuristics with a dynamic sailing model for surface sailing vessels, using the maneuvering approach by Jouffroy (2009). A simplified dynamic model is simulated, with a path generation scheme and controller for a fundamental maneuver in sailing known as tacking. In addition, this maneuver is incorporated with obstacle algorithms for detection and avoidance. The incorporation of Sensor-Actor Networks (Sanets) in the sailing vessel makes it possible to incorporate sensors in the structure to monitor localized obstacles in an energy efficient manner, while statistical data is relayed to a centralized base station for post-processing and analysis of global environmental conditions
A Smart-Shop System - Mulit-Agent Simulation System for Monitoring Retail Activities
This paper outlines a concept of employing intelligent agents to simulate and deploy a Smart-Shop System for retail environments. The discussion will examine the technical and conceptual challenges, main ideas and the final design rationale. The design model of the Smart-Shop System uses Multi-Agent Simulation Systems (MASS) and distributed middleware frameworks to automate a wide variety of asset monitoring and control tasks in traditional and distributed system concerns, which can be applied to similar application areas. Retail organisations containing any form of physical inventory can benefit from the proposed software solution by allowing assets to be efficiently managed and monitored. This would improve the quality of business trade and strategic marketing to sustain sales growth
Collaborative Target Tracking for Laparoscopic Surgery Simulation utilizing Anticipatory Sanets
Laparoscopic Surgical Simulation tools are an essential training resource for surgeons specializing in laparoscopic surgical procedures. This paper presents a Sensor-Actor Network (Sanet) training environment to simulate laparoscopic medical procedures, with the intention of using anticipatory models for target tracking and navigation. This case study implements the Belief-Desire-Intention (BDI) agent-based software reasoning approach, with neural network processes to demonstrate path trajectory planning effectively aids in the handling of laparoscopic equipment in different predefined scenarios. The immersion of the trainer in the simulation environment provides a qualitative and quantitative method of measuring the trainee's efficiency for post-analysis and feedback in laparoscopic procedures
Intelligent Agents for Educational Environments
This paper outlines a concept of employing intelligent agents to simulate, construct and deploy a Smart Library System for an educational facility. Discussion into the many technical challenges driving the concept, ideas behind this approach and the final design rationale are examined. The design model of the Smart Library System that uses Multi-agent simulation and distributed middleware frameworks can be successfully applied to many similar application areas as a means of automating a wide variety of asset monitoring and control tasks in both traditional and distributed systems concerns. Educational environments containing material such as books, multimedia and laboratory equipment can benefit from the proposed software solution allowing such assets to be efficiently managed and monitored. This subsequently would improve the quality of teaching and training support
Intelligent Tele-Homecare: The Application of Soft-Computing Models in Sensor Agent Network Systems
This paper conceptualises the development of an Intelligent Home Care system to assist health care professionals and carers in providing an enhanced level of support to senior citizens. The social demographics in the developed world indicate a decline in population growth, indicating a need for greater resources to be dedicated towards enhancing the lives of an aging society. Furthermore, the dissociation of extended family structures in modern society results in senior citizens to take greater independence in managing their own lives. With the technological advances in the Tele-Homecare domain, there is an impetus to develop improved computational techniques that reflect the nature of complex systems in medicine and biology
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