Benefits of a failure friendly culture, e.g., learning from failure, are widely known in occupational settings. Validated scales have been developed to measure organizational failure culture and individuals' mind-...
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Modelling of articulated figures such as simple hierarchical relationships are suitable for most cases of animation. Typically, for the representation of human and animal figures, a tree topology is sufficient. But co...
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ISBN:
(纸本)9789898565716
Modelling of articulated figures such as simple hierarchical relationships are suitable for most cases of animation. Typically, for the representation of human and animal figures, a tree topology is sufficient. But complex high-dimensional articulated structures with many end-effectors and the movement that can be generated in any joint in any direction, are extremely complex to model. Multi-legged robots made to attend applications which needs the extreme versatility to climb or move into places of very difficult access are more efficient if its joints can perform motion at standard and reverse direction, its segments can be moved by more than one joint and any of its joints can be the root of the motion chain. This article presents an approach to deal with these gaps in modeling the motion topology of legged-robots based on rotation of joints references frames. We also present an aplication of an hybrid algorithm based on Genetic Algorithm and Tabu Search to find a good quality solution to the robot motion sequences.
Elasticity is one of the most known capabilities related to cloud computing, being largely deployed using thresholds. In this way, limits are used to drive resource mangement actions, leading to the following problem ...
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Elasticity is one of the most known capabilities related to cloud computing, being largely deployed using thresholds. In this way, limits are used to drive resource mangement actions, leading to the following problem statements: How can cloud users set the threshold values to enable elasticity in their cloud applications? And what is the impact of the application's load pattern in the elasticity? This article answers these questions for iterative high performance computing applications, showing the impact of both thresholds and load patterns on application performance and resource consumption. To accomplish this, we developed a reactive and PaaS-based elasticity model called AutoElastic and employed it over a private cloud to execute a numerical integration application. Here, we are presenting an analysis of best practices and possible optimizations regarding the elasticity and HPC pair. Considering the results, we observed that the upper threshold influences the application time more than the lower one.
Several real-world optimization problems manipulate discrete variables, involve with many objectives and vary along the time, that is, they are dynamic. Recent works have focused on investigate dynamic multiobjective ...
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ISBN:
(数字)9781728185262
ISBN:
(纸本)9781728185279
Several real-world optimization problems manipulate discrete variables, involve with many objectives and vary along the time, that is, they are dynamic. Recent works have focused on investigate dynamic multiobjective optimization problems (DMOPs), which adds an additional challenge to the search convergence. Some evolutionary strategies have emerged based on the adaptation of consagrated multiobjective algorithms previously proposed for static continuous optimization problems, such as, NSGA-II and MOEA/D. This work presents a novel evolutionary algorithm for dynamic discrete many-objective problems named D-MEANDS. It uses the subjacent search proposed in MEANDS. This algorithm has been successfully investigated in static MOPs and herein we propose some adaptations to be used in DMOPs. A comparative analysis of the new proposal is made using two DMOP evolutionary algorithms from the literature: DNSGA-II and MS-MOEA. A dynamic many-objective version of the knapsack problem (KP), known as dynamic multiobjective knapsack problem (DMKP), was explored. Results using DMKP formulations with 4 and 6 objectives suggest that D-MEANDS is a promising algorithm to deal with DMOPs with many objectives.
In order to have a competitive software industry, it is essential to adopt standards and reference models of software processes quality. However, despite the growing adoption of standards and models, the number of org...
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The elastic provisioning of Virtual Infrastructures (VIs) enables a dynamic management of cloud resources (computing and communication) in order to meet the hosted application's requirements. Thus, to perform elas...
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The elastic provisioning of Virtual Infrastructures (VIs) enables a dynamic management of cloud resources (computing and communication) in order to meet the hosted application's requirements. Thus, to perform elasticity requests, providers usually rely on reallocation mechanisms and policies. The concerns regarding the environment and the operational costs indicate energy consumption of the data centers as recurring topic in providers policies. Moreover, energy-aware provisioning is beneficial for tenants also. Recent cost models have introduced an implicit incentive to use computing and networking resources just when need to avoid high rent costs. However, reallocation and elasticity requests can unbalance the Data Center (DC) unnecessarily increasing the number of active servers. In this paper we propose EAVIRA algorithm, which takes into account the proportional sharing of CPU usage of DC servers to calculate individual usage costs to: disable idle equipments, and reallocate VIs. EAVIRA acts on online requests for elasticity configuration and performs an offline load balancing, triggered by the Infrastructure as a Service (IaaS) provider. Our experimental analysis indicates a reduction of energy consumption and an increasing on acceptance ratio of allocation requests.
In this research, the author addresses the prevalent issues faced by users of cloud services, especially those using Peer-to-Peer (P2P) technology, such as connection losses, security concerns, and poor video quality....
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The use of electronic medias for payment has been increasingly adopted, instead of employing money in currency paper or check directly. Considering this electronic funds transfer (EFT) scenario, we developed a model c...
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ISBN:
(纸本)9781450324694
The use of electronic medias for payment has been increasingly adopted, instead of employing money in currency paper or check directly. Considering this electronic funds transfer (EFT) scenario, we developed a model called GetLB which comprises not only a completely new and efficient scheduler but also a cooperative communication infrastructure for handling heterogeneous and dynamic environments. The scientific contribution consists of a scheduling heuristic that combines static data from transactions and dynamic one from processing nodes to overcome the limitations of Round-Robin. Besides the GetLB's description, this article also presents a prototype evaluation by using both traces and configurations obtained with a real EFT company. Copyright 2014 ACM.
This paper presents a new code compression method in which we merge the Huffman algorithm with the formation of patterns of blocks and three dictionaries. We seek two consecutive blocks in two levels, one of them into...
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