61 resultados para socially aware computing


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Finite Element Method (FEM) is widely used in Science and Engineering since 1960’s. The vast majority of FEM software is procedure-oriented. However, this conventional style of designing FEM software encounters problems in maintenance, reuse, and expansion of the software. Recently the object-oriented finite element method attracts the attention of lots of researchers, and now there is a growing interest in this method. In this paper, the object-oriented finite element (OOFE) is briefly introduced. Then the design and development of an integrated OOFE system is described. A comparison of the integrated OOFE system and a procedure-oriented system shows that our OOFE system has many advantages.

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IBM has announced Autonomic Computing as one of its Grand Challenges. A list of characteristics was generated to describe an autonomic computing system. Many researchers and research group have responded positively to the challenge by initiating research around one or two of the characteristics identified by IBM as the requirements for Autonomic Computing. We have addressed the IBMs request to contribute to the challenge by building an autonomic operating system that possesses nearly all IBM characteristics. This paper contains our response to the IBMs Autonomic Computing Challenge.

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In this paper, we propose an architecture of accounting and payment services for service oriented grid computing systems. The proposed accounting and payment services provide the mechanisms for service providers to be paid for authorized use of their resources. It supports the recording of usage data, secure storage of that data, analysis of that data for purposes of billing and so forth. It allows a variety of payment methods, it is scalable, secure, convenient, and reduce the overall cost of payment processing while taking into account, requirements of Grid computing systems.

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The aim of this paper is to show a general design of autonomic elements and initial implementation of a cluster operating system that moves parallel processing on clusters to the computing mainstream using the autonomic computing vision. The significance of this solution is as follows. Autonomic Computing was identified by IBM as one of computing's Grand Challenges. The human body was used to illustrate an Autonomic Computing system that possesses self-knowledge, self-configuration, self optimization, self-healing, and self-protection, knowledge of its environment and user friendliness properties. One of the areas that could benefit from the comprehensive approach created by the autonomic computing vision is parallel processing on non-dedicated clusters. Many researchers and research groups have responded positively to the challenge by initiating research around one or two of the characteristics identified by IBM as the requirements for autonomic computing. We demonstrate here that it is possible to satisfy all Autonomic Computing characteristics.

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Making particular reference to schools’ traditional relationships with CCTS (and the kinds of ‘pretend’ and ‘artificial’ learning/assessment tasks that this relationship has historically produced), this paper details a research and teaching agenda focused on exploring the potential of having students work on tasks with value to local and/or school communities. The paper maps the informing theories and current practices of schools
participating in the ‘knowledge producing schools’ (KPS) agenda. Particular attention is given to the ways in which KPS schools are better positioned to respond to the needs of diverse student/community populations, particularly those students traditionally perceived as ‘at risk’.

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Mobile computing has enabled users to seamlessly access databases even when they are on the move. However, in the absence of readily available high-quality communication, users are often forced to operate disconnected from the network. As a result, software applications have to be redesigned to take advantage of this environment while accommodating the new challenges posed by mobility. In particular, there is a need for replication and synchronization services in order to guarantee availability of data and functionality, (including updates) in disconnected mode. To this end we propose a scalable and highly available data replication and management service. The proposed replication technique is compared with a baseline replication technique and shown to exhibit high availability, fault tolerance and minimal access times of the data and services, which are very important in an environment with low-quality communication links.

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The widespread adoption of cluster computing as a high performance computing platform has seen the growth of data intensive scientific, engineering and commercial applications such as digital libraries, climate modeling, computational chemistry, computational fluid dynamics and image repositories. However, I/O subsystem performance has not been keeping pace with processor and memory performance, and is fast becoming the dominant factor in overall system performance.  Thus, parallel I/O has become a necessity in the face of performance improvements in other areas of computing systems. This paper addresses the problem of parallel I/O scheduling on cluster computing systems in the presence of data replication.  We propose two new I/O scheduling algorithms and evaluate the relative performance of the proposed policies against two existing approaches.  Simulation results show that the proposed policies perform substantially better than the baseline policies.

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The overall performance of a distributed system is often depends on the effectiveness of its interconnection network. Thus, the study of the communication networks for distributed systems is very important, which is the focus of this paper. In particular, we address the problem of fat-tree based interconnection networks performance modeling for multi-user heterogeneous multi-cluster computing systems. To this end, we present an analytical model and validate the model through comprehensive simulation. The results of the simulation demonstrated that the proposed model exhibits a good degree of accuracy for various system organizations and under different working conditions.

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Corporate social responsibility (CSR) has emerged as an important concept for developing countries in recent years. This paper investigates the issues of CSR relating to small businesses that have emerged as a result of market-based reforms in developing countries, where the compliance of voluntary standards, code of conduct and regulations are limited. The paper argues that prevalence of corruption, lack of rule based governance, resource constraints for effective capacity building on the part of the state and lack of awareness have created a weak and unethical corporate culture leading to low levels of CSR in developing countries. Using Bangladesh agriculture sector as an exemplar, this paper investigates how small businesses trading in agricultural inputs with no brand capital and low public visibility are behaving in a socially irresponsible way, in an environment of inadequate regulatory sanctions and compliance by selling contaminated inputs to farmers who are mostly poor and not even aware of their rights. The low levels of CSR is undermining and also threatening the sustainability of the positive impact of the market-based reforms undertaken in this sector. The paper proposes that integrated governance linking state, private sector and civil society can promote good governance and better CSR relating to small businesses .