A DSS for distributed computer system design in the presence of multiple conflicting objectives

In this paper, Decision Support System (DSS) from 30 years ago to the near future will be studied to investigate the development trend of DSS. A typical DSS architecture has been described and the requirement of the DSS functionality implementation is illustrated in this article. Because all of the DSSs are projected-oriented, researchers are focused on developing general architecture to adapt as many cases as possible. Researchers begin to investigate the dynamic interaction and multi-criteria for the DSS application. In the near future, with the development of cloud computing, some cloud-based and agent-based DSSs will be adopted to various applications.

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“…Support modeling, data access and analysis. 6. Have an ability to work in both standalone and webbased environment.…”

Section: Requirements For Dssmentioning

confidence: 99%

“…In reference [6], the framework of DSS for distributed computer system has been provided. Optional solutions were explored systematically by this methodology when objectives conflict with each other.…”

Section: A Pastmentioning

confidence: 99%

New trends for Decision Support Systems

Zhang

Yang

Lai

et al. 2012

2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

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“…An organization using this mode of computation, with users, application programs and data in various locations, needs a well-designed DCS to address important issues of system performance, security, cost, and interoperability. A DCS is an inherently stochastic system and its design involves multiple conflicting objectives [23], [42], [51]. At the same time, designers have to deal with a daunting array of standards and commercial products and solutions [10].…”

Section: Introductionmentioning

confidence: 99%

A design framework for e-business infrastructure integration and resource management

Battacharjee

Ramesh²,

Zionts³

2001

IEEE Trans. Syst., Man, Cybern. C

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One of the challenges faced by an enterprise with employees in multiple locations is to design a high performance, secure and interoperable distributed computing system (DCS) to interconnect all locations and operations. The problem is computationally hard; hence, subcomponents of it have been studied in detail. These tend to be complex, predominantly theoretical, and somewhat limited from a practical standpoint in terms of providing an integrated solution. Researchers have indicated the need to study the integrated DCS design problem. We merge the complex components and demonstrate that this intrinsically hard problem can be modeled using a component-wise iterative approach. We present a methodology for resource planning and integration that is simple and practical, and can be applied to real-life problems. The methodology includes performance, cost, security and interoperability issues as DCS design objectives. It distributes data and application systems across multiple locations, and aids in security and interoperability configuration, such that the overall design objectives are satisfied. This is one of the first attempts at combining the various components of DCS design and applying it to a real-life problem. The design framework has been successfully used to design a distributed training system for a large, geographically dispersed organization.

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“…A variety of interesting articles on DSSs can be found in this journal. Dutta and Jain (1985), for example, develop DSSs for distributed computer system design in the presence of multiple conflicting objectives. Jarke (1986) explains how knowledge sharing and negotiation support can be carried out in multiperson DSSs.…”

mentioning

confidence: 99%