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

Abstract

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.

Electronic Shopping of Composite Product

“…The following criteria are used ('+' corresponds to positive orientation of an ordinal scale as [1,5] and '-' corresponds to the negative orientation of the scale): (a) cost K a1 (-), brand prestigiousness K a2 (+), useful life K a3 (+), need of maintenance K a4 (-), reliability K a5 (+); (b) cost K b1 (-), brand prestigiousness K b2 (+), upgradeability K b3 (+); (c) credit risk K c1 (-), cost of usage K c2 (+), availability K c3 (+); (d) reliability K d1 (-), cost K d2 (+), service quality K d3 (+), warranty K d4 (-); and (e) cost K e1 (-), need of maintenance K e2 (+), warranty K e3 (+). Fig.…”

“…The procedure of new design is the following. Table 17 contains design alternatives and their estimates (scales [1,5], expert judgment). The design alternatives correspond to superstructure ( Fig.…”

“…In recent decade, the significance of electronic shopping and usage of corresponding recommender systems is increased (e.g., [13], [16], [27], [35], [39], [42], [44]). Here it is reasonable to point out the following basic directions: 1. various recommender systems (e.g., [1], [4], [8], [18], [31], [34], [35], [45]); 2. electronic services for business in electronic environments (e.g., [3], [5], [6], [25], [30], [39], [42], [46]); 3. issues of distributed information retrieval and integration (e.g., [17], [37], [43]); 4. multistage information retrieval (e.g., [33], [48]); 5. design of websites for electronic shopping (e.g., [7], [44], [47]); 6. usage of ontology approaches to web services (e.g., [36]); 7. adaptation of Web sites and systems (e.g., [32]); 8. personalization of Web-based systems (search and recommender systems, etc.) (e.g., [2], [8], [10], [33], [45]); 9. usage of operations research methods and/or AI techniques (e.g., [12], [41]); and 10. some efforts in Web-based product design, e.g., Web-based combining a composite product ( [28], …”

A Decomposition and Guided Simulation Methodology for Large-Scale System Design: A Study in QoS-Capable Intranets with Fixed and Mobile Components

“…We use a tabu-search (Glover and Laguna 1997) based resource-allocation strategy introduced in Bhattacharjee et al (2001) to explore the solution space efficiently and determine a set of effective allocation schemes. Tabu search has been extensively used to solve practical optimization problems in many fields (Laguna 1994, Skorin-Kapov and SkorinKapov 1994, Semet and Taillard 1993, and has been reported to be more efficient than other randomsearch-based techniques such as simulated annealing (April et al 2003).…”

Morphological approach to electronic shopping

“…Here it is reasonable to point out the following basic directions: 1. various recommender systems (e.g., [1], [5], [14], [28], [44], [48], [61]); 2. electronic services for business in electronic environments (e.g., [3], [7], [12], [34], [40], [43], [52], [56], [59], [62], [63]); 3. issues of distributed information retrieval and integration (e.g., [27], [41], [50], [57]); 4. multistage information retrieval (e.g., [26], [46], [65]); 5. design of websites for electronic shopping (e.g., [13], [9], [38], [47], [60], [64]); 6. usage of ontology approaches to web services (e.g., [49]); 7. adaptation of Web sites and systems, (e.g., [45], [66]); 8. personalization of Web-based systems (search and recommender systems, etc.) (e.g., [2], [6], [14], [16], [46], [61]); 9. usage of operations research methods and/or AI techniques (e.g., [18], [42], [55]); and 10. some efforts in Web-based product design, e.g., Web-based combining a composite product ( …”