A Semantic Impact in Decentralized Resource Discovery Mechanism for Grid Computing Environments

Shaikh, Abdul Khalique; Alhashmi, Saadat M.; Parthiban, Rajendran

doi:10.1007/978-3-642-33065-0_22

Cited by 5 publications

(5 citation statements)

References 20 publications

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“…Also, online education and the medical industry can hugely be influenced by the advancements in e-government. More importantly, chances of corruption in the public sector can be limited while economic growth can be promoted (Park and Kim, 2019; Shaikh et al , 2012).…”

Section: Literature Reviewmentioning

confidence: 99%

E-government performance in democracies versus autocracies

Bougherra

Shaikh

Yenigun

et al. 2022

IJOA

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Purpose This study aims to examine the relationship between political regimes and e-government performance, with a focus on governments’ perspectives of e-government. First, the authors use United Nations (UN) E-government Development Index (EGDI) to establish the current patterns of e-government performance across different regime types, and then develop their own typology of the various perspectives of different political regime types to e-government adopted in the literature. The purpose of this study is to explore the relationship between e-government performance and regime types. Design/methodology/approach This study adopts a mixed-method research approach that involves quantitative (statistical databases) as well as qualitative (interviews) methods to go beyond the statistics and obtain interpretations of explored patterns of e-government performance and regime types. The research instruments for this study include the Jupyter open-source software used for drawing the relevant correlations, and validating the results using expert interviews. Findings The results of the analysis support the research hypothesis that democracies have better e-government implementation than autocracies. The findings suggest that the type of a political regime has an influence on the conceptualization of e-government, the implementation of its practices and subsequently the assessment of its performance. Research limitations/implications This study relies on the UN EGDI and data from previous literature. the UN Index only measures the supply side of government outputs without taking into consideration their impact on citizens, which does not provide a holistic view of the whole picture. Therefore, the UN EGDI rankings do not necessarily imply citizen satisfaction or improved e-government. Practical implications From a practice point of view, this study gives information to government leaders as well as technical experts on how the political regime influences the government’s performance in e-government. In fact, this paper bridges the gap between theory and practice by calling policymakers to take different regime worldviews and motivations into consideration before setting e-government strategies or even assessing e-government performance. Considering the current global digital transformation, it should be ensured that practitioners take these regime specifications into consideration. In the long term, the results of this research will prove that setting up e-government or e-participation platforms is not enough as technology alone is not enough to strengthen democracy or let alone stimulate citizen engagement. When dealing with e-government initiatives, the focus should be broadened beyond the technological aspect and take the social and political motivations of governments into consideration. Social implications From a theoretical standpoint, this study calls for a more holistic e-government performance indicator that could take the regime perspectives into consideration and integrate them into its evaluation process. An indicator that can accommodate the different objectives pursued by different regime types. This could also be achieved by setting two indicators with each one matching the perspective of the specific regime type, which takes us to Ashby’s “Law of Requisite Variety” (1991). The Law of Requisite Variety states that “the system must possess as much regulatory variety as can be expected from the environment” (Ashby, 1956). This law has some implications for this study. It implies that the regime worldview influences the requisite variety depending on the political context where e-government is being implemented. Because we have two regime worldviews, we need to have at least two responses (in this case indicators) that consider the variety of political contexts. Therefore, through appreciating the differences between these two worldviews, this study recommends using the Law of Requisite Variety to investigate the influence of political regimes on e-government. In the same way, in our repertoire of responses, we should not assume that one discipline has the answer but have a variety of cross-disciplinary responses. Originality/value The contribution of this study lies in going beyond the statistical analyses of the UN EGDI to come up with possible interpretations of the reasons why political regimes differ in their e-government performance and what could be the reasons behind such variations. Based on analyzing correlations between e-participation performance and regime types, and interviews with experts, two different e-government perspectives could be identified: one for democracies and one for autocracies. Through identifying the relationship between these perspectives and the e-government performance of each regime type, this study provides governments and policy makers with new evidence that different regime types have different motivations for developing their e-government performance. Hence, e-government policies and strategies ought to match particular political contexts.

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Section: Literature Reviewmentioning

confidence: 99%

E-government performance in democracies versus autocracies

Bougherra

Shaikh

Yenigun

et al. 2022

IJOA

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“…To identify an appropriate resource share mechanism for decentralized grid jobs, Shaikh et al [10] propose a semantic resource discovery model by using semantic similarity threshold values and extended ontologies in a decentralized resource discovery model of grid computing. This model can improve success probability for complex jobs and reduce communication overheads.…”

Section: Related Workmentioning

confidence: 99%

“…Existing frameworks and models of decentralized grids are proposed in specific application contexts [7] [8], which means that they are difficult to be expanded to suit more general applications. Moreover, the functions of these frameworks and models are not generic [9] [10], which means that they cannot perform the all basic functions of the grid in a decentralization environment. In addition, there is also a lack of uniform quantitative standards for performance, efficiency, and fault tolerance in decentralized grid models.…”

Section: Introductionmentioning

confidence: 99%

Agent-Based Decentralized Grid Model

Kang

Zhang

et al. 2020

IEEE Access

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Decentralization of grid systems plays an important role in improving their efficiency and fault tolerance. To enhance the performance and stability of grid and mitigate the problems of centralized grid, an agent-based decentralized gird model (ADGM) with universality and functional integrity is proposed. In this paper, we build an agent-based grid structure and propose an agent-based grid consensus algorithm (AGCA). A group membership protocol, a consistency protocol and a view change protocol in AGCA are also designed. Furthermore, based on Pi calculus, the information registration, resource sharing and error recovery of the grid model in the decentralized environment are formally specified. Finally, we analyze the performance of the AGCA algorithm and compare it with other consensus algorithms, the simulation results demonstrate that the AGCA algorithm achieves better comprehensive performance and more symmetrical time performance, space performance and fault tolerance than other consensus algorithms.

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“…The authors derive conceptual similarity using the notion of "similarity graph". In this, the ontology is represented as a graph with concepts as nodes and relationships connecting these concepts as edges resources such as Processor ontology and Operating system can be referred to in our earlier paper (Shaikh, Alhashmi, & Parthiban, 2012).The advantage of the sub-domain based ontologies structure is that, only the relevant sub-ontology will be targeted by the query instead of the whole ontology. In this way, there is no chance to pick irrelevant resources as that could happen in a domain-based ontology structure.…”

Section: Semantic Mappingmentioning

confidence: 99%

A Novel Optimization Model Based on the Unification of Proximity and Semantic Similarity in Grid Computing

Shaikh

Alhashmi

Parthiban³

2015

JSSD

Self Cite

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Resources in Grid computing are geographically distributed across the world through a wide area network under various virtual organizations. Due to the distributed nature of the Grid, the selection and allocation of the optimal resources from the available resource are challenging. However, the overall Grid performance depends on the selection of Grid resources for user jobs. A significant amount of effort has been made by proposing various resource discovery algorithms. Current Grid literature reveals that the semantic matching can provide more results compared to syntax matching on available resources, but the selection of poor resources for user jobs can affect the Grid performance. The reason for poor selection is because of the allocation of Grid resources based on First Come First Serve (FCFS) scheme, which reduces the utilization of a domain-based semantic ontology Grid system. To overcome the issue and enhance the Grid performance, we propose a novel optimization model based on Unification of Proximity and Semantic similarity in Grid Computing. The purpose of this optimization model is to get optimized resources for user jobs, so that Grid brokers could select optimum resources in terms of proximity with high semantic relevancy. The proposed model utilizes both semantic and proximity criteria and avoids the resources that are not suitable and faraway from the user locations. The model is designed using GridSim and FreePastry simulation & modeling toolkits. The experimental results have been compared with the (FCFS) allocation scheme that shows that the proposed optimization model statistically significantly outperforms the system with FCFS scheme.

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A Semantic Impact in Decentralized Resource Discovery Mechanism for Grid Computing Environments

Cited by 5 publications

References 20 publications

E-government performance in democracies versus autocracies

E-government performance in democracies versus autocracies

Agent-Based Decentralized Grid Model

A Novel Optimization Model Based on the Unification of Proximity and Semantic Similarity in Grid Computing

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