Prediction-based resource allocation model for real time tasks

High performance computing (HPC) platforms provides computing, storage and communication facilities to process real-time applications efficiently. Such applications produce less important results if the deadlines are missed. Most of the real-time algorithms decently schedule applications tasks offline, but they usually take longer in processing which results in deadlines miss when tasks need some data from remote storage locations. In this paper, we propose a prediction-based model which analyze task feasibility before scheduling on the HPC resources when tasks have data-intensive constraints. The main advantage of the prediction analysis modules is to save time by refraining further analysis on non-scheduled tasks. The model helps in searching suitable resources and improved resource utilization by considering task workload in advance

A conceptual framework for measuring acceptance of contactless payment methods

Information Technology has been effective in every filed around the world, and ICT acceptance in any filed has produced new developments which has significantly contributed in that particular context. Driven by this impulse the Higher Education Institutes (HEI) around the world are incorporating ICT approaches and using the most recent advances to give world class education to inhabitants. In such manner Ministry of Education (MOE) Kuwait has propelled numerous plans and put some considerable measures in the execution of innovation in HEIs. HEI for the most part comprises of Universities. While there is no comprehensive study conducted in measuring the success and obstacles in the State of Kuwait, therefore, this paper focuses to measure and identify the success factors in acceptance of HEIs in the State of Kuwait. In the interim keeping in mind the end goal to evaluate the adoption and use of ICT by studnets and academicians in their day by day work, the UTAUT will be used as baseline theory to measure the ICT acceptance by students and academicians. This investigation likewise intents to discover the variables and issues keeping in mind the end goal to make a model for better usage of ICT by the HEIs. The effect of this investigation will be on HEI(s) to enhance the policy of learning methods through successful use of ICT and enhance the ability of students and academicians to be more viable and qy=quality-situated people

Spirituality, moral conviction, and prosocial rule-breaking in healthcare

This study investigated the effect of healthcare professionals’ workplace spirituality (WPS) on moral conviction and prosocial rule-breaking (PSRB). The data were collected from 315 healthcare professionals from three main districts of South Punjab, Pakistan. We determined the measures’ validity using confirmatory factor analysis. We investigated the hypothesized relationships using structural regression modeling. The results demonstrated a significant effect of WPS on PSRB and moral conviction. However, the mediating effect of moral conviction between WPS and PSRB was insignificant. Healthcare professionals may regulate PSRB by screening and promoting individuals with high WPS to positions requiring a high level of PSRB rather than considering health service providers’ personal moral beliefs

The Mediating Role of Benefit Management for Sustaining the Performance of Infrastructure Projects

Benefit management is a valuable approach, promoted and supported by strategic management for maximizing organizational benefits. It has also been recognized as a means of improving project performance, though more research is needed to understand how it works. This research adds to the contemporary literature on public sector project management by studying the links between project governance, benefit management, and project performance from a developing country perspective. This study provides insights for project professionals who are working in government organizations for optimizing the benefits of investment. The study provides a reference to formulate strategies for managing and governing the performance of government-funded projects in developing countries like Pakistan. The research uses a positivist approach and quantitative design. The quantitative technique is employed to address all the aspects of the study. The structural equation modeling revealed that benefit management acted as a mediating factor in the relationship between project governance dimensions and public sector project performance. This study highlights the importance of incorporating a comprehensive benefit management approach to streamline the benefit management process by aligning projects with the organizational strategy for sustaining project performance. These findings stress the need for a comprehensive benefit management approach in improving the project performance of government-sponsored projects. The study attempts to improve the understanding of project professionals about the role and significance of benefit management, which will be helpful to get organizational support for the employees who are striving to improve the project performance in Pakistan

A conceptual framework for measuring the acceptance of pervasive learning

The technological innovation and advancements in smart phones and wireless communication have reformed learning techniques such as Pervasive Learning (P-learning), Mobile Learning (m learning) and Electronic Learning (e-learning). P learning is the new form of innovative technologies for learning that occurs at the user’s will at anywhere, anytime and with any mobile or handheld devices.Students using P-learning can overcome the obstacles such as poor facilities in the classroom, gender, cultural and religious barriers, hectic personal and professional lives by providing flexibility and more than one medium for learning.This research is intended to study the specific factors influencing students as to whether accept and use these new technologies (P-learning).This study extends the existing research on Technology Acceptance Model (TAM) and will develop an integrated model of P-learning acceptance.It is also expected that this research study will help provide strategies for educators in the development and implementation of courses designed to integrate technology. This study employs mixed research methods for triangulation to get the desired research results.The data for this research is collected through focus group and a cross sectional questionnaire survey

Flexible Global Aggregation and Dynamic Client Selection for Federated Learning in Internet of Vehicles

Federated Learning (FL) enables collaborative and privacy-preserving training of machine learning models within the Internet of Vehicles (IoV) realm. While FL effectively tackles privacy concerns, it also imposes significant resource requirements. In traditional FL, trained models are transmitted to a central server for global aggregation, typically in the cloud. This approach often leads to network congestion and bandwidth limitations when numerous devices communicate with the same server. The need for Flexible Global Aggregation and Dynamic Client Selection in FL for the IoV arises from the inherent characteristics of IoV environments. These include diverse and distributed data sources, varying data quality, and limited communication resources. By employing dynamic client selection, we can prioritize relevant and high-quality data sources, enhancing model accuracy. To address this issue, we propose an FL framework that selects global aggregation nodes dynamically rather than a single fixed aggregator. Flexible global aggregation ensures efficient utilization of limited network resources while accommodating the dynamic nature of IoV data sources. This approach optimizes both model performance and resource allocation, making FL in IoV more effective and adaptable. The selection of the global aggregation node is based on workload and communication speed considerations. Additionally, our framework overcomes the constraints associated with network, computational, and energy resources in the IoV environment by implementing a client selection algorithm that dynamically adjusts participants according to predefined parameters. Our approach surpasses Federated Averaging (FedAvg) and Hierarchical FL (HFL) regarding energy consumption, delay, and accuracy, yielding superior results

Investigating the practices of project governance in public sector infrastructure program in Pakistan

The governance of public sector infrastructure projects became an important area of interest in the literature on project management. Today, it is a focal point for policymakers to ensure successful appraisal and implementation of government-sponsored programs. This paper aims to investigate the current practices of project governance (PG) for steering the public sector infrastructure program in Pakistan. An empirical investigation was carried out among professionals of public sector organizations involved in different infrastructure development projects. Latent construct of PG was validated through second-order confirmatory factor analysis (CFA) and quantified the three dimensions of PG, i.e., portfolio direction (PD), sponsorship, effectiveness, and efficiency (SEE), and disclosure and reporting (DR) through the relative importance index (RII) method. The result showed that DR is among the least practicing dimension having RII = 0.55, while PD and SEE have shown similar prevalence with RII = 0.70 and 0.69, respectively. Overall, the most practicing item in the PG was "the alignment of portfolios with objectives and strategy" whereas the lowest practicing item relates to the "completeness of project information distribution due to the multi-layered bureaucratic system." The findings of this study will guide the decision makers to take appropriate measures for enhancing the effectiveness of PG in Pakistan