Assessing Absolute Distributed Data Scheduling Functions in Global Grid-Based Cloud Computing

The research focuses on the perception of cloud web portal service data storage quality between companies for internet-based cloud data storage grids scheduling services. The study found significant variance between the two sample populations (Infosys and TCS) in attributes such as Tangibility, Reliability, and Responsiveness, Credibility, and Data security. The client response to reliability was more varied, with Infosys ranking higher than TCS. In responsiveness, TCS ranked higher than Infosys, suggesting smaller enterprises are more responsive. In credibility and Data security, both companies had a mean score above 10, indicating high levels of Cloud Storage credibility. ANOVA testing confirmed the findings, with no significant difference in the perception of credibility and security aspects between the two main Cloud Services Providing companies. However, there was no clear influence of one attribute over another in forming a client's perception of a company's Cloud web portal qualities observation. This thesis examines Data Grid Scheduling systems in Cloud web portals, focusing on their unique features such as heavy computing requirements, geographically distributed resources, and collaboration among users. It also examines the architecture of Data Grids used in cloud portals, data transport mechanisms, data replication systems, and resource allocation. The study demonstrates that considering data presence and computational resource availability improves application scheduling performance by improving job turnaround time. The Grid bus broker is effective for executing scientific applications on Grid resources, but there is still a question of whether newer application models can accommodate the current architecture. The Grid community has recently standardized on the Web Cloud Services Resource Framework (WSRF), which requires the broker to compose services based on their attributes and create service aggregations to achieve users' utility functions. The research findings indicate that client's Cloud web portal qualities perceive a difference in service offered by internet sites, with significant differences in tangibility, reliability, and responsiveness. Factors such as security and credibility are more relevant for Cloud web portal Data Grids or online cloud storage service companies. Future work aims to address new questions and improve understanding of Data Grid Scheduling in Cloud web portals.