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Item type:Publication, Advances in resource management through the integration of distributed computing approaches(Wiley, 2024-03-08)With a focus on grid computing, cloud computing, and edge computing (EC), this chapter analyzes the integration of distributed computing systems for resource management. These methods present a number of advantages, including increased flexibility, scalability, and analysis and processing of data capabilities, but they also present difficulties, including efficient resource scheduling, management, and monitoring, as well as issues with data security and management. To address these challenges, researchers are developing new techniques and tools for managing and allocating resources across distributed computing environments. These include resource allocation and scheduling algorithms, monitoring and management tools, and security and data management techniques. The chapter also discusses emerging trends and future research directions in the field, including the increasing use of EC and the need for more efficient and effective resource allocation and scheduling algorithms. The integration of distributed computing approaches for resource management has the potential to transform computing infrastructure for organizations. By leveraging the resources of multiple systems and networks, organizations can scale their computing infrastructure, improve data processing and analysis capabilities, and improve overall efficiency and cost savings. Although there are difficulties to be overcome, the advantages of these technologies make them a crucial field for future research and development. the requirement for ongoing study and development in this field to solve problems and enhance methods and tools for resource management in distributed computing settings. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Optimizing financial transactions and processes through the power of distributed systems(Wiley, 2024-03-08)The chapter examines how DSs might improve the efficiency of financial transactions (FT) and procedures. The efficiency, security, transparency, and cost-effectiveness of FT and processes could be increased with the use of distributed systems (DSs), such as supply chain (SC) and blockchain technology (BT). This chapter provides an overview of FT and procedures, including their definition, difficulties, and contemporary solutions. The chapter highlights the advantages of DSs in finance and offers illustrations of their use in several contexts, including payment processing, digital identity verification, SC finance, and insurance. These systems' implementation problems and shortcomings include scalability, interoperability, legal compliance, security, and user acceptance. This chapter offers a comprehensive review of the definition, traits, advantages, and use cases of BT and SC, with a focus on their applications in finance. The chapter also looks at potential paths and difficulties with applying DSs to finance. The chapter will be a helpful resource for researchers, programmers, and practitioners who are interested in using DSs to improve systems and processes. The chapter identifies these barriers and shows how to eliminate them so that these systems can be used to their full potential.