CLOUD COMPUTING is a high-performance distributed computing platform that integrates large-scale services. It facilitates many scientific and engineering, as well as business workflow applications. However, current workflow applications come with various Quality of Service (QoS) to constraints, such as makespan, cost, reliability, resource utilization and security, which pose serious management challenges with respect to satisfying the objectives under specific constraints. On the other hand, a huge number of web services exist on the internet with diverse economic and social attributes. In addition, the web environment is complex, highly uncertain with chances of failures at all levels (human, software, hardware, security). Therefore, one of the major concerns of users is getting assurance of the needed QoS for their applications. This book discuss a few issue of scheduling workflow in cloud computing to satisfy the diverse requirements of users and service providers. The issues related are minimizing workflow makespan and cost simultaneously while satisfying the reliability constraint, improving overall satisfaction, as well as increasing the reliability and minimizing completion time of the scheduled process with fault-intrusion tolerance. Finally, the workflow completion time of the fault-intrusion-tolerant and deadline-aware algorithm (FITSW) decreased by 15% for all datasets when compared with the previous work, and the intrusion tolerance increased due to the high success rate of workflow execution.