The paradigm of cloud computing has heralded a new avenue of computing, offering benefits of increased data accessibility with low cost. Continuous Writing Applications (CWA) (e.g., augmented online services for Health Care) have specific requirements on data storage, computation and bandwidth, thus are cost-sensitive with limited budgets and time. Herein, we propose an architecture of multi-cloud service provider (CSP) or “Multi-Cloud” to provide services to CWA, and design a novel resource scheduling algorithm to minimize the system cost. The system models of classic CWAs to tackle the resource requirements of users on MCP are exploited. The study can help to understand the characteristics of different resources and conclude Multi-Cloud being the most attractive to many CWA implementations. Interconnections of multiple CSPs and their load paths (i.e., data passing through possible interconnections) are introduced. We then formulate the problem and present optimal user scheduling based on Minimum First Derivative Length (MFDL) of system load paths. Theoretical analysis demonstrated that the solutions with minimized costs can be achieved by the proposed algorithm, termed “Optimal user Scheduling” for Multi-Cloud (OSMC). Through rigorous simulations regarding different influencing factors, the proposed strategy has proven to be scalable, flexible, and efficient in many practical scenarios.

云计算的范式开创了计算的新途径，它带来了以低成本提高数据可访问性的好处。连续书写应用程序（CWA）（例如，用于医疗保健的增强型在线服务）对数据存储，计算和带宽有特定要求，因此在预算和时间有限的情况下对成本敏感。在本文中，我们提出了一种多云服务提供商（CSP）或“多云”的体系结构以向CWA提供服务，并设计了一种新颖的资源调度算法以最小化系统成本。利用经典CWA的系统模型来解决MCP用户的资源需求。该研究可以帮助理解不同资源的特征，并得出结论，多云对许多CWA实施最有吸引力。引入了多个CSP的互连及其负载路径（即，通过可能的互连传递的数据）。然后，我们提出问题并根据系统负载路径的最小一阶导数长度（MFDL）提出最佳用户调度。理论分析表明，所提出的算法（称为多云的“最佳用户计划”）可以实现成本最低的解决方案。通过对不同影响因素的严格模拟，该提议的策略已被证明在许多实际场景中具有可伸缩性，灵活性和效率。理论分析表明，所提出的算法（称为多云的“最佳用户计划”）可以实现成本最低的解决方案。通过对不同影响因素的严格模拟，该提议的策略已被证明在许多实际场景中具有可伸缩性，灵活性和效率。理论分析表明，所提出的算法（称为多云的“最佳用户计划”）可以实现成本最低的解决方案。通过对不同影响因素的严格模拟，该提议的策略已被证明在许多实际场景中具有可伸缩性，灵活性和效率。