# Railway Cloud Resource Management as a Service
## 2 Related Works  
Cloud orchestration refers to the process of automating and managing various tasks related to deploying, configuring, scaling, and maintaining applications and services in a cloud environment. It involves coordinating multiple cloud resources--such as compute instances, storage systems, network configurations, security settings, databases, and more--to ensure that everything works together seamlessly. Being a cloud, the railway cloud naturally is characterized by properties like those of the commercial clouds. Some key scenarios where cloud orchestration is practically useful include the following:  
* _Automated deployment of services and applications across multiple environments._ This ensures consistent configurations and reduces human errors through automation. In [24], the authors present a survey on edge clouds that use automated deployment mechanisms, namely Infrastructure as Code tools. In [25], the authors describe a framework for managing edge computing and heterogenous high performance computing clusters. A framework that facilitates the development and deployment of AI services at the network edge is proposed in [26]. * _Resource management._ This enables management and scaling infrastructure resources based on demands. Automatic allocation and deallocation of infrastructure resources optimizes the costs. In [27], the authors present a literature survey of cloud computing algorithms and provide a comparative study of various resource management. In [28], the authors propose a strategy for cloud resource management based on an auction mechanism which improves the resource allocation rate. In [29], the authors present a collaborative cloud resource management approach based on a job scheduling algorithm, which is an improved version of a swarm intelligence algorithm that reduces the convergence speed for optimal results. In [30], the authors demonstrated the advantages and significance of the workload pattern for learning-based cloud resource management. * _Management of multi-cloud or hybrid cloud environments._ Coordinating resources across multiple cloud providers needs to ensure the seamless integration and management of diverse environments. A discussion on management of computing in the era of the hybrid cloud is presented in [31]. In [32], the authors provide a review of the research on multi-cloud management platforms. * _Continuous integration/continuous deployment (CI/CD)._ This includes automation of the testing and deployment process to ensure rapid and reliable software delivery. In [33], the authors present an implementation of a cybersecurity approach to the CI/CD pipeline that automates the installation and deployment of its various components in cloud-based systems. An entire automated pipeline, starting with detecting changes in the application source code, creating new resources in the Kubernetes cluster to host this new version, and finally deploying the containerized application is presented in [34]. Based on a discussion of use cases and current challenges, the authors of [35] describe a framework for managing cloud-based AI application lifecycles and its key components. Research on configuration management of cloud-based applications is presented in [36]. * _Disaster recovery._ The creation of automated disaster recovery plans can quickly restore services after an outage or failure. This includes testing and validating backup procedures in a streamlined manner. A discussion on the role of cloud computing in preparation of disaster management and how an organization can use the latest technology to minimize the consequences on it is presented in [37]. A cloud platform disaster recovery model based on the characteristics of the cloud platform, data replication, and load balancing technologies described in [38]. * _Security and Compliance._ Implementing security policies across all cloud resources is important to maintain compliance with industry standards. This includes automation of security measures enforcement, such as access controls, encryption, and logging.