Orrs Orchestration of a Resource Reservation System Using Fuzzy Theory in High-Performance Computing: Lifeline of the Computing World

Introduction

Now a day’s most of the countries are working rapidly for the development of computing services. The common way which is to be used in most of the research is that the cloud resources are taken on a rent basis by the providers on the requirement of services on the suitable cost. Now a day’s most popular cloud provider Amazon is providing it's elastic compute cloud (Amazon EC2) service for the end-users on the spot in a secure, capable, and easy to use. The services are provided by the cloud service providers on the sort-term period and long term period. For the betterment of cloud services where providers and end-users can easily buy and sell the services is the cloud market. The benefit of the cloud market is that the users and providers can show the benefit of buying their services and users can easily describe the requirement as per the need. Based on some previous knowledge the end users can take their own decisions that whether they have to do the reservation of services on an advanced basis. The importance of reservation is very important if anyone wants convenient, saves time and a lot of effort and reduce the physical and mental stress go anywhere for buying the services. The reservation makes you feel good about all the tensions that at the time of your requirement the resources will be available to end-users without any pain. In another case, if you have not done the reservation of services then at the time of need the service may be available or not. So that it may affect a lot in your work. In the real-time environment how our advanced railway reservation is done and providing services, like that we have designed a mechanism that efficiently prices perishable cloud resources in line with a provider’s profit maximization goal are being achieved by our proposed ORRS algorithm. In our ORRS reservation system services including the following process, the first step toward this process is that each user has to do the registration with any CSPs and then the service made available to the users. The second step is the performance of the service, the availability of the service at the time of requirement, and how reliable is the service which is being provided is considered in this algorithm. The third step is the environment of the advanced reservation the end-users have various types by which the reservation will be performed in railway such as tatkal, dynamic fair increment tatkal, premium tatkal, etc like that in ORRS we have an advanced reservation system like the type of service reservation and in each type there is a certain level of service and the fourth step towards this reservation which is most important is the cloud broker who is performing and maintain the cloud services and user request and the providing an efficient service in all aspects. ORRS is developed from the real-time scenario of the day to day life of railway reservation because it is most widely used by a lot of users successfully in the real scenario. The ORRS is developed for cloud service reservations in advance. In this architecture, it is shown in figure1 that n numbers of users are connected and sending the request what needed inform the CSP’s. The request comes to the ORRS (Reservation system cloud computing) works with cloud brokers as a middleware. The other sides of the CSP’s are informing the numbers of services provided are registered by sending the request to the cloud brokers. The cloud brokers can send the request from the middleware to the CSP’s. In the cloud brokers can do reservations by using ORRS in which the end-users can get the service in the best quality, efficient time, and effective cost. These services are very easily accessed by every device which can connect internet like phone, tablets, laptops, pc, etc.