American Journal of Operations Management and Information Systems 2017; 2(2): 37-41 http://www.sciencepublishinggroup.com/j/ajomis doi: 10.11648/j.ajomis.20170202.12 Architecture of DBMS as Integrated Cloud Service and Its Advantages & Disadvantages Md. Ashraful Islam, Md. Mahbubur Rahman, A. H. M. Tajul Islam, Md. Zahid Hasan Siddiquee, A. S. M. Muntaheen GIS-ICT Division, Institute of Water Modelling (IWM), Dhaka, Bangladesh Email address: afl@iwmbd.org (Md. A. Islam) To cite this article: Md. Ashraful Islam, Md. Mahbubur Rahman, A. H. M. Tajul Islam, Md. Zahid Hasan Siddiquee, A. S. M. Muntaheen. Architecture of DBMS as Integrated Cloud Service and Its Advantages & Disadvantages. American Journal of Operations Management and Information Systems. Vol. 2, No. 2, 2017, pp. 37-41. doi: 10.11648/j.ajomis.20170202.12 Received: November 17, 2016; Accepted: December 29, 2016; Published: January 23, 2017 Abstract: Database Management Systems (DBMSs) is a critical component of modern computing of research and development in both academia and industry. Database Management Systems were among the earliest multi-user server systems to be developed and thus pioneered many systems design techniques for scalability and reliability now in use in many other contexts. Different resources and information between different devices are located in different places always based on internet connection are shared by Cloud computing. Additionally, cloud DBMS is a database management system which acts through cloud computing. The number of these DBMS which act through cloud computing is expected to increase in the future which is worth mentioning. This paper presents an architectural discussion of DBMS design principles including process models parallel architecture, query processor and optimizer architectures and typical shared components and utilities. Open-source systems are used as points of reference, when multiple alternative designs have been adopted by different groups. Additionally, in this paper, also discussed about DBMS advantages and disadvantages, and focus on the way how to offer a cloud DBMS as one of the best services. The research focus on three main characteristics of cloud computing which are considered as the most worried issues of cloud platform and review cloud database challenges such as: internet speed, multi-tenancy, privacy and security. This Paper thus express the need for a new DBMS designed specifically for cloud computing environments. Keywords: Architecture, DBMS, Cloud Computing 1. Introduction Database outsourcing has become an important component of cloud computing in recent years. The cost of transmitting a terabyte of data over long distances has decreased significantly in the past decade, Due to the rapid advancements in a network technology [1]. The total cost of data management is five to ten times higher than the initial acquisition cost. As a result, there is a growing interest in outsourcing database management tasks to third parties that can provide these tasks for much lower cost due to the economy of scale. This new outsourcing model has the benefits of reducing the cost for running Database Management System (DBMS) independently [2]. Cloud computing economics leveraging the power of multi-tenancy delivers extremely fast shared storage at a dramatically reduced cost. Virtualization then compounds these advantages by enabling users to scale elastically and to pay only for the resources they use. The performance advantages have decisively shifted in favor of the shared-disk DBMS [3]. It is just a matter of time before the shared disk DBMS establishes dominance in the cloud. A Cloud database management system (CDBMS) is a distributed database that delivers computing as a service instead of a product. It is the sharing of resources, software, and information between multiply devices over a network which is mostly the internet [4]. It is expected that this number will grow significantly in the future. An example of this is Software as a Service, which is an application that is delivered through the browser to customers [5]. Cloud applications connect to a database that is being run on the cloud and have varying degrees of efficiency. Some are manually configured, some are preconfigured, and some are native. Native cloud databases are traditionally better equipped and more stable that those that are modified to adapt to the cloud. Most recently