Architectures for Scalable Databases in Cloud – And Application Specifications
Pankaj Deep Kaur, Gitanjali Sharma · Procedia Computer Science · 2015
Despite cloud abstractions, data is critical to applications hosted on cloud. Thus, overwhelming data flow also requires database tier to be scaled efficiently and dynamically besides other tiers in cloud platform. However, this is not easy since databases maintain tightly coupled state while promising transactional support. Objective of this paper is to survey scalable DBMS architectures deployed for hosting data-centric applications that are gaining momentum in analytical processing, scientific researches, personalized searches and corporate dealings. This paper reviews scalable architectures and their suitability to host specific classes of applications. Finally it addresses issues in current architectures and presents some future suggestions.