Enabling the IoT paradigm through multi-tenancy supported by scalable data acquisition layer

详细信息    查看全文

• 作者：Nikola Dalčeković ; Srđan Vukmirović ; Sebastijan Stoja…
• 关键词：IoT ; Cloud ; Multi ; tenancy ; Actor model ; Scalable database ; Multi ; tenant patterns ; Multi ; tenant design ; Multi ; tenant SOA
• 刊名：Annals of Telecommunications
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：72
• 期：1-2
• 页码：71-78
• 全文大小：
• 刊物类别：Engineering
• 刊物主题：Communications Engineering, Networks; Information Systems and Communication Service; Signal,Image and Speech Processing; Computer Communication Networks; Information and Communication, Circuits; R & D
• 出版者：Springer Paris
• ISSN：1958-9395
• 卷排序：72

文摘

The Internet of things (IoT) is composed of a large number of end systems. Data gathered from these end systems are processed in the cloud environment. This paper delineates multi-tenancy as a prerequisite for enabling cost effective IoT solutions using any cloud platform. In the IoT world, a large number of end systems imply a large number of users who should have open access to specific subsets of data. As multi-tenancy includes sharing the same application instance, security is a key requirement when engineering new software as a service (SaaS) applications. This paper describes multi-tenant implementation approaches and inspects security aspects and data isolation. It proposes a solution for data layer scalability in order to achieve the desired performances. Furthermore, it proposes an SOA solution to provide a secure multi-tenant web service with scalable data layers. We demonstrate that the proposed approach results in some performance loss, which is not acceptable for performance critical applications but is acceptable for services developed for tenants themselves. We experimentally confirm our data scalability theory based on an actor model and developed a cost estimator. Finally, we conclude that application level multi-tenancy is necessary from a cost efficiency point of view in a scenario involving a large number of users. The solution was tested in a private cloud environment.