2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS) (2017)
Atlanta, Georgia, USA
June 5, 2017 to June 8, 2017
In a Cloud environment, the ability to share and persist objects simplifies the design of applications. Storing objects in a NoSQL database ensures their availability and provides scalability to applications. When Object-NoSQL Mapping is performed at the client side, objects that are accessed by several clients are repeatedly converted between their in-memory and serialized representations. This negatively impacts performance and increases replication costs. In this paper, we describe the design of CRESON, a system supporting callable objects over NoSQL, in which application objects are mapped and instantiated directly on the storage nodes. CRESON supports composition by reference and ensures strong consistency. Objects are replicated and maintained coherent using State Machine Replication. The implementation of CRESON leverages the support of a listenable key-value store (LKVS), a novel NoSQL storage abstraction that we introduce in this paper. We discuss the performance and complexity of CRESON with the example of the portage of a personal cloud storage service, initially developed using an object-relational mapping over a sharded PostgreSQL database. Our results show that CRESON offers a simpler programming experience both in terms of learning time and lines of code, while performing better on average and being more scalable.
Elasticity, Cloud computing, NoSQL databases, Java, Scalability, Impedance
P. Sutra et al., "CRESON: Callable and Replicated Shared Objects over NoSQL," 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS), Atlanta, Georgia, USA, 2017, pp. 115-128.