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Abstract
This article presents a new comprehensive approach to realize a sufficient trade-off between the CAP properties (i.e., consistency, availability, and partition tolerance) in the large-scale pervasive information systems. To achieve these critical properties, the capabilities of both cloud computing and web services were exploited in developing the components of the proposed approach. These components include a cloud-based replication architecture for ensuring high data availability and achieving partition tolerance, a web services-based middleware for maintaining the eventual consistency, and a data caching scheme to enable the mobile computing elements to conduct update transactions during the disconnection periods. The evaluation of the performance aspects revealed that the proposed approach is able to achieve a load balance, lower propagation delay, and higher cache hit ratio, as compared to other baseline approaches.
Highlights
The recent decade has witnessed a tremendous spread of large-scale distributed systems (LSDSs) in a wide variety of industries
To act in accordance to this need, this paper focuses on proposing a scalable replication approach that makes a sufficient trade-off pertaining to the achievement of the three desirable CAP properties in Largescale Pervasive Information Systems (LSPISs)
Towards achieving a sufficient trade-off between the CAP properties in the LSPISs, the components of the proposed approach have been specified as follows
Summary
The recent decade has witnessed a tremendous spread of large-scale distributed systems (LSDSs) in a wide variety of industries. Updating all the replicas before the termination of the update transaction negatively affects the transaction’s response time, and hinders the applicability of this replication mechanism in environments consisting of a large number of replicas [10,33]. It requires a reliable communication between replicas. This mechanism cannot act in accordance to the characteristics of LSPISs, especially the commonality of unreliable wireless connectivity and frequent disconnections of mobile computing elements, as well as it cannot cope adequately with the scalability requirement of these systems
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