The majority of mobile enterprise applications are designed to work with preexisting backend enterprise systems, and certain usage scenarios call for the storage of large files on mobile devices. In a wireless mobile environment, issues with latency, bandwidth, speed, mistakes, and service disruptions make it challenging for Mobile Application Developers to upload and retrieve huge files to and from a mobile app. Some situations need that these files be utilized offline, updated by a single user, and shared with all other users. Universally available services rely on replication technique to provide fault tolerance, high data availability, and rapid response times. The term “consistency” relates to the concept that the state of the data is determined in some manner by the varied clients that use a storage system. This could be the most current status of the data or the collection of modifications that led to that state. Two factors contribute to the difficulty of maintaining consistency: To begin with, storage systems need to store a large number of copies of their data in case of failure or performance issues. Second, storage operations can be performed on a large number of data items or objects. This paper proposes an improved Mobile Sync framework (known as LOSMob) to improve end-toend data consistency in mobile cloud environments, with three distinct consistency plans (Strong, Causal, and Eventual) and synchronization of both table and object data. The framework is evaluated based on the end-to-end latency (in seconds) for a particular size object under three different consistency schemes (Strong, Causal, and Eventual) in a predetermined setting.