scholarly journals NetMob: A Mobile Application Development Framework with Enhanced Large Objects Access for Mobile Cloud Storage Service

Author(s):  
Yunus Parvej Faniband ◽  
Iskandar Ishak ◽  
Fatimah Sidi ◽  
Marzanah A.
Author(s):  
Akhan Akbulut ◽  
Cagatay Catal ◽  
Emre Karadeniz ◽  
Emre Turgut

With the widespread use of mobile applications in daily life, it has become crucial for enterprise software companies to quickly develop these applications for multiple platforms. Cross-platform mobile application development is one of the most adopted solutions for rapid development. Since most of these solutions do not generate native code for the underlying platform, the artefacts generally do not satisfy the requirements defined at the beginning of the project. This study designed and implemented a native code generation framework called Nativator built as a cloud service. The framework, which is capable of producing native code for iOS and Android platforms using web-based user interfaces, was implemented based on an open source compiler platform called “Roslyn”. Four case studies were performed to analyze the execution performance of the applications built with the proposed framework. The experimental results demonstrated that the execution performance of the applications built with Nativator is comparable with the applications generated via the state-of-the-art mobile application development framework called Xamarin. Because this framework was implemented as a cloud service, it has several advantages over traditional approaches such as access from anywhere, no installation and flexible and more resources from cloud infrastructure.


Author(s):  
Neha Thakur ◽  
Aman Kumar Sharma

Cloud computing has been envisioned as the definite and concerning solution to the rising storage costs of IT Enterprises. There are many cloud computing initiatives from IT giants such as Google, Amazon, Microsoft, IBM. Integrity monitoring is essential in cloud storage for the same reasons that data integrity is critical for any data centre. Data integrity is defined as the accuracy and consistency of stored data, in absence of any alteration to the data between two updates of a file or record.  In order to ensure the integrity and availability of data in Cloud and enforce the quality of cloud storage service, efficient methods that enable on-demand data correctness verification on behalf of cloud users have to be designed. To overcome data integrity problem, many techniques are proposed under different systems and security models. This paper will focus on some of the integrity proving techniques in detail along with their advantages and disadvantages.


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