RMAWS: An Hybrid Architecture for achieving Web Services Reliability in Mobile Cloud Computing
July 23, 2022 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Amr S. Abdelfattah, Tamer Abdelkader, EI-Sayed M. EI-Horbaty
arXiv ID
2207.11608
Category
cs.SE: Software Engineering
Citations
0
Venue
arXiv.org
Last Checked
5 months ago
Abstract
The intermittent wireless connectivity in Mobiles limits the spread of mobile applications usage over the web, such that the web services are the independent protocol that used to achieve the mobile connectivity with the cloud services. Achieving the web service reliability results in two aspects. The first is low communication overhead and retrieving the appropriate response to prevent the duplicate request execution. The second is overcoming the request time out problem that is one of the most effected issues in the mobile experience. This paper proposes Reliable Mobile Agent and Web Socket approach (RMAWS) that achieves the reliable web services consumption. The enhanced architecture is hybrid between the mobile agent approach and web socket open connection communication protocol. This approach recovers the data lose because of the intermittent connections, overcomes the Time-out problem, and enhances the mobile experience by achieving this service consumption reliability.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Software Engineering
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Microservices: yesterday, today, and tomorrow
π
π
The Cartographer
A Survey of Machine Learning for Big Code and Naturalness
R.I.P.
π»
Ghosted
An Overview on Smart Contracts: Challenges, Advances and Platforms
R.I.P.
π»
Ghosted
Slither: A Static Analysis Framework For Smart Contracts
R.I.P.
π»
Ghosted
ContractFuzzer: Fuzzing Smart Contracts for Vulnerability Detection
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted