Applying Different Cryptographic Algorithms for Mobile Cloud Computing
Cloud computing is new paradigm to use computing resources that are delivered as services over a network. It optimizes the usage of IT resources such as CPU, storage, and network. Many services related of cloud computing are popular to end users and it is becoming more important these days. There are many smart phones, smart pads and other mobile devices and end users can access to cloud computing environment through these mobile devices. Thus, they can use powerful computing resources on their physical devices. This environment indicates mobile cloud computing in this paper. There are two devices such as a physical device in real world and a virtual device in cloud computing environment. Service providers should use strong cryptographic algorithms to guarantee secure communication between a physical device and a virtual device. However, the strong cryptographic algorithms waste time to process each tasks and it causes network congestion. The network congestion occurs when a physical device is processing too many data packets. Also, it cannot be guaranteed its network quality of service. We need to consider the network quality of service to avoid this congestion. We should try to reduce the execution time to guarantee quality of service. We propose suitable method that the cryptographic algorithms with different key lengths at various environment.
KeywordsCloud computing QoS management Cryptographic algorithm
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- 2.Buyya, M.R., Pandey, S., Vecchiola, C.: Cloudbus toolkit for market-oriented cloud computing. In: Proceedings 1st International Conference on Cloud Computing (CloudCom 2009), pp. 3–27 (2009)Google Scholar
- 3.Appisty Inc.: Cloud Platforms vs. Cloud Infrastructure, White Paper (2009)Google Scholar
- 5.Kim, T.K., Lim, H.J., Chung, T.M.: Service Negotiation Model for response Time in Distributes Networks. Computing and Informatics, 395–405 (2004)Google Scholar
- 7.Kang, K.D., Son, S.H.: Dynamic Security and QoS Adaptation in Real-Time Embedded Systems. In: 26th IEEE Real-Time Systems Symposium, WIP Session, Miami, Florida (2005)Google Scholar
- 10.Zhang, P., Yan, Z.: A QoS-aware system for mobile cloud computing. In: 2011 IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS), pp. 15–17 (2011)Google Scholar