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Directory-based incentive management services for ad-hoc mobile clouds

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  • Yousafzai, Abdullah
  • Chang, Victor
  • Gani, Abdullah
  • Noor, Rafidah Md.

Abstract

Mobile cloud computing is envisioned as a promising approach to augment the computational capabilities of mobile devices for emerging resource-intensive mobile applications. This augmentation is generally achieved through the capabilities of stationary resources in cloud data centers. However, these resources are mostly not free and sometimes not available. Mobile devices are becoming powerful day by day and can form a self-organizing mobile ad-hoc network of nearby devices and offer their resources as on-demand services to available nodes in the network. In the ad-hoc mobile cloud, devices can move after consuming or providing services to one another. During this process, the problem of incentives arises for a node to provide service to another device (or other devices) in the network, which ultimately decreases the motivation of the mobile device to form an ad-hoc mobile cloud. To solve this problem, we propose a directory-based architecture that keeps track of the retribution and reward valuations (in terms of energy saved and consumed) for devices even after they move from one ad-hoc environment to another. From simulation results, we infer that this framework increases the motivation for mobile devices to form a self-organizing proximate mobile cloud network and to share their resources in the network.

Suggested Citation

  • Yousafzai, Abdullah & Chang, Victor & Gani, Abdullah & Noor, Rafidah Md., 2016. "Directory-based incentive management services for ad-hoc mobile clouds," International Journal of Information Management, Elsevier, vol. 36(6), pages 900-906.
    • Handle: RePEc:eee:ininma:v:36:y:2016:i:6:p:900-906
    DOI: 10.1016/j.ijinfomgt.2016.05.019
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    References listed on IDEAS

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    1. Larson, Deanne & Chang, Victor, 2016. "A review and future direction of agile, business intelligence, analytics and data science," International Journal of Information Management, Elsevier, vol. 36(5), pages 700-710.
    2. Hashem, Ibrahim Abaker Targio & Chang, Victor & Anuar, Nor Badrul & Adewole, Kayode & Yaqoob, Ibrar & Gani, Abdullah & Ahmed, Ejaz & Chiroma, Haruna, 2016. "The role of big data in smart city," International Journal of Information Management, Elsevier, vol. 36(5), pages 748-758.
    3. Newman, Russell & Chang, Victor & Walters, Robert John & Wills, Gary Brian, 2016. "Model and experimental development for Business Data Science," International Journal of Information Management, Elsevier, vol. 36(4), pages 607-617.
    4. Chang, Victor & Ramachandran, Muthu & Yao, Yulin & Kuo, Yen-Hung & Li, Chung-Sheng, 2016. "A resiliency framework for an enterprise cloud," International Journal of Information Management, Elsevier, vol. 36(1), pages 155-166.
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    Cited by:

    1. Rahman, Mohammad Saidur & Khalil, Ibrahim & Yi, Xun, 2019. "A lossless DNA data hiding approach for data authenticity in mobile cloud based healthcare systems," International Journal of Information Management, Elsevier, vol. 45(C), pages 276-288.

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