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

Yousafzai, Abdullah; Chang, Victor; Gani, Abdullah; Noor, Rafidah Md

doi:10.1016/j.ijinfomgt.2016.05.019

Cited by 21 publications

(10 citation statements)

References 30 publications

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“…•Location privacy assurance, low system overhead, high quality of service To motivate the mobile user to opt-in MAC participation •Nominal, truthful •It is not designed by considering the rationality of individual mobile users. Directory-based architecture [51] To keep track of the retribution and reward valuations •Provide motivation to the user to participate in MAC…”

Section: •High Overhead Complexitymentioning

confidence: 99%

“…Despite many advantages of the proposed mechanism such as attractive and nominal, however, the bidding mechanism causes unnecessary energy consumption. In a directory‐based framework was proposed to keep 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. The proposed framework can help to motivate the mobile users to share their devices in MAC environment.…”

Section: State‐of‐the‐art In Macmentioning

confidence: 99%

“…The finding of proper incentive mechanisms that can motivate the mobile users encountered to agree on the load offloading has become very difficult because of individual rationality and different demands of the mobile user. Although several researchers have proposed some incentive mechanisms, theses solutions are in their infancy . Designing appropriate incentive mechanisms requires some future research.…”

Section: Open Research Challengesmentioning

confidence: 99%

See 2 more Smart Citations

Mobile ad hoc cloud: A survey

Yaqoob

Ahmed

Gani

et al. 2016

Wireless Communications

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The unabated flurry of research activities to augment various mobile devices in terms of compute‐intensive task execution by leveraging heterogeneous resources of available devices in the local vicinity has created a new research domain called mobile ad hoc cloud (MAC) or mobile cloud. It is a new type of mobile cloud computing (MCC). MAC is deemed to be a candidate blueprint for future compute‐intensive applications with the aim of delivering high functionalities and rich impressive experience to mobile users. However, MAC is yet in its infancy, and a comprehensive survey of the domain is still lacking. In this paper, we survey the state‐of‐the‐art research efforts carried out in the MAC domain. We analyze several problems inhibiting the adoption of MAC and review corresponding solutions by devising a taxonomy. Moreover, MAC roots are analyzed and taxonomized as architectural components, applications, objectives, characteristics, execution model, scheduling type, formation technologies, and node types. The similarities and differences among existing proposed solutions by highlighting the advantages and disadvantages are also investigated. We also compare the literature based on objectives. Furthermore, our study advocates that the problems stem from the intrinsic characteristics of MAC by identifying several new principles. Lastly, several open research challenges such as incentives, heterogeneity‐ware task allocation, mobility, minimal data exchange, and security and privacy are presented as future research directions. Copyright © 2016 John Wiley & Sons, Ltd.

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Section: •High Overhead Complexitymentioning

confidence: 99%

Section: State‐of‐the‐art In Macmentioning

confidence: 99%

Section: Open Research Challengesmentioning

confidence: 99%

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Mobile ad hoc cloud: A survey

Yaqoob

Ahmed

Gani

et al. 2016

Wireless Communications

Self Cite

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“…12 Some researches have focused on scheduling the heterogeneous computing resources in this cloud paradigm. 13,14 Specifically, the idle computing resources can be effectively shared by a dictionary-based algorithm 15 and a double-sided bidding mechanism. 16 However, the execution time is not considered, which means that the contributed resources may not be the most appropriate.…”

Section: Introductionmentioning

confidence: 99%

An intern-sufficient cloud for large-scale multi-robot systems and its application in multitarget navigation

Zhang

Zheng

Xiao-dong

et al. 2021

International Journal of Advanced Robotic Systems

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Due to generally limited computing capability of an individual robot, cloud-based robotic systems are increasingly used. However, applications in large-scale multi-robot systems will be hindered by communication congestion and consequent lack of computing resources. In this study, an intern-sufficient cloud is investigated to alleviate the burden of communication and thus support more robots. At the same time, it enables heterogeneously idle computing resources of robots inside the system to be shared on demand, instead of relying on cloud servers and communication infrastructures, to make the scope of application wider. To this end, a hierarchical communication mechanism and a resource schedule algorithm are proposed. In the mechanism, the transmission power, signal-to-noise ratio, available bandwidth, and other relevant features are taken into account to estimate link quality for data transmission. Then, the constrained communication conditions and heterogeneous computing resources are balanced by the resource scheduling algorithm, so that the most appropriate computing resources of the robots are contributed to the mobile cloud. Furthermore, a multitarget navigation task is applied on the cloud to validate the work. Thereby, simulations and experiments are performed. The results show that the proposed intern-sufficient cloud can provide stable resources of communication and computation for a multi-robot system with 20 physical robots while achieving more effective multitarget navigation.

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“…The second type of resource is the cloudlet [7], a nearby (local) Internet-enabled rich computing infrastructure that is connected to mobile devices using wireless access. The third type of resource is the local proximate mobile cloud [8], which is based on the formation of an ad-hoc network of devices within vicinity to collectively serve one another using either Wifi or Bluetooth network interfaces.…”

Section: Introductionmentioning

confidence: 99%

Computational offloading mechanism for native and android runtime based mobile applications

Yousafzai

Gani

Noor

et al. 2016

Journal of Systems and Software

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Mobile cloud computing is a promising approach to augment the computational capabilities of mobile devices for emerging resource-hungry mobile applications. Android-based smartphones have opened real-world venues for mobile cloud applications mainly because of the open source nature of Android. Computational offloading mechanism enables the augmentation of smartphone capabilities. The problem is majority of existing computational offloading solutions for Android-based smartphones heavily depends on Dalvik VM (an application-level VM). Apart from being a discontinued product, Dalvik VM consumes extra time and energy because of the just-intime (JIT) compilation of bytecode into machine instructions. With regard to this problem, Google has introduced Android Runtime (ART) featuring ahead-of-time (AHOT) compilation to native instructions in place of Dalvik VM. However, current state-of-the-art offloading solutions do not consider AHOT compilations to native binaries in the ART environment. To address the issue in offloading ART-based mobile applications, we propose a computational offloading framework. The proposed framework requires infras- * Corresponding author tructural support from cloud data centers to provide offloading as a service for heterogeneous mobile devices. Numerical results from proof-of-concept implementation revealed that the proposed framework improves the execution time of the experimental application by 76% and reduces its energy consumption by 70%.

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

Cited by 21 publications

References 30 publications

Mobile ad hoc cloud: A survey

Mobile ad hoc cloud: A survey

An intern-sufficient cloud for large-scale multi-robot systems and its application in multitarget navigation

Computational offloading mechanism for native and android runtime based mobile applications

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