Towards a Mobile Ad-Hoc Cloud Management Platform

Khalifa, Ahmed; Azab, Mohamed; Eltoweissy, Mohamed

doi:10.1109/ucc.2014.54

Cited by 6 publications

(5 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…•Cluster head selection causes wastage of time PlanetCloud [53] To provide intrinsic support for highly mobile and heterogeneously compostable MACs…”

Section: •High Overhead Complexitymentioning

confidence: 99%

“…Moreover, rescheduling of the tasks can be costly in terms of incentives. To cope with the mobility problem, several research efforts have been carried out in mobile ad hoc networks that can be applied in the MAC after applying some modifications [29,36,53,[57][58][59][60]. In the future, high attention needs to be paid to address the mobility-related challenges in the MAC.…”

Section: Mobilitymentioning

confidence: 99%

“…The authors in proposed PlanetCloud that can provide intrinsic support for highly mobile and heterogeneously compostable MAC. Moreover, it enables the MAC to adapt the real‐time dynamic variations in its underlying infrastructure by isolating the hardware and code management concerns.…”

Section: State‐of‐the‐art In Macmentioning

confidence: 99%

See 2 more Smart Citations

Mobile ad hoc cloud: A survey

Yaqoob

Ahmed

Gani

et al. 2016

Wireless Communications

View full text Add to dashboard Cite

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.

show abstract

“…•Cluster head selection causes wastage of time PlanetCloud [53] To provide intrinsic support for highly mobile and heterogeneously compostable MACs…”

Section: •High Overhead Complexitymentioning

confidence: 99%

Section: Mobilitymentioning

confidence: 99%

See 1 more Smart Citation

Mobile ad hoc cloud: A survey

Yaqoob

Ahmed

Gani

et al. 2016

Wireless Communications

View full text Add to dashboard Cite

show abstract

“…The original communication mechanism of the ad hoc network is used in some robotic researches, 19 but more hops will be caused by the increasing number of robots, which results in a lower success rate of data transmission. Therefore, communication mechanism is a key point of the ad hoc cloud.…”

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

View full text Add to dashboard Cite

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.

show abstract

“…First, deploying services in the cloud and making them accessible to mobile devices, where issues such as unstable storage and limited network resources can be dealt with (Dinh et al, 2013). Second, creating a cloud for mobile devices whereby these devices can benefit from sharing resources locally (Khalifa et al, 2014). For the purpose of our system, the first definition of MCC forms the basis of our system design.…”

Section: Introductionmentioning

confidence: 99%

Swift personal emergency help facilitated by the mobile cloud

Alshareef

Grigoraş

2018

IJHPCN

View full text Add to dashboard Cite

Many emergency cases require the swiftest possible response from an appropriate medical service if they are not to become life-threatening. In the medical emergency field, response times to emergency cases are a major concern and gain a high degree of attention. Many of the systems proposed in the literature are either intended to replace the existing emergency system with a fully automated one, or build on unreliable or less efficient frameworks that are based on some sort of social media application, such as redirecting emergency requests to Facebook friends. We have designed a mobile cloud service that works side by side with the existing emergency system and is aimed at reducing the time spent waiting for emergency help to arrive, as well as making the best use of medical professionals who may be located in close proximity to the medical case. The experimental results show that the amount of time needed to find a medical professional and establish communication was between 4 and 25 seconds, depending on the communication method used. This result means that no extra time is added to the total medical response time and could enhance the chance of a better outcome. in 1994. He founded the International Symposium on Parallel and Distributed Computing (15th edition in 2016), and organised many workshops and summer schools. He published one book, co-edited four and published more than 80 papers in journals and proceedings of conferences. His current research interests are the mobile cloud, mobile middleware and applications, IoT and smart cities. This paper is a revised and expanded version of a paper entitled 'First responder help facilitated by the mobile cloud' presented at

show abstract

Towards a Mobile Ad-Hoc Cloud Management Platform

Cited by 6 publications

References 11 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

Swift personal emergency help facilitated by the mobile cloud

Contact Info

Product

Resources

About