Mobile storage augmentation in mobile cloud computing: Taxonomy, approaches, and open issues

Aminzadeh, Nazanin; Sanaei, Zohreh; Hamid, Siti Hafizah Ab

doi:10.1016/j.simpat.2014.05.009

Cited by 43 publications

(11 citation statements)

References 49 publications

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“…Thus, many studies have modified the routing protocols of MANETs for adopting into VANETs. VANETs are considered a unique type of MANETs and exhibit different features, such as dynamic topological changes, frequent network disconnections, tight delay bounds, no energy limitation issues, geographic-based communication capability, and specific mobility modelling following a road topology [20, 21]. The stability and efficiency of the route are the key design metrics of VANET routing protocols.…”

Section: Related Workmentioning

confidence: 99%

Efficient and Stable Routing Algorithm Based on User Mobility and Node Density in Urban Vehicular Network

et al. 2016

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Vehicular ad hoc networks (VANETs) are considered an emerging technology in the industrial and educational fields. This technology is essential in the deployment of the intelligent transportation system, which is targeted to improve safety and efficiency of traffic. The implementation of VANETs can be effectively executed by transmitting data among vehicles with the use of multiple hops. However, the intrinsic characteristics of VANETs, such as its dynamic network topology and intermittent connectivity, limit data delivery. One particular challenge of this network is the possibility that the contributing node may only remain in the network for a limited time. Hence, to prevent data loss from that node, the information must reach the destination node via multi-hop routing techniques. An appropriate, efficient, and stable routing algorithm must be developed for various VANET applications to address the issues of dynamic topology and intermittent connectivity. Therefore, this paper proposes a novel routing algorithm called efficient and stable routing algorithm based on user mobility and node density (ESRA-MD). The proposed algorithm can adapt to significant changes that may occur in the urban vehicular environment. This algorithm works by selecting an optimal route on the basis of hop count and link duration for delivering data from source to destination, thereby satisfying various quality of service considerations. The validity of the proposed algorithm is investigated by its comparison with ARP-QD protocol, which works on the mechanism of optimal route finding in VANETs in urban environments. Simulation results reveal that the proposed ESRA-MD algorithm shows remarkable improvement in terms of delivery ratio, delivery delay, and communication overhead.

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Section: Related Workmentioning

confidence: 99%

Efficient and Stable Routing Algorithm Based on User Mobility and Node Density in Urban Vehicular Network

et al. 2016

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“…A comprehensive survey has been done on augmented storage solutions for MCC applications [10]. Existing storage augmentation solutions of MCC applications, such as Pheonix, E-DRM, EECRS, offer high energy efficiency and context awareness in data storage and access management.…”

Section: Limitations Of Existing Workmentioning

confidence: 99%

“…These solutions offer restrictive access using strict policies such as write-once-read-many and do not validate the authenticity for each access request. The lack of authentication makes these solutions less secure in facilitating privacy-sensitive data access [10]. Strong password based authentications are proposed for pervasive applications [11].…”

Section: Limitations Of Existing Workmentioning

confidence: 99%

Location-dependent disclosure risk based decision support framework for persistent authentication in pervasive computing applications

2015

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“…With advancements in technology, Cloud computing enabled support to mobile devices so that the Mobile Cloud Computing [3] was created. Because of the limited hardware resources in mobile devices, even in technological advances, resource-intensive applications runs very slowly while draining batteries faster.…”

Section: Introductionmentioning

confidence: 99%

A Task Offloading Approach using Classification and Particle Swarm Optimization

Mateo¹,

Lee²

2017

Journal of Internet Computing and Services

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Innovations from current researches on cloud computing such as applying bio-inspired computing techniques have brought new level solutions in offloading mechanisms. With the growing trend of mobile devices, mobile cloud computing can also benefit from applying bio-inspired techniques. Energy-efficient offloading mechanisms on mobile cloud systems are needed to reduce the total energy consumption but previous works did not consider energy consumption in the decision-making of task distribution. This paper proposes the Particle Swarm Optimization (PSO) as an offloading strategy of cloudlet to data centers where each task is represented as a particle during the process. The collected tasks are classified using K-means clustering on the cloudlet before applying PSO in order to minimize the number of particles and to locate the best data center for a specific task, instead of considering all tasks during the PSO process. Simulation results show that the proposed PSO excels in choosing data centers with respect to energy consumption, while it has accumulated a little more processing time compared to the other approaches.

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Mobile storage augmentation in mobile cloud computing: Taxonomy, approaches, and open issues

Cited by 43 publications

References 49 publications

Efficient and Stable Routing Algorithm Based on User Mobility and Node Density in Urban Vehicular Network

Efficient and Stable Routing Algorithm Based on User Mobility and Node Density in Urban Vehicular Network

Location-dependent disclosure risk based decision support framework for persistent authentication in pervasive computing applications

A Task Offloading Approach using Classification and Particle Swarm Optimization

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