Gearing resource-poor mobile devices with powerful clouds: architectures, challenges, and applications

Liu, Fangming; Shu, Peng; Jin, Hai; Ding, Ling; Yu, Jie; Niu, Di; Li, Bo

doi:10.1109/mwc.2013.6549279

Cited by 290 publications

(23 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Is also minimises transmission energy, as this is inverse proportional to the bandwidth available. Thus, using time slots of good connectivity is an important part of Mobile Cloud Computing [9]. Recent research formulates this problem as a system of applications putting data into queues for transmission, a discrete time, and a cost function based on a power model.…”

Section: Delay Tolerant or Prefetch Friendly Synchronisationmentioning

confidence: 99%

“…For WLAN, we expect no dependance on cycle interval. In order to verify this, the experiment runner executed diffsync with different cycle intervals for 3G, GSM and WLAN network connection: The cycle intervals were 0, 1, 2, 3, 5, 6,7,8,9,10,11,12,13,20,30,60 seconds. The downlink bandwidths were 168,2 kbit/s for GSM, 2,4 mbit/s for 3G, and 2,8 mbit/s for WLAN averaged over all runs.…”

Section: Experiments Setupmentioning

confidence: 99%

See 1 more Smart Citation

Analysis of Differential Synchronisation’s Energy Consumption on Mobile Devices

Simon

Schmidt

Pammer-Schindler³

2017

EAI Endorsed Transactions on Collaborative Computing

View full text Add to dashboard Cite

Synchronisation algorithms are central to collaborative editing software. As collaboration is increasingly mediated by mobile devices, the energy efficiency for such algorithms is interest to a wide community of application developers. In this paper we explore the differential synchronisation (diffsync) algorithm with respect to energy consumption on mobile devices. Discussions within this paper are based on real usage data of PDF annotations via the Mendeley iOS app, which requires realtime synchronisation. We identify three areas for optimising diffsync: a.) Empty cycles in which no changes need to be processed b.) tail energy by adapting cycle intervals and c.) computational complexity. Following these considerations, we propose a push-based diffsync strategy in which synchronisation cycles are triggered when a device connects to the network or when a device is notified of changes.

show abstract

Section: Delay Tolerant or Prefetch Friendly Synchronisationmentioning

confidence: 99%

Section: Experiments Setupmentioning

confidence: 99%

Analysis of Differential Synchronisation’s Energy Consumption on Mobile Devices

Simon

Schmidt

Pammer-Schindler³

2017

EAI Endorsed Transactions on Collaborative Computing

View full text Add to dashboard Cite

show abstract

“…The National Institute of Standards and Technology (NIST) describe MCC as a model for enabling convenient, on-demand network access to a shared pool of computing resources. A work [22] explains one of the benefits of MCC is to extend storage, in which user data are stored in the cloud and synchronized to pervasive mobile devices. Dropbox, a popular cloud storage service, uses Amazon's S3 storage system as its back-end, and secures user data with AES-256 encryption.…”

Section: Mobile Cloud Computing (Mcc)mentioning

confidence: 99%

A review on enhancing storage space of smartphone using virtualization

Olaleye

Ranjan

2015

2015 International Conference on Futuristic Trends on Computational Analysis and Knowledge Management (ABLAZE)

View full text Add to dashboard Cite

Smartphone usage is almost everywhere. Hardly can you find a person without one except in very remote areas. With this popularity of smartphone usage, still it has limited resources especially in the areas of battery life, processor, screen quality and storage space. This paper has reviewed the importance of enhancing storage space of smartphone using virtualization. The following questions are raised; Can storage affect the performance of mobile applications? Can storage affect the performance of mobile battery? and Can storage be enhanced through the use of virtualization? It was revealed from the review work that storage can affect the performance of mobile applications, storage can affect the performance of mobile battery and storage can be enhanced through the use of virtualization.I.

show abstract

“…The advancement in mobile technology has witnessed a notable progress over the past few years. This progress has also been enhanced by improved seamless integration of very fast wireless internet connectivity [3]. It is now possible for resource impoverish mobile devices to be able to offload enormous data storage and tasking computation processing to a more powerful and centralized cloud platform [4].…”

Section: Introductionmentioning

confidence: 99%

“…In the same vein, MCC ensued some common tasking challenges of poor network connectivity and long WAN latency [3]. Therefore, ameliorating for these disadvantages brought about the concept of Ad-hoc mobile market system [6].…”

Section: Introductionmentioning

confidence: 99%

Optimal service selection in Ad-Hoc mobile market based on multi-dynamic decision algorithms

Akinola

Adigun

Akingbesote

et al. 2015

2015 World Symposium on Computer Networks and Information Security (WSCNIS)

View full text Add to dashboard Cite

The ad-hoc mobile markets are increasing daily with providers and consumers ready to participate in these markets. Issues like service discovery and selection are major challenges in these markets. As these markets grow, researchers are working on discovery while little is done on selection. Most scholars have developed different selection mechanisms considering only consumer's quality of service. As members increase and most services are offering the same functionality, one major challenge is when the numbers of producers that meet that requirement are more than one. This is because, in certain operations, time is precious and the selection must be as fast as possible for example, in emergency situation. To tackle this, we propose Multi-Dynamic Decision algorithms as a solution approach. We consider a typical M-Health scenario in our GUISET project. We use the Multi-Criteria Decision (MCD) for selection purpose and the Dynamic Programming to search for the optimal route when there are tie in services. We use hypothetical data to run this experiment by considering 15 sublocations under the M-health scenario. Our results prove to have a better performance on time based on the shortest route. This research will be useful in a time critical situations like the Mhealth.

show abstract

Gearing resource-poor mobile devices with powerful clouds: architectures, challenges, and applications

Cited by 290 publications

References 14 publications

Analysis of Differential Synchronisation’s Energy Consumption on Mobile Devices

Analysis of Differential Synchronisation’s Energy Consumption on Mobile Devices

A review on enhancing storage space of smartphone using virtualization

Optimal service selection in Ad-Hoc mobile market based on multi-dynamic decision algorithms

Contact Info

Product

Resources

About