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Exploring device-to-device communication for mobile cloud computing

Yujin Li, Lei Sun, Wenye Wang
2014 2014 IEEE International Conference on Communications (ICC)  
With the popularity of smartphones and explosion of mobile applications, mobile devices become the prevalent computing platform for convenient communication and rich entertainment.  ...  An important issue in exploring D2D communication for MCC is how users can detect and utilize the computing resources on other mobile devices.  ...  If battery level is low, large ǫ can reduce energy consumption with performance compromise.  ... 
doi:10.1109/icc.2014.6883656 dblp:conf/icc/LiSW14 fatcat:ek6wdrskjrfsjgxt576tiulyyu

Energy-Efficient Computation Offloading for Wearable Devices and Smartphones in Mobile Cloud Computing

Claudio Ragona, Fabrizio Granelli, Claudio Fiandrino, Dzmitry Kliazovich, Pascal Bouvry
2014 2015 IEEE Global Communications Conference (GLOBECOM)  
Mobile cloud computing can augment the capabilities of wearable devices by helping to execute some of the computing tasks in the cloud.  ...  In this paper, we present a model and comprehensive analysis for computational offloading between wearable devices and clouds in realistic setups.  ...  ACKNOWLEDGMENT The authors would like to acknowledge the funding from National Research Fund, Luxembourg in the framework of ECO-CLOUD and iShOP projects.  ... 
doi:10.1109/glocom.2014.7417039 dblp:conf/globecom/RagonaGFKB15 fatcat:vseqezlv6bhy5nudp7s4ozeeay

Energy-Efficient Computation Offloading for Wearable Devices and Smartphones in Mobile Cloud Computing

Claudio Ragona, Fabrizio Granelli, Claudio Fiandrino, Dzmitry Kliazovich, Pascal Bouvry
2015 2015 IEEE Global Communications Conference (GLOBECOM)  
Mobile cloud computing can augment the capabilities of wearable devices by helping to execute some of the computing tasks in the cloud.  ...  In this paper, we present a model and comprehensive analysis for computational offloading between wearable devices and clouds in realistic setups.  ...  ACKNOWLEDGMENT The authors would like to acknowledge the funding from National Research Fund, Luxembourg in the framework of ECO-CLOUD and iShOP projects.  ... 
doi:10.1109/glocom.2015.7417039 fatcat:adtwlku3k5agxiloawvcdtwmre

A Computing Offloading Game for Mobile Devices and Edge Cloud Servers

Meiwen Li, Qingtao Wu, Junlong Zhu, Ruijuan Zheng, Mingchuan Zhang
2018 Wireless Communications and Mobile Computing  
Computing offloading of mobile devices (MDs) through cloud is a greatly effective way to solve the problem of local resource constraints.  ...  In addition, we propose two algorithms, F-SGA and C-SGA, for delay-sensitive and compute-intensive applications, respectively.  ...  [33] explored how infrastructure of edge computing can improve latency and energy consumption relative to the Wireless Communications and Mobile Computing 3 cloud by analyzing multiple types of mobile  ... 
doi:10.1155/2018/2179316 fatcat:j3szikki6ffx7pxg57ozsvl7cy

Making the case for computational offloading in mobile device clouds

Afnan Fahim, Abderrahmen Mtibaa, Khaled A. Harras
2013 Proceedings of the 19th annual international conference on Mobile computing & networking - MobiCom '13  
In this work, we first highlight the gain in computation time and energy consumption that can be achieved by offloading tasks to nearby devices inside a mobile device cloud.  ...  It is common practice for mobile devices to offload computationally heavy tasks off to a cloud, which has greater computational resources.  ...  Figure 5: Snapshot of Energy Test Bed We introduce our mobile device cloud (MDC) experimental platform for mobile cloud computing research.  ... 
doi:10.1145/2500423.2504576 dblp:conf/mobicom/FahimMH13 fatcat:gfj47lmzzjg5zpyzq464smwxlu

Securing elastic applications on mobile devices for cloud computing

Xinwen Zhang, Joshua Schiffman, Simon Gibbs, Anugeetha Kunjithapatham, Sangoh Jeong
2009 Proceedings of the 2009 ACM workshop on Cloud computing security - CCSW '09  
As first steps we propose a solution for authentication and secure session management between weblets running device side and those on the cloud.  ...  In our project we aim to build elastic applications which augment resource-constrained platforms, such as mobile phones, with elastic computing resources from clouds.  ...  ELASTIC APPLICATIONS FOR MOBILE PLATFORM Concepts and Benefits The objective of an elastic application is to dynamically leverage cloud computing for resource-constrained mobile devices.  ... 
doi:10.1145/1655008.1655026 dblp:conf/ccs/ZhangSGKJ09 fatcat:kxspoie7srgq3epdfy6rnyjdci

Mobile devices and computing cloud resources allocation for interactive applications

Henryk Krawczyk, Michał Nykiel
2017 Archives of Control Sciences  
However, there is an optimization problem of mobile device and cloud resources allocation. An iterative heuristic algorithm for application distribution is proposed.  ...  Using mobile devices such as smartphones or iPads for various interactive applications is currently very common.  ...  One of solutions for this problem is integration between the computing cloud and a mobile device [19] .  ... 
doi:10.1515/acsc-2017-0019 fatcat:dfigj5buobh6bnyfitfa4ujqru

Mobile devices as interfaces for steering cloud-based high-performance computations

Young-Woo Kwon, Eli Tilevich
2015 Proceedings of the 3rd International Workshop on Mobile Development Lifecycle - MobileDeLi 2015  
However, several research challenges must be addressed to be able to seamlessly use mobile devices as convenient interfaces for steering cloudbased high-performance computations.  ...  As mobile devices have been steadily overtaking the personal computer as a primary computing platform, mobile applications deliver increasingly complex functionality.  ...  Recently, cloud offloading has gained prominence to reduce the energy consumption of mobile applications, whose functionality sets and computational needs expand continuously.  ... 
doi:10.1145/2846661.2846676 dblp:conf/oopsla/KwonT15 fatcat:rriok5jxzngc5d2fkg3b7jozfa

Reducing Energy Consumption in Smart System through Mobilouds Framework

Mr. Muneshwara M.S, Dr. Anil G.N, Dr. Thungamani M
2017 International Journal of Trend in Scientific Research and Development  
Mobile cloud computing (MCC) it's related energy implication are seen everywhere in large Offloading computationally raised endeavor's to the cloud datacentres being the basic thought driving MCC (Mobile  ...  Mobilouds framework energizes the mobile device co-operation in the MCC (Mobile Cloud Computing) synchronized effort execution, there by lessens the weight of idle mobile resource and uses such idle resource  ...  -2 | Issue -1 Scientific (IJTSRD) International Open Access Journal Reducing Energy Consumption in Smart System Dr.  ... 
doi:10.31142/ijtsrd6998 fatcat:ykx7z433yjfd5le4ipithqootq

A Review on Distributed Application Processing Frameworks in Smart Mobile Devices for Mobile Cloud Computing

Muhammad Shiraz, Abdullah Gani, Rashid Hafeez Khokhar, Rajkumar Buyya
2013 IEEE Communications Surveys and Tutorials  
Mobile Cloud Computing (MCC) is the latest practical solution for alleviating this incapacitation by extending the services and resources of computational clouds to SMDs on demand basis.  ...  The latest developments in mobile devices technology have made smartphones as the future computing and service access devices.  ...  The framework reflects on execution time and energy consumption at mobile device for cost metrics.  ... 
doi:10.1109/surv.2012.111412.00045 fatcat:m26vd5clvbgfrpo2cdohuog3uq

Towards resource sharing in mobile device clouds

Abderrahmen Mtibaa, Afnan Fahim, Khaled A. Harras, Mostafa H. Ammar
2013 Proceedings of the second ACM SIGCOMM workshop on Mobile cloud computing - MCC '13  
This has been addressed through several proposals for efficient computation offloading from mobile devices to remote cloud resources or closely located computing resources known as cloudlets.  ...  In this paper we consider an environment in which computational offloading is performed among a set of mobile devices. We call this environment a Mobile Device Cloud (MDC).  ...  Our work can be viewed as providing mechanisms for the balancing of power consumption due to computational load across nodes of a mobile device cloud (MDC).  ... 
doi:10.1145/2491266.2491276 dblp:conf/sigcomm/MtibaaFHA13 fatcat:qokmeo4hubftrjvh53i6xt5qqe

Jade: Reducing Energy Consumption of Android App

Hao Qian, Daniel Andresen
2015 International Journal of Networked and Distributed Computing (IJNDC)  
Offloading computation to multiple devices is an effective method to reduce energy consumption and enhance performance for mobile applications.  ...  Evaluation shows that Jade can effectively reduce up to 39% of average power consumption for mobile application while improving application performance.  ...  One popular technique to reduce energy consumption of mobile devices is computation offloading in which an application reduces energy consumption by delegating code execution to other devices. 3, 4, 5  ... 
doi:10.2991/ijndc.2015.3.3.2 fatcat:u6pfbq2cnnasvalzgubue7npyq

Profiling Performance of Application Partitioning for Wearable Devices in Mobile Cloud and Fog Computing

Claudio Fiandrino, Nicholas Allio, Dzmitry Kliazovich, Paolo Giaccone, Pascal Bouvry
2019 IEEE Access  
INDEX TERMS Mobile cloud computing, fog computing, energy efficiency, IoT, wearable devices.  ...  Mobile cloud computing (MCC) and the recently emerged fog computing (FC) paradigms unleash unprecedented opportunities to augment the capabilities of wearable devices.  ...  This process reduces battery consumption of the mobile devices, and enhances and augments performance of the mobile applications.  ... 
doi:10.1109/access.2019.2892508 fatcat:54ec22eqlbfdfi47r32ufn4xfy

Exploiting On-Device Image Classification for Energy Efficiency in Ambient-Aware Systems [chapter]

Mohammed Shoaib, Swagath Venkataramani, Xian-Sheng Hua, Jie Liu, Jin Li
2015 Mobile Cloud Visual Media Computing  
In this article, we show how to reduce energy in such systems by employing simple on-device computations.  ...  A naïve solution is to sample and stream video to the cloud, where advanced algorithms can be used for analysis. However, this increases communication-energy costs, making this approach impractical.  ...  Design Approach As an alternative to performing all computations in the cloud, we propose to split the sequence so that computations are supported in parts on the device and the cloud.  ... 
doi:10.1007/978-3-319-24702-1_7 fatcat:oftquf42cbftddqll5znh3jf64

Reducing energy consumption via cooperative OFDMA mobile clusters

Zheng Chang, Tapani Ristaniemi
2012 2012 IEEE 17th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)  
In order to solve such a problem, a scheme called distributed mobile cloud (DMC) is foreseen as one of the potential solutions to reduce energy consumption per node in a network.  ...  Aggressive techniques induce high energy consumption for the circuits of MTs, which drain the batteries fast and consequently limit mobility.  ...  In order to solve such a problem, a scheme called distributed mobile cloud (DMC) is foreseen as one of the potential solutions to reduce energy consumption per node in a network.  ... 
doi:10.1109/camad.2012.6335321 dblp:conf/camad/ChangR12 fatcat:gbsrrwqarjdqhlc53azk6ysysa
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