Results 1 - 10 of 155

User Mobility-Aware Decision Making for Mobile Computation Offloading

by Kilho Lee, Insik Shin
"... Abstract—The last decade has seen a rapid growth in the use of mobile devices all over the world. With an increasing use of mobile devices, mobile applications are getting more diverse and complex, demanding more computational resources. However, mobile devices are typically resource-limited (i.e., ..."
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.e., a slower-speed CPU, a smaller memory) due to a variety of reasons. Mobile users will be capable of running applications with heavy computation if they can offload some of their computations to other places, such as desktop or server machines. However, mobile users are typically subject

Mobility-Aware Estimation of Content Consumption Hotspots for Urban Cellular Networks

by Sahar Hoteit, Stefano Secci, Guy Pujolle, Vinh Hoa La, Cezary Ziemlicki, Zbigniew Smoreda
"... Abstract—A present issue in the evolution of mobile cellular networks is determining whether, how and where to deploy adaptive content and cloud distribution solutions at the base station and backhauling network level. Intuitively, an adaptive placement of content and computing resources in the most ..."
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Abstract—A present issue in the evolution of mobile cellular networks is determining whether, how and where to deploy adaptive content and cloud distribution solutions at the base station and backhauling network level. Intuitively, an adaptive placement of content and computing resources

Optimizing Offloading Strategies in Mobile Cloud Computing

by Esa Hyytiä, Thrasyvoulos Spyropoulos, Jörg Ott
"... Abstract—We consider a dynamic offloading problem arising in the context of mobile cloud computing (MCC). In MCC, three types of tasks can be identified: (i) those which can be processed only locally in a mobile device, (ii) those which are processed in the cloud, and (iii) those which can be proces ..."
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Abstract—We consider a dynamic offloading problem arising in the context of mobile cloud computing (MCC). In MCC, three types of tasks can be identified: (i) those which can be processed only locally in a mobile device, (ii) those which are processed in the cloud, and (iii) those which can

To offload or not to offload: an efficient code

by unknown authors
"... Abstract — A new class of cognition augmenting applications such as face recognition or natural language processing is emerging for mobile devices. This kind of applications is computation and power intensive and a cloud infrastructure would provide a great potential to facilitate the code execution ..."
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Abstract — A new class of cognition augmenting applications such as face recognition or natural language processing is emerging for mobile devices. This kind of applications is computation and power intensive and a cloud infrastructure would provide a great potential to facilitate the code

Mobile Offloading in the Wild: Findings and Lessons Learned Through a Real-life Experiment with a New Cloud-aware System

by Marco V. Barbera, Sokol Kosta, Ro Mei, Vasile C. Perta, Julinda Stefa
"... Abstract—Mobile-cloud offloading mechanisms delegate heavy mobile computation to the cloud. In real life use, the energy tradeoff of computing the task locally or sending the input data and the code of the task to the cloud is often negative, especially with popular communication intensive jobs like ..."
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Abstract—Mobile-cloud offloading mechanisms delegate heavy mobile computation to the cloud. In real life use, the energy tradeoff of computing the task locally or sending the input data and the code of the task to the cloud is often negative, especially with popular communication intensive jobs

Cloud Offload in Hostile Environments

by Kiryong Ha, Grace Lewis, Soumya Simanta, Mahadev Satyanarayanan , 2011
"... research and development center. Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and do not necessarily represent the views of the NSF, Intel, DoD, SEI, or Carnegie Mellon University. This material has been approved for public release and un ..."
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and unlimited distribution except as restricted by copyright. Keywords: mobile computing, cloud computing, cyber foraging, smartphones, virtual machines, system architecture, cloudlets, disconnected operation, fault tolerance, failure resiliency, denial of service, wireless networks, jamming, ad hoc networks

ENDA: Embracing Network Inconsistency for Dynamic Application Offloading in Mobile Cloud Computing

by Jiwei Li, Kai Bu, Xuan Liu, Bin Xiao
"... Mobile Cloud Computing (MCC) enables smartphones to of-fload compute-intensive codes and data to clouds or cloudlets for energy conservation. Thus, MCC liberates smartphones from battery shortage and embraces more versatile mobile applications. Most pioneering MCC research work requires a consistent ..."
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Mobile Cloud Computing (MCC) enables smartphones to of-fload compute-intensive codes and data to clouds or cloudlets for energy conservation. Thus, MCC liberates smartphones from battery shortage and embraces more versatile mobile applications. Most pioneering MCC research work requires a

Application Method-based Efficient Offloading Scheme in Mobile Cloud Computing

by Ahmed A. A. Gad-elrab, T. A. A. Alzohairy, Farouk A. Emara
"... Mobile Cloud Computing is a new paradigm that transfers the data storage and the data processing from a mobile device to a power full cloud server which has a big storage. Mobile cloud applica-tions use offloading schemes to move the computing power and data storage away from mobile phones into this ..."
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Mobile Cloud Computing is a new paradigm that transfers the data storage and the data processing from a mobile device to a power full cloud server which has a big storage. Mobile cloud applica-tions use offloading schemes to move the computing power and data storage away from mobile phones

Offload (Only) the Right Jobs: Robust Offloading Using the Markov Decision Processes

by Thrasyvoulos Spyropoulos
"... Abstract—We consider a dynamic offloading problem arising in the context of mobile cloud computing (MCC). In MCC, three types of tasks can be identified: (i) those which can be processed only locally in a mobile device, (ii) those which are processed in the cloud, and (iii) those which can be proces ..."
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Abstract—We consider a dynamic offloading problem arising in the context of mobile cloud computing (MCC). In MCC, three types of tasks can be identified: (i) those which can be processed only locally in a mobile device, (ii) those which are processed in the cloud, and (iii) those which can

Offloading Android Applications Framework with The Help of Cloud I

by Harsh Bandhu Parnami , Nishu Bansal , Mayank Arora
"... Cloud computing could be seen as a network service providing computational resources (hardware and software) on demand. A virtual pool of computational resources such as storage, CPU, networks, software etc. is created to fulfill the user's resource requirement and provides on demand hardware ..."
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Cloud computing could be seen as a network service providing computational resources (hardware and software) on demand. A virtual pool of computational resources such as storage, CPU, networks, software etc. is created to fulfill the user's resource requirement and provides on demand hardware
Results 1 - 10 of 155