Book ChapterDOI
AFMEACI: A Framework for Mobile Execution Augmentation Using Cloud Infrastructure
Karishma Pawar,Vandana Jagtap,Mangesh Bedekar,Debajyoti Mukhopadhyay +3 more
- pp 441-450
Reads0
Chats0
TLDR
A scalable, fault-tolerant framework for dynamically and optimally partition the application using the proposed genetic algorithm to alleviate the resource scarcity problem of the mobile devices.Abstract:
Due to advancement in mobile device technology, mobile devices are becoming an inevitable part of human lives. In context of running massive applications on mobile devices, users can’t utilize the potential of mobile devices in an efficient manner since mobile devices are constrained by processing power, memory requirements and battery capacity. To alleviate this resource scarcity problem of the mobile devices, mobile cloud computing is the most promising solution which combines the technologies from both the mobile computing and the cloud computing. The execution of heavy application on mobile devices is augmented by powerful and resource-abundant cloud servers. This is achieved by partitioning an application into tasks such that the computational intensive tasks are offloaded to cloud and after executing task on cloud, results are sent back to mobile device, referred to as computation offloading. In this paper, we have put forth a scalable, fault-tolerant framework for dynamically and optimally partition the application using our proposed genetic algorithm.read more
Citations
More filters
Proceedings ArticleDOI
A survey on Data Analytic Platforms for Internet of Things
Karishma Pawar,Vahida Attar +1 more
TL;DR: The fully matured cloud computing technology best fit the scenario of IoT and big data analytics offering powerful resources to carry out analytical and management tasks.
Rethinking Trust in E-Commerce in a Context-aware, Mobile World
TL;DR: It is argued that newer and richer understanding of the issue of trust informed by mobile commerce is important and research is needed to understand the nature of trust in context-aware technologies.
Journal ArticleDOI
Adaptive Proximate Computing Framework for Mobile Resource Augmentation
Subbarayan Anitha,T. Padma +1 more
TL;DR: This research work provides a feasible solution for the development of resource intensive mobile application and its accessibility by mobile user regardless of the resource scarcity of mobile device.
Journal ArticleDOI
Comparative study of Transformer and LSTM Network with attention mechanism on Image Captioning
TL;DR: In this paper , a comparison of Transformer and LSTM with attention block model on MS-COCO dataset, which is a standard dataset for image captioning is made.
References
More filters
Proceedings ArticleDOI
MAUI: making smartphones last longer with code offload
Eduardo Cuervo,Aruna Balasubramanian,Dae-Ki Cho,Alec Wolman,Stefan Saroiu,Ranveer Chandra,Paramvir Bahl +6 more
TL;DR: MAUI supports fine-grained code offload to maximize energy savings with minimal burden on the programmer, and decides at run-time which methods should be remotely executed, driven by an optimization engine that achieves the best energy savings possible under the mobile device's current connectivity constrains.
Proceedings ArticleDOI
CloneCloud: elastic execution between mobile device and cloud
TL;DR: The design and implementation of CloneCloud is presented, a system that automatically transforms mobile applications to benefit from the cloud that enables unmodified mobile applications running in an application-level virtual machine to seamlessly off-load part of their execution from mobile devices onto device clones operating in a computational cloud.
Proceedings ArticleDOI
ThinkAir: Dynamic resource allocation and parallel execution in the cloud for mobile code offloading
TL;DR: This paper proposes ThinkAir, a framework that makes it simple for developers to migrate their smartphone applications to the cloud and enhances the power of mobile cloud computing by parallelizing method execution using multiple virtual machine (VM) images.
Augmented smartphone applications through clone cloud execution
Byung-Gon Chun,Petros Maniatis +1 more
TL;DR: This paper proposes a novel architecture that addresses challenges via seamlessly--but partially--off-loading execution from the smartphone to a computational infrastructure hosting a cloud of smartphone clones, called CloneCloud.
Journal ArticleDOI
A framework for partitioning and execution of data stream applications in mobile cloud computing
TL;DR: This work studies the computation partitioning, which aims at optimizing the partition of a data stream application between mobile and cloud such that the application has maximum speed/throughput in processing the streaming data.