Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Tamper-Resistant Autonomous Agents-Based Mobile-Cloud Computing
Date
2016-01-01
Author
Angın, Pelin
Ranchal, Rohit
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
164
views
0
downloads
Cite This
The rise of the mobile-cloud computing paradigm has enabled mobile devices with limited processing power and battery life to achieve complex tasks in real-time. While mobile-cloud computing is promising to overcome limitations of mobile devices for real-time computing needs, the reliance of existing models on strong assumptions such as the availability of a full clone of the application code and non-standard system environments in the cloud makes it harder to manage the performance of mobile-cloud computing based applications. Furthermore, offloading mobile computation to the cloud entails security risks associated with sending data and code to an untrusted platform and perfect security is hard to achieve due to the extra computational overhead introduced by complex mechanisms. In this paper, we present a dynamic computation-offloading model for mobile-cloud computing, based on autonomous agent-based application partitions. We propose a dynamic tamper-resistance approach for managing the security of offloaded computation, by augmenting agents with self-protection capability using a low-overhead introspection and integrity-preserving communication mechanism. Experiments with a real-world mobile application demonstrates the effectiveness of the approach for high-performance, tamper-resistant mobile-cloud computing.
Subject Keywords
Cloud computing
,
Mobile communication
,
Encryption
,
Mobile handsets
,
Computational modeling
URI
https://hdl.handle.net/11511/41086
DOI
https://doi.org/10.1109/noms.2016.7502912
Collections
Department of Computer Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
A Self-Cloning Agents Based Model for High-Performance Mobile-Cloud Computing
Angın, Pelin; Jin, Zhongjun (2015-07-02)
The rise of the mobile-cloud computing paradigm in recent years has enabled mobile devices with processing power and battery life limitations to achieve complex tasks in real-time. While mobile-cloud computing is promising to overcome the limitations of mobile devices for real-time computing, the lack of frameworks compatible with standard technologies and techniques for dynamic performance estimation and program component relocation makes it harder to adopt mobile-cloud computing at large. Most of the avai...
An Efficient graph-theoretical approach for interactive mobile image and video segmentation
Şener, Ozan; Alatan, Abdullah Aydın; Department of Electrical and Electronics Engineering (2013)
Over the past few years, processing of visual information by mobile devices getting more affordable due to the advances in mobile technologies. Efficient and accurate segmentation of objects from an image or video leads many interesting multimedia applications. In this study, we address interactive image and video segmentation on mobile devices. We first propose a novel interaction methodology leading better satisfaction based on subjective user evaluation. Due to small screens of the mobile devices, error ...
Efficient inertially aided visual odometry towards mobile augmented reality
Aksoy, Yağız; Alatan, Abdullah Aydın; Department of Electrical and Electronics Engineering (2013)
With the increase in the number and computational power of commercial mobile devices like smart phones and tablet computers, augmented reality applications are gaining more and more volume. In order to augment virtual objects effectively in real scenes, pose of the camera should be estimated with high precision and speed. Today, most of the mobile devices feature cameras and inertial measurement units which carry information on change in position and attitude of the camera. In this thesis, utilization of in...
An agent-based optimization framework for mobile-cloud computing
Angın, Pelin (2013-01-01)
The proliferation of cloud computing resources in the recent years offers a way for mobile devices with limited resources to achieve computationally intensive tasks in real-time. The mobile-cloud computing paradigm, which involves collaboration between mobile and cloud resources, is expected to become increasingly popular in mobile application development. Dynamic partitioning of applications between mobile and cloud platforms based on resource availability is crucial in achieving the best performance for a...
Implementation of a wireless streaming system for universal multimedia access
Ünal, Halim Ünsem; Akar, Gözde; Department of Electrical and Electronics Engineering (2003)
This thesis describes a universal multimedia access system and its implementation details. In the context of this document, universal multimedia access means accessing multimedia content over ubiquitous computer networks, using different computing platforms. The computer networks involve both wired and wireless networks, and computing platforms involve wired PC, mobile PC and personal digital assistants (PDA). The system is built on a client/server architecture. Video data is H.263 coded and carried over RT...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
P. Angın and R. Ranchal, “Tamper-Resistant Autonomous Agents-Based Mobile-Cloud Computing,” 2016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/41086.