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A Contextual Data Offloading Service With Privacy Support

Francisco Gomes, Lincoln Rocha, Fernando Trinta
2019 Anais Estendidos do Simpósio Brasileiro de Sistemas Multimídia e Web (WebMedia)   unpublished
This article presents a service named COP (Contextual data Offloading service with Privacy support) to mitigate these problems.  ...  We verified that most of them do not store contextual data history and that few of these infrastructures take into account the privacy of contextual data.  ...  Para resolver essas questões, propusemos um serviço de descarregamento de dados com suporte à privacidade chamado COP (Contextual data Offloading service with Privacy support) [5] .  ... 
doi:10.5753/webmedia_estendido.2019.8133 fatcat:bt6w65ug6fdszehzdgnejpno5e

Privacy-Aware Online Task Offloading for Mobile-Edge Computing [chapter]

Ting Li, Haitao Liu, Jie Liang, Hangsheng Zhang, Liru Geng, Yinlong Liu
2020 Lecture Notes in Computer Science  
Firstly, we formulate the joint optimization problem of task offloading and privacy preservation as a semiparametric contextual multi-armed bandit (MAB) problem, which has a relaxed reward model.  ...  In order to tackle these challenges, a privacy-preserving and device-managed task offloading scheme is proposed in this paper for MEC.  ...  Data Availability The (DATA TYPE) data used to support the findings of this study are included within the article.  ... 
doi:10.1007/978-3-030-59016-1_21 fatcat:wmjd24uhurgrdl4xq4udbv6zla

Advancing the state of mobile cloud computing

Paramvir Bahl, Richard Y. Han, Li Erran Li, Mahadev Satyanarayanan
2012 Proceedings of the third ACM workshop on Mobile cloud computing and services - MCS '12  
The capabilities of mobile devices have been improving very quickly in terms of computing power, storage, feature support, and developed applications.  ...  However, these mobile applications are still intrinsically limited by a relative lack of bandwidth, computing power, and energy compared to their tethered counterparts.  ...  Context extraction service provides data mining analysis of mobile data combined with other forms of data, such as social networking data and sensor network data, in order to extract contextual clues relevant  ... 
doi:10.1145/2307849.2307856 fatcat:kh7hlxgtnjgehl2izmrwkotaam

Challenges and opportunities of Mobile Cloud Computing

Mojtaba Alizadeh, Wan Haslina Hassan
2013 2013 9th International Wireless Communications and Mobile Computing Conference (IWCMC)  
Mobile Cloud Computing (MCC) is a new paradigm for mHealth applications.  ...  However, as with any innovation, the integration of cloud computing with mobile computing should be evaluated before its widespread adoption.  ...  However, there are concerns regarding the offloading overhead for privacy, security, reliability, and data communication during the offloading process especially in a dynamic environment (e.g., changing  ... 
doi:10.1109/iwcmc.2013.6583636 dblp:conf/iwcmc/AlizadehH13 fatcat:muupb6ep2ncl3g66bpk3uhxjce

Computational Offloading in FOG computing using Machine Learning Approaches

Najmus Saqib, Nadeem Yousuf Khanday
2020 International Journal of Scientific Research in Computer Science Engineering and Information Technology  
Computation offloading is a prominent exposition for the mobile devices that lack the computational power to execute applications that require a high computational cost.  ...  The common measures' being load harmonizing at the servers on which task is to be computed, energy management, security and privacy of tasks to be offloaded and the most important being the computational  ...  Privacy and security Because of privacy and security concern offloading is required if the data is secretive.For example, patients data from a hospital's local machines may be moved to a cloud which is  ... 
doi:10.32628/cseit206221 fatcat:ok7jmgd76vgdlbga4aggzklmti

Software Architecture for Mobile Cloud Computing Systems

Alreshidi, Ahmad, B. Altamimi, Sultan, Mehmood
2019 Future Internet  
, (iii) internet of things, edge, and fog computing along with various aspects like (iv) security and privacy of mobile device data.  ...  The results of the SMS highlight that architectural solutions for MCC systems are mainly focused on supporting (i) software as a service for mobile computing, (ii) off-loading mobile device data to cloud-servers  ...  poverty of mobile devices, along with data security and privacy for mobile computing environments.  ... 
doi:10.3390/fi11110238 fatcat:jbqs3ifuqrcbzi6adixta2l4my

A Research on Mobile Cloud Computing and Future Trends

Fei Gu, Jianwei Niu, Zhenxue He
2016 EAI Endorsed Transactions on Industrial Networks and Intelligent Systems  
With an exploding growth of the mobile applications and emerging of cloud computing, mobile cloud computing (MCC) has become a potential technology for mobile services.  ...  In this paper, we give a definition of mobile cloud computing and provide an overview of state-of-the-art progress, in particular, models of mobile cloud applications.  ...  Context extraction service provides data mining analysis of mobile data combined with other forms of data, such as social networking data and sensor network data, in order to extract contextual clues relevant  ... 
doi:10.4108/eai.21-4-2016.151159 fatcat:h5fsgpvvujdbtmiku4nwz5wahe

Survey on Multi-Access Edge Computing for Internet of Things Realization

Pawani Porambage, Jude Okwuibe, Madhusanka Liyanage, Mika Ylianttila, Tarik Taleb
2018 IEEE Communications Surveys and Tutorials  
MEC will inspire the development of myriads of applications and services with demand for ultra low latency and high Quality of Service (QoS) due to its dense geographical distribution and wide support  ...  IoT technologies augmented with intelligent and big data analytics are expected to rapidly change the landscape of myriads of application domains ranging from health care to smart cities and industrial  ...  [74] Design and implement a fog computing based framework that support sharing and reusing contextual data across services in smart city and retail stores.  ... 
doi:10.1109/comst.2018.2849509 fatcat:fnksr3dbqfakzfvnopyyxjdlfm

Implementation analysis of IoT-based offloading frameworks on cloud/edge computing for sensor generated big data

Karan Bajaj, Bhisham Sharma, Raman Singh
2021 Complex & Intelligent Systems  
In this paper, the role of context or situation to perform the offloading is studied and drawn to a conclusion, that to meet the performance requirements of IoT enabled services, context-based offloading  ...  Data collected over the IoT applications, mostly through the sensors connected over the devices, and with the increasing demand, it is not possible to process all the data on the devices itself.  ...  A Mobile Edge Computing (MEC) [49] , based on an adaptive framework that supports mobile applications with offloading is proposed.  ... 
doi:10.1007/s40747-021-00434-6 fatcat:q7itavmy6vhjrouldk4qbuuecu

A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art

Quoc-Viet Pham, Fang Fang, Vu Nguyen Ha, Md. Jalil Piran, Mai Le, Long Bao Le, Won-Joo Hwang, Zhiguo Ding
2020 IEEE Access  
Although a new service (i.e., out-set-of-function service) can be supported by MEC by offloading raw data to cloud for processing, this may lead to huge cost of energy and time.  ...  offloading, and preserve network security and data privacy.  ... 
doi:10.1109/access.2020.3001277 fatcat:isme7xwfejf4pfnowosljxnzja

A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art [article]

Quoc-Viet Pham, Fang Fang, Vu Nguyen Ha, Md. Jalil Piran, Mai Le, Long Bao Le, Won-Joo Hwang, Zhiguo Ding
2020 arXiv   pre-print
Indeed, the paradigm shift from 4G to 5G could become a reality with the advent of new technological concepts.  ...  the cloud, provide the cloud computing capabilities within the radio access network (RAN) in close proximity to mobile users, and offer context-aware services with the help of RAN information.  ...  Although a new service (i.e., outset-of-function service) can be supported by MEC by offloading raw data to cloud for processing, this may lead to huge cost of energy and time.  ... 
arXiv:1906.08452v2 fatcat:krti5kagxzeqte7osdpxs4lxoe

Guest Editorial Special Issue on Smart IoT System: Opportunities by Linking Cloud, Edge, and AI

Wangdong Yang, Laurence T. Yang, A. T. Chronopoulos
2021 IEEE Internet of Things Journal  
The privacy-preserving decision tree classification is achieved by searching the encrypted indexes with encrypted biomedical data.  ...  To cope with the huge data and reply promptly and accurately, a recent trend is to deploy welltrained artificial intelligence (AI) model on edge servers, whose capacities are somewhat bigger than those  ...  terms of architecture, offloading, security and privacy, and applications.  ... 
doi:10.1109/jiot.2021.3092440 fatcat:psdtaq4pdnemvd4zofkj5k3djm

Survey on Multi-Access Edge Computing Security and Privacy

Pasika Ranaweera, Anca Delia Jurcut, Madhusanka Liyanage
2021 IEEE Communications Surveys and Tutorials  
Privacy Preserving Solutions 1) Task Offloading based solutions: As offloading becomes a common occurrence with MEC, the privacy of the data being conveyed towards the edge infrastructure is a concern  ...  A typical offloading task is different from a data offloading scenario.  ... 
doi:10.1109/comst.2021.3062546 fatcat:u3xxvixiw5a4fdl2wxdla24ocu

Edge Computing

Weisong Shi, George Pallis, Zhiwei Xu
2019 Proceedings of the IEEE  
Edge computing needs powerful computing power and massive storage support of a cloud computing center, and the cloud computing center also needs the edge computing model to process massive data and privacy  ...  In this context, sensory data are converted from raw signals to contextually relevant information in the proximity of the data source.  ... 
doi:10.1109/jproc.2019.2928287 fatcat:g3fed2k765hczkgrudxu5x4cz4

What the Fog? Edge Computing Revisited: Promises, Applications and Future Challenges

Julien Gedeon, Florian Brandherm, Rolf Egert, Tim Grube, Max Muhlhauser
2019 IEEE Access  
This article provides a comprehensive snapshot of the current edge computing landscape, with a focus on the application perspective.  ...  Often leveraged opportunistically, these heterogeneous resources can be used to offload data and computations, enabling upcoming demanding applications such as augmented reality and autonomous driving.  ...  data from other services to provide higher-order, yet privacy-aware services.  ... 
doi:10.1109/access.2019.2948399 fatcat:j35c35yodzacpbvonjpgn63ar4
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