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Driven by the exponentially increasing amount of mobile video traffic, caching videos closer to the end users has become an appealing solution to reduce the traffic through the backbone network while improving users' perceived quality-of-experience (e.g., better video quality and reduced service delay). This research interest has been gaining lots of momentums due to the emergence of smart Access...
This paper describes the first results of the evaluation of the use of Hippocratic Protocol, on mobile terminals with NFC technology. The evaluation is based on a software application written to ANDROID terminal and used by two type of users: Doctors and Patient. Complementing this app, a server and a database implemented with open source resources was created too. The software developed during this...
This work introduces a new model for cloud gaming systems aimed at optimizing the timeliness of video frames based on an age of information (AoI) metric. Mobile clients submit actions through an access network to a game server. The game server generates video frames at a constant frame rate. At the mobile device, the display of these frames represent game status updates. We develop a Markov model...
Mobile advertisements are critical for both mobile users and businesses as people spend more time on mobile devices than on PCs. However, how to send relevant advertisements and avoid unnecessary ones to specific mobile users is always a challenge. For example, a concert-goer may like to visit restaurants or parks before the concert and may not like the advertisements of grocery stores or farmers'...
Mobile Crowdsensing s a new sensing paradigms which bring the revolutionary advance in crowdsourcing application. Although there are many possibilities in crowd sensing application, motivation and incentive is a critical issue when the devices have very limited resources (e.g., energy and storage capacity) or the information revealed is highly sensitive. In this research, we design a motivation model...
An important category of mobile crowdsensing applications involve collecting sensor measurements from mobile devices and querying mobile users for annotations to build machine learning models for inference and prediction. Trade-offs between inference performance and the costs of data acquisition (both unlabeled and labeled) are not yet well understood. In this paper, we develop, ALSense, a distributed...
We consider a general multi-user mobile cloud computing system with a computing access point (CAP), where each mobile user has multiple independent tasks that may be processed locally, at the CAP, or at a remote cloud server. The CAP serves both as the network access gateway and a computation service provider to the mobile users. We aim to jointly optimize the offloading decisions of all users' tasks...
Recent studies have suggested that the stability of peer-to-peer networks may rely on persistent peers, who dwell on the network after they obtain the entire file. In the absence of such peers, one piece becomes extremely rare in the network, which leads to instability. Technological developments, however, are poised to reduce the incidence of persistent peers, giving rise to a need for a protocol...
In edge-cloud computing, a set of edge servers are deployed near the mobile devices such that these devices can offload jobs to the servers with low latency. One fundamental and critical problem in edge-cloud systems is how to dispatch and schedule the jobs so that the job response time (defined as the interval between the release of a job and the arrival of the computation result at its device) is...
This paper considers the efficacy of using active network technology to offload computation from small mobile devices into network node computing centers. The performance of six algorithms for use in this process is compared and conclusions are drawn.
We propose a novel IoT directory service for storing, updating, and providing records of mobile IoT devices or objects. The IoT directory service is designed to manage a massive number of records (about one billion) and support fast lookup (latency of less than 10ms). It performs proactive caching of the records in various replicas (following the movement of mobile IoT devices or application clients)...
The evolution of the Internet of Things (IoT) is bringing Cloud services closer to the networks' edge. Thus, fog networking presents itself as an approach aiming to utilize more and more resources in network edge devices to provide various networking tasks. This work presents an optimization formulation that minimizes the cost of executing a set of services, taking into account the availability of...
Mixed reality (MR) applications not only require low-latency and high-capacity networks to deliver sensor generated data and virtual holograms, but also demand high-performance computing capability to process data and prepare virtual holograms. Mobile edge computing emerges as a promising networking solution for mixed reality applications. In this demo, we design the MExR system which is a mobile...
Network virtualization and SDN-based routing allow carriers to flexibly configure their networks in response to demand and unexpected network disruptions. However, cellular networks, by nature, pose some unique challenges because of user mobility and control/data plane partitioning, which calls for new architectures and provisioning paradigms. In this paper, we address the latter part by devising...
5G operators will utilize mobile edge computing (MEC) to shorten transmitting latency and fulfill the requirements of increasing mobile applications for high bandwidth and ultra-low latency. A mobile online system (MOS) supports mobile online applications to trigger events in the mobile devices, refresh data, and maintain data consistency in the clouds. As users run mobile online applications, a MOS...
Our work presents a methodology and a tool to optimize Android applications using mobile computation offloading techniques. Our demo provides a study about the compatibility of being offloaded of Android methods and a methodology to autonomously classify Android methods based on their functions.
Facing the increasing energy demands associated with the perspective of fifth generation (5G) wireless networks, the Mobile Network Operators (MNOs) are motivated to gradually convert their traditional Radio Access Network (RAN) infrastructure to more flexible and power efficient centralized architectures, i.e., Cloud-RAN (C-RAN). Apart from their promising benefits in terms of management and network...
Due to the limited computing resources in mobile devices, it is desirable to offload the computation intensive and time sensitive tasks to the network edge. This paper aims at optimizing the total consumption cost incurred by the usage of the limited computational resources in mobile edge (e.g. small cell, access point, macro base station) while satisfying all the computational demands from each network...
Mobile edge computing is a novel technique in which mobile devices offload computation-intensive tasks with stringent delay requirements to the edge cloud. However, the limited computational resource in the edge cloud may result in the Quality of Service degradation. In this paper, we address this issue by coordinating the heterogeneous cloud which includes the edge cloud and the remote cloud. Considering...
As accessing computing resources from the remote cloud for big data processing inherently incurs high end-to-end (E2E) delay for mobile users, cloudlets, which are deployed at the edge of networks, can potentially mitigate this problem. Although load offloading in cloudlet networks has been proposed, placing the cloudlets to minimize the deployment cost of cloudlet providers and E2E delay of user...
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