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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...
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...
Mobile cloud computing is now emerging as a promising way to enlarge the capabilities of mobile devices by computation offloading. One of the critical challenges faced by the mobile cloud providers today is how to increase the profitability of their cloud services. In this paper, we deal with the problem of scheduling parallelizable computation jobs offloaded by mobile users in public cloud to maximize...
Mobile Cloud Computing allows offloading compute-intensive applications execution from resource-constrained mobile devices to more powerful computing resources, i.e., distant cloud servers or cloudlets. This is a challenging issue due to the situations that mobile users may face in such context such as the inconstancy of wireless networks, mobility, server load or battery drain. Most cloudlet-based...
Edge cloud computing moves cloud services to the edge of the network, thereby allowing clients to access services with a significantly reduced network delay. This service migration is intended to enable a range of latency sensitive mobile applications. In this paper, we propose to manage user QoS by actively migrating services to different edge clouds in response to degraded server or network performance...
Today's vehicles are sensor-rich but computation-poor. To better assist drivers, current vehicles have a large number of diverse sensors, for instance, the 2017 Ford GT has over 50 built-in cameras and sensors that can determine speed, location, humidity, occupancy, mechanical positioning, and a wealth of other data. However, modern vehicles have little general-purpose computing capacity due to cost,...
Mobile devices have become an important part of our life. Service disruptions can occur because of limited resources of mobile devices such as computation, storage and battery. In this context, mobile cloud computing enables mobile devices to offload their computation and storage to the cloud and get the final result from cloud servers. There are some parameters like bandwidth, delay, jitter and user...
Mobile-Edge Computing (MEC) is about offering application developers and service providers cloud-computing capabilities and an IT service environment at the edge of the mobile network. However, although cloud computing can be used to meet traditional challenges, like scalability concerns and provide for fast resource provisioning times, a multifaceted analysis is required when it comes in multi-operator...
Computational offloading can improve the energy efficiency of mobile devices, by executing some tasks of a mobile application in the cloud. In this paper, a new algorithm called 'Dynamic Programming with Randomization' (DPR) is presented. The DPR algorithm iteratively improves an offloading decision vector, by generating random bit strings with a biased probability of generating 0s, which represent...
Offloading application to cloud can augment mobile devices' computation capabilities for emerging resource-hungry mobile applications, however it can consume both much time and energy for mobile devices offloading application remotely to cloud. In this paper, we develop a newly adaptive application offloading decision-transmission scheduling scheme which can solve the above problem efficiently. Specifically,...
Taking full advantages of two cloud-based techniques, i.e., cloud radio access network (C-RAN) and mobile cloud computing (MCC), mobile operators will be able to provide the good service to the mobile user as well as increasing their revenue. This paper aims to minimize the mobile operator's cost while at the same time, meet the task time constraints of the mobile users. In particular, we assume that...
With the abundant on-board resources in smart vehicles, they have been considered major candidates for providing ubiquitous services. Processing and storage resources provided through on-board units along with a variety of sensing and communication capabilities can turn smart vehicles into potential computing engines that can be pooled to serve as powerful vehicular clouds (VCs). Computing tasks can...
Recently, the growth of mobile devices has brought great attention to the development of mobile apps. On the other hand, cloud hosting services provide an appropriate platform for mobile app developers so as to lower the cost of hardware maintenance and management. Note that most of current mobile apps are developed with a single cloud hosting, resulting in a higher probability of service congestion...
Mobile business is now becoming into reality with the ubiquitous Internet connectivity, the powerful of mobile devices and the vast amount of available cloud services. However, the characteristics of mobile environment such as mobility, unpredictability and variation of the signal-strength of mobile network bring great challenges for the selection of optimal services for orchestration. Traditional...
By taking into consideration network features of a wireless mesh network environment where mobile cloud computing (MCC) system is deployed, this paper proposes an effective virtual machine (VM) placement algorithm. This algorithm tends to place a newly created VM for a cloud service to a cloud server, which itself is also a mobile device, that occurs lowest network delay when accessing to application...
Applications running on mobile devices bring users new and convenient experience. However, energy limitations on mobile platforms will reduce the performance and sustainability. Code offloading mechanisms partition application codes and offload partial workloads to remote servers for energy savings. However, code offloading effect tends to be challenged by network transmissions as desired responsiveness...
Mobile cloud computing can provide many advantages to mobile users. Storage and computing capabilities of mobile devices can be extended by utilizing cloud resources. Cloud computing can also prolong battery life of mobile devices. Web-based application delivery is one way of providing cloud services. This paper describes a Web application framework for customizable mobile cloud services. The framework...
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