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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...
Following the explosion of Internet-enabled mobile devices and mobile services, users tend to expect network connectivity everywhere they go and at any time. In anticipation of these higher connectivity expectations and requirements especially for vehicular communication, several technologies like WiMAX, cellular networks (i.e., 3G/4G) and wireless mesh networks have been developed. While cellular...
Video traffic constitutes the majority of traffic in bytes that mobile and fixed line operators deliver to their customer. This type of traffic is both resource consuming and QoE sensitive. A third characteristics is that user abandon, in a lot of cases, viewing prematurely. Several strategies have been devised to account for all those dimensions. Dominant approaches are fast-caching where the server...
The insufficiency of battery lifetime has become the biggest limited of mobile smart-terminal, offloading of mobile computing is a potential effective method to extend the battery lifetime of mobile smart-terminal by executing some computation of applications in remote servers. However, the delay of transmission and the wireless transmission conditions are the main constraints of mobile offloading...
Due to exponential requests of users for accessing Internet wireless services, longer delays can incur in full filling requests. So optimizations for delay is required. One such method is using cache and storing frequently accessed pages in local cache. Consistency in cache and server data becomes a major issue. As if cache is not valid then whole optimization will be lost. Many researches have strong...
We consider a mobile cloud computing scenario consisting of one user with multiple independent tasks, one computing access point (CAP), and one remote cloud server. The CAP can either process the received tasks from the mobile user or offload them to the cloud, providing additional computation capability over traditional mobile cloud computing systems. We aim to optimize the offloading decision of...
This paper considers the design of cross-layer opportunistic transport for stored video over wireless networks with a slow varying (average) capacity. We focus on two key ideas: (1) scheduling data transmissions when capacity is high; and (2), exploiting knowledge of future capacity variations. The latter is possible when users' mobility is known or predictable, e.g., users riding on public transportation...
We consider a dynamic vehicle routing problem in wireless networks where messages arriving randomly in time and space are collected by a mobile receiver (vehicle or a collector). The collector is responsible for receiving these messages via wireless communication by dynamically adjusting its position in the network. Our goal is to utilize a combination of wireless transmission and controlled mobility...
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