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The state-of-the-art cloud computing platforms are facing challenges, such as the high volume of crowdsourced data traffic and highly computational demands, involved in typical deep learning applications. More recently, Edge Computing has been recently proposed as an effective way to reduce the resource consumption. In this paper, we propose an edge learning framework by introducing the concept of...
In this paper, we study the power allocation and power splitting problem for simultaneous wireless information and power transfer (SWIPT) in a multi-user MISO broadcast system, in which there are two types of single-antenna users: traditional users that only receive information and modern users that receive information and energy simultaneously from a multi-antenna base station via power splitting...
Nowadays technology advances of wireless networking and mobile devices have made anytime anywhere data access become readily available. This also enables crowdsourced content capturing and sharing, especially for such multimedia data as video. One example is Twitter's Vine, which mainly target mobile devices, allowing users to create ultra-short video clips and instantly share with their followers...
In this paper, we take a close look to understand the cloud-based file synchronization and collaboration systems. Using the popular Dropbox as a case study, our measurement reveals its cascaded computation and communication operations that are far more complicated than those in conventional file hosting. We show that this serial design is necessary for the cloud deployment, which effectively avoids...
Virtualization has become a building block for modern IT industry, and many datacenters are now highly virtualized. It is known that virtualization also introduces non-trivial overhead, which can cause severe self-interference inside a VM when CPU intensive tasks and bandwidth intensive tasks are co-located. Energy efficiency of the server can be affected as well. While such overhead is well-studied...
Based on the interaction between protons and external magnetic field, the nuclear magnetic resonance (NMR) logging is a kind of logging methods researching the natural content and occurrence of the hydrogen in fluids. The formation porosity, permeability, water saturation and other reservoir parameters can be determined through it. Under the analysis on four-property relations in sand conglomerate...
Distributed interactive applications (DIAs) such as online gaming have attracted a vast number of users over the Internet. It is however known that the deployment of DIA systems comes with peculiar hardware/software requirements on the users' consoles. Recently, such industrial pioneers as Gaikai, Onlive and Ciinow have offered a new based distributed interactive applications generation of cloud (CDIAs),...
Recent years have witnessed the prevalence of MapReduce-based systems, e.g., the Apache Hadoop, in large-scale distributed data processing. Fetching data from remote servers across multiple network switches is known to be costly. Hence, it is highly desirable to co-locate computation with data. State-of-the-art popularity-based replication achieves data locality through replicating popular files and...
This paper proposes an algorithm of data subcarrier designing to apply the tone reservation(TR) peak-to-average power ratio (PAPR) reduction algorithm in OFDM-based wireless communication systems and overcome the high computational cost issue. Different from the existing works, the proposed algorithm focuses on designing data subcarriers, controlling both the iteration times and the number of subcarriers...
Youtube-like video sharing sites (VSSes) have gained increasing popularity in recent years. Meanwhile, Facebook-like online social networks (OSNs), have seen their tremendous success in connecting people of common interests. These two new generation of networked services are now bridged in that many users of OSNs share video contents originating from VSSes with their friends, and it has been shown...
Large amount of data are generated in Global Navigation Satellite System (GNSS) simulation task, and the preservation and transmission of these data are a complex and time-consuming work. The data compression is an appropriate approach to solve the above problem. In this paper, the most mature and widely used lossless compression algorithm-the LZW algorithm is cited. For overcoming higher compression...
Energy efficient broadcasting is of paramount importance for many broadcast applications in wireless ad hoc networks. With respects network coding, it has been proved that the energy gain is upper bounded by 3. However, the coding opportunity is often highly dependent on the established routing paths, resulting in that a lot of coding opportunities could be lost in practice. By combining network coding...
Data collection is of paramount importance in many applications of wireless sensor networks (WSNs). Especially, to accommodate ever increasing demands of signal source coding applications, the capacity of processing multi-user data query is crucial in WSNs where the efficiency is one key consideration. To that end, this paper presents EDCA: an Efficient Data Collection Approach for data query in WSNs,...
Routing is one of the most challenging open problems in pocket-switched-networks (PSN). In this paper, we propose a novel co-route media content forwarding scheme (CRMF), in which new contact opportunities are created for occasionally disconnected mobile users. Our study is inspired by two observations: one is that many people tend to make regular journeys to the same place, so their trajectories...
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