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Recent quick expansions of mobile heterogeneous embedded systems have led to a remarkable hardware upgrade that support multiple core processors. The energy consumption is becoming greater along with the computation capacity grows. Cloud computing is considered one of the solutions to mitigating energy costs. However, the simply offloading the computations to the remote side cannot efficiently reduce...
Privacy issues have become a considerable issue while the applications of big data are growing dramatically fast in cloud computing. The benefits us implementing these emerging technologies have improved or changed service models and improve application performances in various perspectives. However, the remarkably growing volume of data sizes has also resulted in many challenges in practice. The time...
Implementing cloud computing empowers numerous paths to Web-based computing service offerings for meeting diverse needs. However, cloud data security and privacy information protection have also become a critical issue restraining the cloud applications. One of the major concerns in security is that cloud operators will have a chance to reach sensitive data, which dramatically increases users' anxiety...
As a mobile operating system framework, Android plays a significant role in supporting mobile apps. Using cloud-based approaches have further enabled the implementations of mobile apps. However, current Android application model is not efficient by using current common approaches. In this paper, we proposed a new mobile app model using precache technology to overcome the current existing obstacles...
The broad implementation of cloud computing has brought a dramatic change to multiple industries, which derives from the development of the Internet-related technologies. This trend has enabled global enterprises to apply distributed computing techniques to reach many benefits. An effective risk management approach is required for service deliveries and a capacity planning is considered one of the...
E-commerce using cloud-based trading platforms has become a popular approach with the growth of global development in recent years. However, the existence of counterfeits on the platform has threatened the benefits of all stakeholders. This paper proposes a novel scheme named Anti-Counterfeit Deterministic Prediction Model (ADPM), which is designed for detecting counterfeits by using Monte Carlo Model...
Nowdays, many Video-on-Demand (VoD) providers offer multiple-quality video streaming services to heterogeneous clients, called as multi-version VoD. Some researches focus on video transcoding in real-time or video layered encoding/decoding, but they are not widely used in VoD industry. Storing multiple versions of the same video is an easy solution, but it consumes lots of storage space. Although...
In the era of the Internet-of-Vehicles (IoV), all components in an Intelligent Transportation System (ITS) can be connected to improve the traffic safety and transportation efficiency. In order to maximize the utilization of the resources, e.g., computation, communication and storage resources, the cloud computing technique could be integrated into vehicular networks. Meanwhile, a cloud-assisted vehicular...
In recent years, MapReduce parallel computing model has gained lots of attentions from industry and academia. In Google, Yahoo, Facebook, etc., it has played a very good effect, which greatly simplifies the design of large-scale data-intensive applications. MapReduce-based systems were originally used to manage massive unstructured and semi-structured data, for example: to generate the inverted index,...
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