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This work develops a cloud-fog computing architecture for information-centric Internet-of-Things (IoT) applications with job classification and resource scheduling functions. The two designed functions support quality of service (QoS) by classifying IoT applications and scheduling computing resources. An innovative scheduling mechanism is developed to optimize the dispatch of cloud and fog resources...
In this paper, a joint control method for the user association and almost blank sub-frame (ABSF) based interference coordination (IC) technique in heterogeneous cellular networks is proposed. The optimization objective is simultaneously improving system throughput and guaranteeing proportionally fairness. Usually, user and base station (UE-BS) association is performed before ABSF rate determination,...
Deep learning is well known as a method to extract hierarchical representations of data. In this paper a novel unsupervised deep learning based methodology, named Local Binary Pattern Network (LBPNet), is proposed to efficiently extract and compare high-level over-complete features in multilayer hierarchy. The LBPNet retains the same topology of Convolutional Neural Network (CNN) — one of the most...
Following recent advances in sensing and wireless technologies, Internet-of-Things (IoT) applications are being exploited in various fields. The scale of IoT systems and the number of devices that they include has become huge, and the construction of IoT applications is, therefore, becoming increasingly challenging. This work proposes a script framework as a convenient development interface for service-oriented...
Recently cloud computing technology has gained its popularity on research and development for petroleum explorations. The advances of cloud computing offer flexibility of computing power and storage capacity, provides beneficial technology for this application domain. For instance, the cloud computing technology can effectively reduce the complexity of information collection and control time in the...
The evolution of information technology and the explosive growth in Internet data have rendered traditional ways of providing information services and their infrastructure no longer appropriates. Data storage, computing and Internet services are moving toward virtualization and cloud computing. However, the performance of this network architecture needs to be examined to improve network bandwidth...
As a cloud data center may be located over many regions and the network environment within a cloud data center may differ from traditional ones, how Virtual Machines (VMs) are deployed will influence service performance. This study, based on the Eucalyptus cloud computing and Software-Defined Networking platform, proposes a load balancing scheduling mechanism that works on the current network status...
In this paper, we disclosure a cost-efficiency FFT via hardware-reduction and dynamic current scaling (DCS) schemes in a low-power OFDM modem. These reductions are realized by the pipelined data path modifying and the hardware sharing at two stages. For low power, the operating current is scalable to reduce power consumption, namely DCS. All our works are synthesized and simulated by the TSMC 65nm...
With the rapid development of electric power information technology, has been expanding its business system, the investment cost is rising, at the same time, due to the busy business application widespread idle cycles, lead to equipment use efficiency is not high. Virtualization technology can effectively improve equipment load rate, saving the cost of investment and data center energy consumption...
In human's daily life, more and more objects are connected with Internet. The objects can delivery sensed data and information through digital communication. The emerging Internet of Things usage also brings many applications. When the number of network connected devices increase, the volume of information and data is getting huge with time. Cloud technology supports to process large scale data and...
This study proposes a Software-Defined Networking (SDN) architecture to help cloud customers receive highly efficient services in a heterogeneous cloud serving system. An application called SDNBroker is designed herein and superposed on the SDN controller by Northbound Application Programmatic Interfaces (Northbound API). When a cloud customer requests a service, the proposed SDNBroker schedules heterogeneous...
Following the publication of the article “Graph Minor Approach for Application Mapping on CGRAs” [1] in the proceedings of the International Conference on Field Programmable Technology (ICFPT) 2012, we received correspondence [2] pointing to some inaccuracies in the article. With this correction, we would like to clarify some points that could otherwise be misconstrued.
We introduce a model for secure managing virtual infrastructure in IaaS Cloud which called Trusted Private Virtual Data center (TVPDc). It can offer centralized management of the computing and storage resources distributed in different locations and physical machines within an IaaS cloud. Additionally, we propose a hierarchical management framework and a TVPDc establishment and deployment protocol...
One of the most important benefits of virtualization is Virtual Machine (VM) migration. While the performance of live VM migration is well explored, the security aspects have received very little attention. The extension of trusted computing to virtual systems using vTPMs allows applications in the VM to use the vTPM for secure storage and reporting platform integrity. In this paper, we propose an...
A novel IP Multimedia Subsystem (IMS) framework with cloud computing architecture is proposed for use in high-quality multimedia applications. The IMS supports heterogeneous networking with Quality-of-Service (QoS) policy. MapReduce analysis is also used to enhance cloud computing capability. This architecture enables users to access high-quality multimedia applications via Android-based appliances...
With the development of Internet and Service/Cloud computing, more and more underlying web services are horizontally distributed on geographically distance servers connected with Internet. Inspired by MapReduce, we design a system architecture and Preprune-Refine framework in this paper to handle these distributed web services. Extensive experiments show that our Preprune-Refine framework performs...
Multiprocessor System-on-Chip (MPSoC) platforms have become increasingly popular for high-performance embedded applications. Each processing element (PE) on such platforms can be tuned to match the computational demands of the tasks executing on it, creating a heterogeneous multiprocessor system. Extensible processor cores, where the base instruction-set architecture can be augmented with application-specific...
With the development of Service and Cloud Computing, more and more web services with similar function attributes but different QoS are available. Efficient selecting from these large numbers of web services brings challenges to the existing methods. Furthermore, service selection has been always a tedious process. In this paper, toward these issues, we make use of skyline with MapReduce to select...
This paper presents the systematic methodology of error correction scheme using low-density parity check (LDPC) codes to improve the reliability and endurance of multi-level cell (MLC) non-volatile memories. Using our realistic error model, the LDPC architecture with the scheme of non-uniform reference voltages (NURV) is proposed to trade off among error correction capability, area, and throughput,...
This article proposed a nonparametric test method by using Gaussian mixture model application idea for reference to evaluating the construction of index architecture. First use Gaussian mixture model to cluster analysis the index architecture. Second use rank correlation coefficient of nonparametric test method to select index architecture. Then determined the evaluate index architecture and guarantee...
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