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With the number of Phasor Measurement Units (PMUs) in the North American power grid scaling up into the thousands, system operators are gradually inclining towards distributed cyber-physical architectures for executing wide-area monitoring and control operations using Synchrophasors. Traditional centralized approaches, in fact, are anticipated to become untenable soon due to various factors such as...
Undoubtedly, Cloud computing is the ongoing trend that robbed the widespread concern. In fact, it succeeded in discharging users from computational and storage burden to offer them as services following pay-as-you-go principle. The substantial feature of Cloud is the ability to scale up with the rise of users' demands. However, Cloud performance falls into the duty of scaling up to fulfill the user...
Considering the technical advances and economicadvantages of integrated architectures and cloud computing we conjecture that the realization of a real-time cloud, called a fog that provides reliable electronic services with temporalguarantees on board a vehicle efficiently and flexibly will be thelogical next step in the development of an automotive electronic architecture. In this paper we introduce...
The research progress of data acquisition technology and large data processing model has an important contribution to the development of urban traffic data. The control of urban transportation depends on the effective processing of real-time traffic observation data, which is usually the nature of data intensive. We study a large number of floating car data processing (FCD) traffic control in the...
Processing streaming big data becomes critical as new diver Internet of Thing applications begin to emerge. The existing cloud pricing strategy is unfriendly for processing streaming big data with varying loads. Multiple cloud environments are a potential solution with an efficient pay-on-demand pricing strategy for processing streaming big data. In this paper, we propose an intermediary framework...
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...
With the recent emergence and popularity of e-business, and the increasing complications of our modern day IT infrastructure, companies have been minimizing their IT infrastructure and making much more investments into cost and personnel in order to ensure ongoing and stable services. This is being done to cope with our modern day rapidly changing business environment. However, in spite of much effort...
In this paper, the state-of-the-art of big data is reviewed. Challenges, opportunities and tools will be discussed. Some emerging technologies will be looked to promote big data applications. The applications of big data in smart grid in some countries will be summarized too.
The serious geological hazards occurred frequently in the last few years, which have caused heavy casualties and severe economic losses. It is necessary to design a geological information service system to analyze and evaluate geological hazards. With the development of computer and Internet service model, it is now possible to obtain rich data and process the data with some advanced computing techniques...
As we come to terms with various big data challenges, one vital issue remains largely untouched. That is service level agreement (SLA) management to deliver strong Quality of Service (QoS) guarantees for big data analytics applications (BDAA) sharing the same underlying infrastructure, for example, a public cloud platform. Although SLA and QoS are not new concepts as they originated much before the...
The Internet of Things (IoT) has shown its promising future recently. Cloud computing can provide the infrastructure for storing and handling the potentially enormous volume of data generated therein. Consequently, the availability and reliability of cloud data will largely affect the success of IoT. Hadoop is a very popular platform adopted in the community of cloud computing. The Hadoop Distributed...
To address the current need of innovative technologies that blend rapid data processing capabilities of computers with intuitive decision making skills of humans, we have developed a prototype of Cloud Enabled Brain Computer Interface (CEB) decision making technologies. The implemented architecture integrates cloud enabled big data analytics capabilities, networked BCI (Brain Computer Interface) devices,...
Intrusion detection technology has developed over more than 30 years from the host-based to network-based and has become the indispensable security technology of information systems. On the basis of the study of the existing intrusion detection systems, this paper reviews the history of intrusion detection technology, and sum up the recent hot-spot problems researched. Then, six technical difficulties...
Broidery CAD software has been widely used in the sewing pattern design by the broidery industry. All the Broidery CAD software is installed onto the computer of the swing machine company that offers the designing tool solely for the sewing pattern designer. The users of the swing machine are rejected by using the pattern design software due to no connection between the sewing machine and the computer...
The TPB (trusted platform board) is an expansion of the TPM (trust platform module) chip for the elevation of the efficiency and usability of the TPM chip that has been developed from the TCG (trusted computing group) for the trust computing. In addition to the TPB function supporting environments for the high-standard trust within the hardware standard of the system, the present paper develops the...
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