An Analytical Framework of a Deployment Strategy for Cloud Computing Services: A Case Study of Academic Websites

Chen, Chi‐Hua; Lin, Hui; Chang, Hsu Chia; Ho, Ping Hsien; Lo, Chun-Chih

doi:10.1155/2013/384305

Cited by 5 publications

(5 citation statements)

References 13 publications

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“…The circle points denote the PDF of practical data distribution (Real), and the rectangle points denote the PDF of exponential distribution (Exp). Because the test results are χ 2 = 3.24 < χ 2 n−1=19 = 30.149 when ∝= 0.05 [31], no significant difference was observed; this implies that it follows an exponential distribution. In terms of arranging the training data and test data, a k-fold cross-validation method was used [26].…”

Section: The Experiments Executionmentioning

confidence: 90%

A Two-Step Approach for Classifying Music Genre on the Strength of AHP Weighted Musical Features

Chen

et al. 2018

Mathematics

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Music is a series of harmonious sounds well arranged by musical elements including rhythm, melody, and harmony (RMH). Since music digitalization has resulted in a wide variety of new musical applications used in daily life, the use of music genre classification (MGC), especially MGC automation, is increasingly playing a key role in the development of novel musical services. However, achieving satisfactory performance of MGC automation is a practical challenge. This paper proposes a two-step approach for music genre classification (called TSMGC) on the strength of analytic hierarchy process (AHP) weighted musical features. Compared with other MGC approaches, the TSMGC has three strong points for better performance: (1) various musical features extracted from the RMH and the calculated entropy are comprehensively considered, (2) the weight of features and their impact values determined by AHP are applied on the basis of the Exponential Distribution function, (3) music can be accurately categorized into a main-class and further sub-classes through a two-step classification process. According to the conducted experiment, the result exhibits an accuracy rate of 87%, which demonstrates the potential for the proposed TSMGC method to meet the emerging needs of MGC automation.

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Section: The Experiments Executionmentioning

confidence: 90%

A Two-Step Approach for Classifying Music Genre on the Strength of AHP Weighted Musical Features

Chen

et al. 2018

Mathematics

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“…Cloud system is about storing the objects on remote workstations instead of on individual machines or other devices [2]. This information is able to be retrieved using the web on any device, awfully where in the world as long as that device is able to hold up cloud system systems [3]. The cloud system is comprised of a front-end, that is the customer side and a back-end that is a set of the workstations and machines owned by an agent to store the data [4].…”

Section: Introductionmentioning

confidence: 99%

Load Balancing of Unbalanced Matrix Problem of Maximum Machines with Min Min Algorithm

Mondal*¹,

Ray²,

Nandi³

et al. 2019

IJRTE

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Most eminent computing technology related to the cloud is an exclusively web-based approach where resources are hosted on a cloud; it prospers the resources. Cloud computing is the most promising technologies that offer a standard for bulky sized computing. That is a structure for enabling applications to execution on virtualized resources and accessed by a network protocol. It provides resource and services in a very elastic behavior that can be scaled according to the required of the clients. Limited numbers of devices execute less number of tasks at that time. So it is more complex to perform each task at once. Several devices execute each task, so it has required balancing total loads that reduce the completion time and executes each task in a definite way. We have said earlier that there are not feasible to stay behind an equal server to execute similar tasks. The tasks that are to be executed by machine in the cloud system must be less than the united VM for a time. Overloaded servers have to perform a less number of jobs. Here in our approach, we want to show a scheduling algorithm for balancing of loads and presentation with minimum execution time and makespan.

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“…For sensor and networking layers, the rise of mobile technology advancements [12][13][14][15] (e.g., wireless sensor networking, Wi-Fi, Bluetooth, smart mobile device, and Long Term Evolution (LTE)) has led to a new wave of machine-to-machine (M2M), machine-to-human (M2H), human-to-human (H2H), and human-to-machine (H2M) communications [16][17][18][19][20]. For the application layer, several IoT applications, which include energy [21,22], enterprise [23,24], healthcare [25,26], public services [27,28], residency [29,30], retail [31,32], and transportation [33,34], have been designed and implemented to detect environmental changes and send instant updates to a cloud computing server farm via mobile communications and middleware for big geo-data analyzes [35,36]. For instance, on-board units in cars can instantly detect and share information about the geolocation of the car, speed, following distance, and gaps with other neighboring cars [37][38][39][40].…”

Section: Introductionmentioning

confidence: 99%

Applications of Internet of Things

Chen

2018

IJGI

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This editorial introduces the special issue entitled “Applications of Internet of Things”, of ISPRS International Journal of Geo-Information. Topics covered in this issue include three main parts: (I) intelligent transportation systems (ITS), (II) location-based services (LBS), and (III) sensing techniques and applications. Three papers on ITS are as follows: (1) “Vehicle positioning and speed estimation based on cellular network signals for urban roads,” by Lai and Kuo; (2) “A method for traffic congestion clustering judgment based on grey relational analysis,” by Zhang et al.; and (3) “Smartphone-based pedestrian’s avoidance behavior recognition towards opportunistic road anomaly detection,” by Ishikawa and Fujinami. Three papers on LBS are as follows: (1) “A high-efficiency method of mobile positioning based on commercial vehicle operation data,” by Chen et al.; (2) “Efficient location privacy-preserving k-anonymity method based on the credible chain,” by Wang et al.; and (3) “Proximity-based asynchronous messaging platform for location-based Internet of things service,” by gon Jo et al. Two papers on sensing techniques and applications are as follows: (1) “Detection of electronic anklet wearers’ groupings throughout telematics monitoring,” by Machado et al.; and (2) “Camera coverage estimation based on multistage grid subdivision,” by Wang et al.

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An Analytical Framework of a Deployment Strategy for Cloud Computing Services: A Case Study of Academic Websites

Cited by 5 publications

References 13 publications

A Two-Step Approach for Classifying Music Genre on the Strength of AHP Weighted Musical Features

A Two-Step Approach for Classifying Music Genre on the Strength of AHP Weighted Musical Features

Load Balancing of Unbalanced Matrix Problem of Maximum Machines with Min Min Algorithm

Applications of Internet of Things

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