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### Adaptive resource management scheme for monitoring of CPS

Jeong, Young-Sik, Kim, Hyun-Woo, Jang, Haeng
The Journal of Supercomputing, 2013, Vol.66(1), pp.57-69 [Peer Reviewed Journal]
Springer Science & Business Media B.V.
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Title: Adaptive resource management scheme for monitoring of CPS
Author: Jeong, Young-Sik; Kim, Hyun-Woo; Jang, Haeng
Subject: Cyber physical system ; Resource management ; Controller manager ; Controller node ; Sensor node ; Wireless sensor network
Description: In recent years, various studies based on cyber physical systems (CPS) that integrate networking, computation, and physical processes have been actively carried out in different industries, national defense, and daily living. To physically reflect the theoretical aspect of CPS, consideration of various features is necessary to more easily integrate and effectively manage real-world components and the cyber world. This study suggests an adaptive resource management scheme (ARMS) to reduce the loss of sensing information and increase the level of accurate data obtained in the controller manager (CM) among the CPS components. A CPS-based system consists of a number of nodes (sensors and actuators) used to observe or monitor specific areas. ARMS utilizes data about the location and remaining battery capacity of each node to reduce the loss of information due to the irregular lifespans and unexpected breakdowns of resources in the CPS, and to obtain accurate data. Once a broken sensor in the physical world is sensed in the cyber world, the CM searches the locations of adjacent alternative nodes within a user-defined range based on the location of the broken node. In this process, an adjacent node search (ANS) algorithm is run to decide on a node (senor or actuator) to replace the broken node, taking into account the remaining battery capacity of candidate nodes. ARMS provides the adaptive resource management function of CPS by sending information on the identity (ID) and destination of the selected node to the controller to move the node to the destination and control the move.
Is part of: The Journal of Supercomputing, 2013, Vol.66(1), pp.57-69
Identifier: 0920-8542 (ISSN); 1573-0484 (E-ISSN); 10.1007/s11227-013-0970-3 (DOI)
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### Performance analysis based resource allocation for green cloud computing

Lee, Hwa, Jeong, Young-Sik, Jang, Haeng
The Journal of Supercomputing, 2014, Vol.69(3), pp.1013-1026 [Peer Reviewed Journal]
Springer Science & Business Media B.V.
Available
Title: Performance analysis based resource allocation for green cloud computing
Author: Lee, Hwa; Jeong, Young-Sik; Jang, Haeng
Subject: Resource allocation ; Virtualization ; Performance analysis ; Virtual machine ; Cloud computing
Description: Cloud computing has become a new computing paradigm that has huge potentials in enterprise and business. Green cloud computing is also becoming increasingly important in a world with limited energy resources and an ever-rising demand for more computational power. To maximize utilization and minimize total cost of the cloud computing infrastructure and running applications, resources need to be managed properly and virtual machines shall allocate proper host nodes to perform the computation. In this paper, we propose performance analysis based resource allocation scheme for the efficient allocation of virtual machines on the cloud infrastructure. We experimented the proposed resource allocation algorithm using CloudSim and its performance is compared with two other existing models.
Is part of: The Journal of Supercomputing, 2014, Vol.69(3), pp.1013-1026
Identifier: 0920-8542 (ISSN); 1573-0484 (E-ISSN); 10.1007/s11227-013-1020-x (DOI)
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### Relative weight comparison between virtual key factors of cloud computing with analytic network process

Choi, Cheol-Rim, Jeong, Hwa-Young, Park, Jong, Jang, Haeng, Jeong, Young-Sik
The Journal of Supercomputing, 2016, Vol.72(5), pp.1694-1714 [Peer Reviewed Journal]
Springer Science & Business Media B.V.
Available
Title: Relative weight comparison between virtual key factors of cloud computing with analytic network process
Author: Choi, Cheol-Rim; Jeong, Hwa-Young; Park, Jong; Jang, Haeng; Jeong, Young-Sik
Subject: Cloud computing ; Virtualization ; Quality ; Analytic Network Process ; Relative weight
Description: Drastical increase of a variety of information devices with networks are based on a rapid development and expansion of network infrastructures and technology. Cloud computing is a main technology which makes the information devices lighter and allows users to access their data and applications through a variety of networks. Under the circumstances that the importance and use of cloud computing system is rapidly increasing the virtualization technology becomes one of the key components consisting the cloud computing. Therefore, a quality of a variety of cloud computing systems is affected by the virtualization quality. Many factors which decide the virtualization quality and characteristics have been studied. However, when we apply the cloud computing system to our organization the priorities of the key factors should be decided and according to the priorities resourves must be alloted. In this paper, we suggested a relative weight evaluation process applying Analytic Network Process to analyze the interrelations between the key factors and calculate the relative weights of the factors. Especially, through the demonstration we showed that the interrelations between the factors affect the relative weights at large. With the proposed method we can find hidden priority and allot our resources and efforts more effectively.
Is part of: The Journal of Supercomputing, 2016, Vol.72(5), pp.1694-1714
Identifier: 0920-8542 (ISSN); 1573-0484 (E-ISSN); 10.1007/s11227-014-1311-x (DOI)
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