• ETRI Journal
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• 제34권3호
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• pp.341-351
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• 2012

We deal with a resource allocation problem for multimedia service discrimination in wireless networks. We assume that a service provider allocates network resources to users who can choose and access one of the discriminated services. To express the rational service selection of users, the utility function of users is devised to reflect both service quality and cost. Regarding the utility function of a service provider, total profit and efficiency of resource usage have been considered. The proposed service discrimination framework is composed of two game models. An outer model is a repeated Stackelberg game between a service provider and a user group, while an inner model is a service selection game among users, which is solved by adopting the Kalai-Smorodinsky bargaining solution. Through simulation experiments, we compare the proposed framework with existing resource allocation methods according to user cost sensitivity. The proposed framework performed better than existing frameworks in terms of total profit and fairness.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2012년도 추계학술발표대회
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• pp.239-240
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• 2012

When users access to use the computing resources in the cloud, they expect specific quality of service (QoS) which should be guaranteed by the service provider. Meanwhile, the service provider should adopt proper schemes to enhance the resource utilization. In this thesis, we propose the MapChem-Broker which aims to satisfy users' QoS requirements as well as enhance the resource utilization by controlling the provision of VM resources in the cloud. On the experimental cloud testbed, we compare the proposed scheme with an existing one for VM resource provisioning. Results show that the proposed scheme outperforms the existing one.

• 한국산학기술학회논문지
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• 제16권3호
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• pp.2178-2184
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• 2015

무선 네트워크기술의 발전으로 사용자들은 다양한 네트워크를 쉽게 사용하며 다양한 서비스를 이용할 수 있지만, 서비스 제공자들은 서비스의 질을 개선하고 네트워크 자원을 효율적으로 관리하여야 한다. 본 논문에서는 그레이 관계 분석(GRA)과 게임이론을 결합하여 효율 무선자원관리(RRM) 방안을 제시한다. 첫 번째 단계에서, GRA 방법을 이용하여 네트워크 선호도를 나타내는 GRC를 구하고, 두 번째 단계에서는 내쉬 균형점을 찾아 네트워크 제공자에게 최대 보상을 제공하는 서비스를 선택한다. 한 개의 WiMAX와 2개의 WLAN이 공존하는 이종 무선 환경에서, 4개의 응용서비스중 하나를 요청하는 서비스들을 처리하기 위해 게임은 반복적으로 수행하였다. 시뮬레이션 결과, WiMAX, WLAN 1과 WLAN 2의 게임에서, 각 경기자들은 각각 93, 90.6과 92.8로 최대 보수를 얻는 것을 알 수 있었다. 결과적으로 제안된 시스템은 이종 네트워크에서 사용자 서비스 요청이 있을 때, 네트워크 운용자의 보수를 최대로 할 수 있는 효과적인 자원관리 방법임을 알 수 있었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권5호
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• pp.1973-1991
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• 2018

Multimedia applications over wireless networks have been evolving to augmented reality or virtual reality services. However, a rich data size compared to conventional multimedia services causes bandwidth bottlenecks over wireless networks, which is one of the main reasons why those applications are not used widely. To overcome this limitation, bandwidth aggregation techniques, which exploit a multi-path transmission, have been considered to maximize link utilization. Currently, most of the conventional researches have been focusing on the user end problems to improve the quality of service (QoS) through optimal load distribution. In this paper, we address the joint pricing and load distribution problem for multi-homing in heterogeneous wireless access networks (ANs), considering the interests of both the users and the service providers. Specifically, we consider profit from resource allocation and cost of power consumption expenditure for operation as an utility of each service provider. Here, users decide how much to request the resource and how to split the resource over heterogeneous wireless ANs to minimize their cost while supporting the required QoS. Then, service providers compete with each other by setting the price to maximize their utilities over user reactions. We study the behaviors of users and service providers by analyzing their hierarchical decision-making process as a multileader-, multifollower Stackelberg game. We show that both the user and service provider strategies are closed form solutions. Finally, we discuss how the proposed scheme is well converged to equilibrium points.

• 전기학회논문지
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• 제67권2호
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• pp.165-172
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• 2018

This paper presents a structure of the retail electricity market based on the local pool with LDERP(Local Distributed Energy Resource Provider) for small energy prosumers. LDERP is an operator for the proposed market, which conducts performance measurement and settlement by the distribution plan determined through contract with participants. The trading process is designed similarly to the negawatt market. In the case study, the many-sided conditions of the proposed market are comparatively analyzed with the existing prosumer programs. The results demonstrate the effectiveness of the proposed framework in determining the purpose of market operating for the benefit of participants according to the various situations.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권1호
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• pp.238-256
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• 2016

Modern web services have been broadly deployed on the Internet. Most of these services use multi-tier architecture for flexible scaling and software reusability. However, managing the performance of multi-tier web services under dynamic and unpredictable workload, and different resource demands in each tier is a critical problem for a service provider. When offering quality of service assurance with least resource usage costs, web service providers should adopt self-adaptive resource provisioning in each tier. Recently, a number of rule- and model-based approaches have been designed for dynamic resource management in virtualized data centers. This survey investigates the challenges of resource provisioning and provides a competing assessment on the existing approaches. After the evaluation of their benefits and drawbacks, the new research direction to improve the efficiency of resource management and recommendations are introduced.

• International Journal of Computer Science & Network Security
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• 제22권3호
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• pp.95-100
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• 2022

Cloud computing platform is a shared pool of resources and services with various kind of models delivered to the customers through the Internet. The methods include an on-demand dynamically-scalable form charged using a pay-per-use model. The main problem with this model is the allocation of resource in dynamic. In this paper, we have proposed a mechanism to optimize the resource provisioning task by reducing the job completion time while, minimizing the associated cost. We present the Cooperative Agents Dynamic Resource Allocation and Monitoring in Cloud Computing CADRAM system, which includes more than one agent in order to manage and observe resource provided by the service provider while considering the Clients' quality of service (QoS) requirements as defined in the service-level agreement (SLA). Moreover, CADRAM contains a new Virtual Machine (VM) selection algorithm called the Node Failure Discovery (NFD) algorithm. The performance of the CADRAM system is evaluated using the CloudSim tool. The results illustrated that CADRAM system increases resource utilization and decreases power consumption while avoiding SLA violations.

• 한국시뮬레이션학회:학술대회논문집
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• 한국시뮬레이션학회 2005년도 추계학술대회 및 정기총회
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• pp.65-70
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• 2005

Recently, Grid is embossed as a new issue according to the need of cooperation related to distributed resources, data sharing, Interaction and so on. It focuses on sharing of large scale resources, high-performance, applications of new paradigms, which improved more than established distributed computing. Because of the environmental specificity distributed geographically and dynamic, the most important problem in grid environment is to share and to allocate distributed grid resources. This paper proposes supply-driven strategies model that is applicable for resource management in grid environment and presents a optimal resource allocation algorithm based on resource demands. Supply-driven strategies model can offer efficient resource management by transaction allocation based on user demand and provider strategy. This paper implements the supply-driven strategies model on the DEVS modeling and simulation environment and shows the efficiency and excellency of this model by comparing with established models.

• Journal of Korea Trade
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• 제23권3호
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• pp.38-51
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• 2019

Purpose - An appreciable number of small- and medium-sized exporters have continuously succeeded in their export marketplaces even though they do not possess enough resources. Advocating that affiliation with an export service-provider plays an important role in this phenomenon, we aimed to theoretically explain how export service providers' competences and relational factors drive small- and medium-sized exporters' competitive advantages in the long-run. Design/methodology - Drawing prominently on the resource-based view and the relationship-marketing theory, we built an empirically testable model. The model showed the roles of exporter capabilities, export service-provider competences, and relational factors on small- and medium-sized exporters' sustainable competitive advantages. Findings - The results of our research showed that exporter production and branding capabilities positively influenced their sustainable competitive advantage. In addition, export service-providers' marketing competence and relationship-building competence positively moderated the effects of exporter capabilities on their parties' sustainable competitive advantages. Finally, affiliation parties' interfirm trust and relationship commitment positively moderated the effects of export service-provider competence on the relationship between exporter capabilities and sustainable competitive advantages. Originality/value - Although prior studies have highlighted the effects of an exporter's resources on export performance, our research filled a knowledge gap of the effects of other resources on export performance. First, we proposed two types of export service-provider, competence marketing and relationship-building, influencing exporters' competitive advantage. Second, the effects of relational factors were proposed in the context of export affiliations.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권7호
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• pp.2815-2839
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• 2020

In a cloud computing paradigm, allocation of various virtualized ICT resources is a complex problem due to the presence of heterogeneous application (MapReduce, content delivery and networks web applications) workloads having contentious allocation requirements in terms of ICT resource capacities (resource utilization, execution time, response time, etc.). This task of resource allocation becomes more challenging due to finite available resources and increasing consumer demands. Therefore, many unique models and techniques have been proposed to allocate resources efficiently. However, there is no published research available in this domain that clearly address this research problem and provides research taxonomy for classification of resource allocation techniques including strategic, target resources, optimization, scheduling and power. Hence, the main aim of this paper is to identify open challenges faced by the cloud service provider related to allocation of resource such as servers, storage and networks in cloud computing. More than 70 articles, between year 2007 and 2020, related to resource allocation in cloud computing have been shortlisted through a structured mechanism and are reviewed under clearly defined objectives. Lastly, the evolution of research in resource allocation techniques has also been discussed along with salient future directions in this area.