• International journal of advanced smart convergence
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• v.1 no.2
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• pp.12-15
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• 2012

Energy costs for operating and cooling computing resources in Cloud infrastructure have increased significantly up to the point where they would surpass the hardware purchasing costs. Thus, reducing the energy consumption can save a significant amount of management cost. One of major approach is removing hardware over-provisioning. In this paper, we propose a technique that facilitates power saving through reducing resource over provisioning based on virtualization technology. To this end, we use dynamic workload shaping to reschedule and redistribute job requests considering overall power consumption. In this paper, we present our approach to shape workloads dynamically and distribute them on virtual machines and physical machines through virtualization technology. We generated synthetic workload data and evaluated it in simulating and real implementation. Our simulated results demonstrate our approach outperforms to when not using no workload shaping methodology.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.12
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• pp.4950-4966
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• 2015

Cloud providers now face the problem of estimating the amount of computing resources required to satisfy a future workload. In this paper, a virtual machine provisioning (VMP) mechanism is designed to adapt workload fluctuation. The arrival rate of forthcoming jobs is predicted for acquiring the proper service rate by adopting an exponential smoothing (ES) method. The proper service rate is estimated to guarantee the service level agreement (SLA) constraints by using a diffusion approximation statistical model. The VMP problem is formulated as a facility location problem. Furthermore, it is characterized as the maximization of submodular function subject to the matroid constraints. A greedy-based VMP algorithm is designed to obtain the optimal virtual machine provision pattern. Simulation results illustrate that the proposed mechanism could increase the average profit efficiently without incurring significant quality of service (QoS) violations.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.05a
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• pp.1773-1776
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• 2005

본 논문에서는 운영체제 측면에서 QoS를 보장하기 위해 우선순위 기반의 네트워크 프로토콜 처리 기법을 제안한다. 제안된 기법에서는 우선순위에 따라 네트워크 패킷을 분류하고 프로토콜을 처리한다. 이를 위해 패킷분류기(Packet Classifier)와 프로토콜엔진(Protocol Engine)을 포함하는 QPF(QoS Provisioning Framework)를 설계하고 리눅스 커널 내부에 구현하였다. 과거의 인터럽트 기반의 방식에서는 네트워크 패킷이 선착순(first-in first-out)으로 처리되어 응용 프로그램에서 요구하는 QoS를 보장하기 어려우며, 또한 항상 네트워크 패킷의 처리가 응용 프로그램보다 우선적으로 처리되어 수신교착상태(Receive Livelock) 등의 문제가 발생한다. 본 논문에서 제안하는 QPF는 네트워크 패킷을 우선순위에 따라 처리함은 물론 네트워크 처리에 사용되는 CPU 시간을 조절할 수 있어 위와 같은 문제를 효과적으로 해결할 수 있다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.8
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• pp.2840-2853
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• 2015

A major challenge in network service providers is to provide adequate resources in service level agreements based on forecasts of future demands. In this paper, we address the problem of capacity provisioning in a network subject to demand uncertainty such that a network coded multicast is applied as the data delivery mechanism with limited budget to purchase extra capacity. We address some particular type of uncertainty sets that obtain a tractable constrained capacity provisioning problem. For this reason, we first formulate a mathematical model for the problem under uncertain demand. Then, a robust optimization model is proposed for the problem to optimize the worst-case system performance. The robustness and effectiveness of the developed model are demonstrated by numerical results. The robust solution achieves more than 10% reduction and is better than the deterministic solution in the worst case.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.9
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• pp.4280-4300
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• 2017

The fact that cloud computing services have been proposed in recent years, organizations and individuals face with various challenges and problems such as how to migrate applications and software platforms into cloud or how to ensure security of migrated applications. This study reviews the current challenges and open issues in cloud computing, with the focus on autonomic resource management especially in federated clouds. In addition, this study provides recommendations and research roadmaps for scientific activities, as well as potential improvements in federated cloud computing. This survey study covers results achieved through 190 literatures including books, journal and conference papers, industrial reports, forums, and project reports. A solution is proposed for autonomic resource management in the federated clouds, using machine learning and statistical analysis in order to provide better and efficient resource management.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.24 no.69
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• pp.1-12
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• 2001

In this paper, the consumable concurred spare parts requirement determination problem of newly procured equipment systems is considered. The problem is formulated as the operational availability maximization problem with any given fund limitation. the that the failure of a part follows a Poisson process and part failure rate is constant in spite of the decrease of number of equipments during operational period, an analytical method is developed to obtain spare part requirements using the generalized Lagrange multipliers method, The numerical examples show that analytic solution is mostly equal to the realistic solution obtained from simulation regardless of assumptions about part failure rate. It is expected that the analytical method developed in the paper can be effectively used to make a budget for provisioning the concurrent spare parts of newly procured equipment system.

• Proceedings of the Korea Information Processing Society Conference
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• 2000.10b
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• pp.1613-1616
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• 2000

DiffServ 네트웍 모델은 기존의 Best Effort 서비스를 지원하는 IP 네트웍에 차별화된 서비스를 지원 할 수 있는 IP QoS를 무리없이 도입하기 위하여 제안되었다. DiffServ 네트웍은 IntServ에서와 같은 Scalability 문제를 해소할 수 있도록 Edge-to-Edge QoS를 지원하기 용이한 단순화된 구조를 가지고 있다. 이러한 단순화시킨 네트웍 구조에서 여러 가지 QoS 요구 특성을 가지는 트래픽에게 서비스를 제공하고, 네트웍 자원의 이용 효율을 극대화 하고자 하는 사업자의 요구에 따라 효율적인 자원 할당 방안이 필요하게 된다. 자원 활용의 효율을 제고하기 위해서는 정밀하고 동적인 자원할당 방식을 이용하는 것이 필요하며, 이를 실현하기 위하여 Intra-domain의 Edge-to-Edge Path 상에 있는 노드에서의 트래픽 부하 측정을 바탕으로, DSCP 제어 코드를 사용한 탐색 패킷을 통하여 Intra-domain의 부하 및 자원 할당 수준을 탐색하고, 이를 기반으로 Admission Control을 중심으로 한 Resource Provisioning을 동적으로 수행할 수 있는 메커니즘을 제안한다.

• The Journal of Information Systems
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• v.14 no.3
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• pp.9-16
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• 2005

In this paper, the performance of the WebService architecture for QoS guaranteed connection provisioning in inter-AS domain networks has been measured and analyzed for service publish/inquiry, collection of NMSs ASBR details, source routing by ingress NMS in constraint based routing and connection establishment. From the analysis, it has been found that, the connection between inter-AS domain networks can be established within the usual time limits of 3 seconds by the Web Service architecture. Since no standard solutions have been implemented in Interdomain QoS provisioning, this performance analysis assures Web Service architecture as a promising solution and can be easily implemented in the early stages of MPLS network employment.

• The Journal of Society for e-Business Studies
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• v.20 no.3
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• pp.79-87
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• 2015

With recent emergence of Web 2.0 technology, many services are encouraging the user participation. Then, many approaches dealing with multimedia contents focused on the personalized information provisioning. The proposed approach analyzes the user requirements and previous methodology for personalized information provisioning. Furthermore, we propose the user participation based multimedia services with collaborative tagging.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.8B
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• pp.1159-1169
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• 2010

This paper introduces the mobility-adaptive QoE provisioning solution. The key is placed on the intelligent selection of access network depending on the QoE criteria classified by the user mobility and the bandwidth demand for service. We further focus on the network-based smart handover scheme using the mobility-adaptive handover decision and the enhanced MIH-FMIP framework. The concept is the network-based calm service and the balance in order to facilitate vertical and seamless handover. In result, it is figured out that our solution improves QoE performance by selecting appropriate access network, repressing handover occurrence, and reducing handover delay as well.