• Journal of Intelligence and Information Systems
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• v.15 no.2
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• pp.15-31
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• 2009

The next generation IT environment is expected to be an open computing environment based on Grid computing technologies, which allow users to access to any type of computing resources through networks. The open computing environment has benefits in aspects of resource utilization, collaboration, flexibility and cost reduction. Due to the variation in performance of open computing resources, however, resource allocation simply based on users' budget and time constraints often fails to meet the Service Level Agreement(SLA). This paper proposes the Mean-Absolute Deviation(MAD) portfolio optimization approach, in which service brokers consider the uncertainty of performance of resources, and compose resource portfolios that minimize the uncertainty. In order to investigate the effect of this approach, we simulate an open computing environment with varying uncertainty levels, users' constraints, and brokers' optimization strategies. The simulation result concludes threefolds. First, the MAD portfolio optimization improves the success ratio of delivering the required performance to users. Second, the success ratio depends on the accuracy in predicting the variability of performance. Thirdly, the measured variability can also help service brokers expand their service to cost-critical users by discounting the access cost of open computing resources.

• International Journal of Computer Science & Network Security
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• v.21 no.11
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• pp.345-353
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• 2021

Cloud computing represent a new era of computing that's forms through the combination of service-oriented architecture (SOA), Internet and grid computing with virtualization technology. Virtualization is a concept through which every cloud is enable to provide on-demand services to the users. Most IT service provider adopt cloud based services for their users to meet the high demand of computation, as it is most flexible, reliable and scalable technology. Energy based performance tradeoff become the main challenge in cloud computing, as its acceptance and popularity increases day by day. Cloud data centers required a huge amount of power supply to the virtualization of servers for maintain on- demand high computing. High power demand increase the energy cost of service providers as well as it also harm the environment through the emission of CO₂. An optimization of cloud computing based on energy-performance tradeoff is required to obtain the balance between energy saving and QoS (quality of services) policies of cloud. A study about power usage of resources in cloud data centers based on workload assign to them, says that an idle server consume near about 50% of its peak utilization power [1]. Therefore, more number of underutilized servers in any cloud data center is responsible to reduce the energy performance tradeoff. To handle this issue, a lots of research proposed as energy efficient algorithms for minimize the consumption of energy and also maintain the SLA (service level agreement) at a satisfactory level. VM (virtual machine) consolidation is one such technique that ensured about the balance of energy based SLA. In the scope of this paper, we explore reinforcement with fuzzy logic (RFL) for VM consolidation to achieve energy based SLA. In this proposed RFL based active VM consolidation, the primary objective is to manage physical server (PS) nodes in order to avoid over-utilized and under-utilized, and to optimize the placement of VMs. A dynamic threshold (based on RFL) is proposed for over-utilized PS detection. For over-utilized PS, a VM selection policy based on fuzzy logic is proposed, which selects VM for migration to maintain the balance of SLA. Additionally, it incorporate VM placement policy through categorization of non-overutilized servers as- balanced, under-utilized and critical. CloudSim toolkit is used to simulate the proposed work on real-world work load traces of CoMon Project define by PlanetLab. Simulation results shows that the proposed policies is most energy efficient compared to others in terms of reduction in both electricity usage and SLA violation.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.10
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• pp.1723-1730
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• 2008

The national IT outsourcing is actively achieved centering around the manufacturing enterprise and financial institution. The If outsourcing of the public institution is generalized. The IT development and operation management task are the field in which first an outsourcing is introduced due to a factor including the technological change, the efper increase in demand, and etc. Particularly, the core business of the public institution is the public service. Therefore, the core business of the public institution can concentrate on the core business and by drastically outsourcing the etc task ran improve an efficiency. Therefore, as to the IT outsourcing, the innovative method that can enhance the quality of the public service can become. In this paper, We analyze how the Supply Administration introducing the service level agreement (SLA: Service Level Agreement) and the problem that the Samsung SDS is faced with were solved. And the practical affairs guide-line for managing elements which can minimize trial and error and successfully implement the IT outsourcing is presented.

• KIPS Transactions on Computer and Communication Systems
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• v.7 no.2
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• pp.27-32
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• 2018

One of the crucial issues in mobile edge cloud computing environments is to monitor mobile devices. Due to the inherit properties of mobile devices, they are prone to unstable behavior that leads to failures. In order to satisfy the service level agreement (SLA), the mobile edge cloud administrators should take appropriate measures through a monitoring scheme. In this paper, we propose a monitoring scheme of mobile devices based on artificial intelligence in mobile edge cloud computing environments. The proposed monitoring scheme is able to measure faults of mobile devices based on previous and current monitoring information. To this end, we adapt the hidden markov chain model, one of the artificial intelligence technologies, to monitor mobile devices. We validate our monitoring scheme based on the hidden markov chain model. The proposed monitoring scheme can also be used in general cloud computing environments to monitor virtual machines.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.1B
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• pp.86-100
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• 2004

To provide the end-to-end service differentiation for assured services, the random early demotion and promotion (REDP) marker in the edge router at each domain boundary monitors the aggregate flow of the incoming in-profile packets and demotes in-profile packets or promotes the previously demoted in-profile packets at the aggregate flow level according to the negotiated interdomain service level agreement (SLA). The REDP marker achieves UDP fairness in demoting and promoting packets through random and early marking decisions on packets. But, TCP fairness of the REDP marker is not obvious as for UDP sources. In this paper, to improve TCP fairness of the REDP marker, we propose a modified REDP marker where we combine a dropper, meters and a token filling rate configuration component with the REDP marker. To make packet transmission rates of TCP flows more fair, at the aggregate flow level the combined dropper drops incoming excessive in-profile packets randomly with a constant probability when the token level in the leaky bucket stays in demotion region without incoming demoted in-profile packets. Considering the case where the token level cannot stay in demotion region without the prior demotion, we propose a token filling rate configuration method using traffic meters. By using the token filling rate configuration method, the modified REDP marker newly configures a token filling rate which is less than the negotiated rate determined by interdomain SLA and larger than the current input aggregate in-profile traffic rate. Then, with the newly configured token filling rate, the token level in the modified REDP marker can stay in demotion region pertinently fir the operation of the dropper to improve TCP fairness. We experiment with the modified REDP marker using ns2 simulator fur TCP sources at the general case where the token level cannot stay in demotion region without the prior demotion at the negotiated rate set as the bottleneck link bandwidth. The simulation results demonstrate that through the combined dropper with the newly configured token filling rate, the modified REDP marker also increases both aggregate in-profile throughput and link utilization in addition to TCP fairness improvement compared to the REDP marker.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.9
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• pp.4165-4187
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• 2016

As an emerging technology, cloud computing is a revolution in information technology that attracts significant attention from both public and private sectors. In this paper, we proposed a dynamic approach for live migration to obviate overloaded machines. This approach is applied on OpenStack, which rapidly grows in an open source cloud computing platform. We conducted a cost-aware dynamic live migration for virtual machines (VMs) at an appropriate time to obviate the violation of service level agreement (SLA) before it happens. We conducted a preemptive migration to offload physical machine (PM) before the overload situation depending on the predictive method. We have carried out a distributed model, a predictive method, and a dynamic threshold policy, which are efficient for the scalable environment as cloud computing. Experimental results have indicated that our model succeeded in avoiding the overload at a suitable time. The simulation results from our solution remarked the very efficient reduction of VM migrations and SLA violation, which could help cloud providers to deliver a good quality of service (QoS).

• Journal of Information Technology Services
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• v.4 no.1
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• pp.149-160
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• 2005

Information system outsourcing induces firms to concentrate on the core competence and to improve business value by utilizing specialized information systems outsourcing vendors. However, for those strategic effects, the outsourced information systems should guarantee a certain service level. Now companies are considering to adopt SLA(Service Level Agreement) as a method to check the service level of the outsourced information systems in quantitative terms. On the contrary, customer satisfaction survey supports qualitative analysis, and helps companies to understand the qualitative effects on information system more systematically. Recently, the growing use of the internet makes customer satisfaction survey to be carried out on the web. For that reason, lots of researches related to web survey have been performed. But these researches are just focused on finding out only items to be measured and the effect of web survey. In this paper, based on the service quality research model for information system outsourcing, we formalize and propose a web survey process, a system architecture, and a functional structure for information system outsourcing customer satisfaction survey. Additionally, we provide the implementation results for the web survey systems.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10c
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• pp.100-102
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• 2003

최근 인터넷 사용의 폭발적인 증가와 업무에 있어서 네트웍 의존도가 증가함에 따라 최종 사용자들은 좀 더 신뢰성 있는 네트웍 서비스를 요구하게 되었다. 또한 보편적인 인터넷망은 최선형 서비스 (best­effort service)를 모델로 하기 때문에 종단간(end­to­end) QoS(Quality of Service)를 만족시키지 못하고 있다. 따라서, 네트웍 관리자는 최종 사용자 관점에서 네트웍 성능을 모니터링하여 언제, 어느 구간에서 QoS를 만족시키지 못하는지 파악하기를 원한다. 본 논문에서는 IP 상에서의 전송프로토콜 별 종단간 QoS 측정 방법을 연구하고 네트웍 제공자와 사용자간에 체결한 SLA(Service Level Agreement)를 만족하는지 분석하여 문제 구간 및 노드를 파악할 수 있는 시스템의 구조를 제시한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.04a
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• pp.112-114
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• 2014

클라우드(cloud)를 이용한 응용 실행에서 클라우드 서비스 브로커 (cloud service broker, CSB)는 효과적인 자원 사용 및 서비스 수준 협약(service level agreement, SLA) 보장 등의 장점을 가진다. 따라서 본 논문에서는 CSB 를 통한 응용 실행에서의 가상 머신 (virtual machine, VM) 할당 기법들을 소개하며 BestFit (BF), WorstFit (WF), Modified BestFit (MBF), Modified WorstFit (MWF), Reserved Instance-aware Modified BestFit (M-MBF) 의 평균 VM 사용률을 비교한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2000.04a
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• pp.1084-1088
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• 2000

현재 인터넷에서 QoS(Quality of Service )를 보장하기 위해 다양한 메커니즘이 제안되고 있다. 통신망에서 QoS를 지원하기 위해서는 해당 응용 서비스마다 적절한 자원을 할당하고 자원 사용을 모니터링 및 제어하며, 이례적인 사건이 발생하였을 경우 자원을 재할당할 수 있도록 지원하는 자원관리 기능이 요구된다. 본 논문에서는 차등서비스를 제공하는 인터넷에서 QoS를 제공하기 위해 망자원을 관리 및 제어하는 정책기반 자원관리시스템의 설계 및 구현에 대해 기술한다. 정책기반 자원관리 시스템은 도메인 내의 사용자나 망 관리자로부터 QoS 요구를 받으면 도메인 내의 자원사용량과 자원사용정책에 따라서 내부자원을 할당하고, 이웃도메인과는 QoS가 보장되도록 SLA(Service Level Agreement)를 체결하는 기능을 수행한다. 구현한 정책기반 자원관리시스템은 정책정보를 PIB(Policy Information Base)의 형태로 정책 데이터베이스에 저장하며, 정책서버와 정책 클라이언트 사이에는COPS(Common Open Policy Service)프로토콜을 사용하여 정책 정보를 송수신함을 특징으로 한다.