• Proceedings of the Korea Information Processing Society Conference
• /
• 2012.11a
• /
• pp.191-194
• /
• 2012

클라우드 컴퓨팅은 클라우드 서버에서 제공되는 자원을 이용하여 사용자에게 고사양의 컴퓨팅 환경을 제공된다. 클라우드 서비스 환경 구축을 제공하는 유칼립투스에서 사용되는 라운드로빈, 그리디, 파워세이브 등의 가상머신 할당 기법은 자원들을 같은 성능으로 판단하고 사용여부만으로 가상머신을 할당할 노드를 선택하기 때문에 노드의 공정한 사용이 가능하다. 그러나 다른 성능의 자원을 고려하지 않아 자원 사용의 효율성이 결여되었다. 본 논문에서는 가상머신이 최적의 노드에 할당하기 위해 다양한 성능의 노드들을 미리 분석하고 조건에 가장 적합한 노드에 가상머신을 할당하여 사용자에게 제공하는 가상머신 할당 기법을 제안한다. 시스템이 시작되면 노드들의 성능이 분석되어 데이터베이스에 저장되고 이를 바탕으로 가상머신은 노드에 할당된다.

• Journal of the Institute of Electronics Engineers of Korea CI
• /
• v.47 no.1
• /
• pp.171-184
• /
• 2010

In this work, we develop a novel channel power allocation method for the real-time multimedia over the wireless network environment. Since each frame has different effect on the user perceivable QoS, improving packet loss does not necessarily coincide with perceivable improvements in QoS. A new channel power control scheme is suggested based on the quantified importance of each frame in terms of user perceivable QoS. Dynamic programming formulation is used to obtain optimal transmit power which minimizes power consumption and maximizes user perceivable QoS simultaneously. The experiment is performed by using publicly available video clips. The performance is evaluated using network simulator version 2 (NS 2) and decoding engine is embedded at the client node, and calculated PSNR over the every frame transmitted. Through the semantics aware power allocation (SAPA) scheme, significant improvement on the QoS has been verified, which is the result of unequal protection to more important packets. SAPA scheme reduced the loss of I frame by upto 27% and reduced power consumption by upto 19% without degradation on the user perceivable QoS.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.20 no.7
• /
• pp.1255-1261
• /
• 2016

Recently, the energy harvesting technology in which energy is collected from the wireless signal which is transmitted by mobile communication devices, has been considered as a novel way to improve the life time of wireless sensors by mitigating the lack of power supply problem. In this paper, we consider the optimal sensing time and power allocation problem for cognitive radio systems, where the energy efficiency of secondary user is maximized while the constraint are satisfied, using the optimization technique. Based on the derived optimal solutions, we also have proposed an iterative resource allocation algorithm in which the optimal power and sensing time allocation can be found without excessive computations. The simulation results confirm that the proposed scheme achieves the optimal performance and it outperforms the conventional resource allocation schemes in terms of energy efficiency while the constraints are guaranteed to be satisfied.

• Journal of Korea Multimedia Society
• /
• v.3 no.3
• /
• pp.320-332
• /
• 2000

Web consists of the grand virtual system which is made of all connected computers network. We can solve the huge problem which requires high quality in cost performance and powerful computing power to use a numerous idle state system on internet as process it parallel. However, we have to consider heterogeneous computing resources, accessibility, and reliability to carry out parallel system on global environment, not network but whole Internet. In this paper, We the WebImg system which has the power of web computing, and show the flexible task allocation strategy in heterogeneous hosts. Also, we evaluate its performance, moreover the proposed task allocation strategy supplies fault tolerance by controlling host situation at any time.

• Proceedings of the Korean Information Science Society Conference
• /
• 2007.10d
• /
• pp.407-412
• /
• 2007

본 논문에서는 IEEE 802.16 OFDMA 시스템에서 단말들의 에너지 절약을 위한 효율적인 상향 링크 자원 할당 알고리즘을 제시한다. 기지국은 각각의 단말들이 상향링크로 데이터를 전송할 수 있도록 상향링크 부프레임에 연속적인 형태의 자원을 할당해 줘야 한다. 이렇게 각 단말들의 에너지 소비를 고려하여 효율적으로 자원을 할당하는 방식은 최적화 문제의 형태로 접근할 수 있다. 본 논문에서는 전체 에너지소비가 최소가 되는 자원 할당 문제를 Multiple Choice Knapsack 문제로 정의하고, 이를 효율적으로 풀 수 있는 준최적화 알고리즘을 제시한다. 준최적화 알고리즘은 전체 에너지 소비가 최소가 되는 각 단말들의 최적의 변조로 부호화 기법을 찾는다. 그리고 성능평가를 통해 준최적화 알고리즘이 채널 상태만을 고려하여 변조로 부호화 레벨을 결정하는 기법에 비해 최대 53%의 성능 이득을 보이는 것을 제시한다.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.32 no.2B
• /
• pp.83-89
• /
• 2007

In this paper, we have proposed the power detection (PD)-based TDM-PON architecture, which is implemented with a hardware-based decentralized DBA (Dynamic Bandwidth Allocation) algorithm among ONUs, without OLT's intervention. Of particular importance in the proposed approach is that the hardware-based power detection scheme is used to manage the distributed MAC algorithm without any complex, time-consuming and costly software-processing elements for DBA in ONUs and OLT. We evaluate the performance of average packet end-to-end delay in a statistical analysis and numerical analysis. In addition, through simulations with various traffic models, we verified the superior performance of the proposed approach by comparing with the results of other E-PONs.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.39A no.10
• /
• pp.601-609
• /
• 2014

This paper proposes a resource allocation scheme suitable for D2D communications in multi-cell environment. In order to solve the inter-cell interference, the proposed scheme allocates the pre-assigned resource group and shares the information with neighbor cells. This paper also proposes a power control scheme for D2D communication to enhance the cell throughput. By the simulation results, the average SINR of the cellular uplink and D2D communication link are mostly higher than 10 dB when the proposed scheme is applied. On the other hand, with the inter-cell non-coordinated resource allocation scheme, the average SINR of the D2D communication link are decreased by 0 dB. In addition, the proposed scheme can enhance the cell throughput up to 8 % compared with the inter-cell non-coordinated resource allocation scheme.

• Proceedings of the Korean Information Science Society Conference
• /
• 2000.10c
• /
• pp.502-504
• /
• 2000

최근 높은 컴퓨팅 파워를 요구하는 응용문제 처리를 위해 고 비용의 슈퍼컴퓨터 대신 인터넷상에 분산된 다수의 일반 컴퓨터들을 이용하는 병렬처리에 관한 연구가 진행되고 있다. 본 연구에서는 다중 에이전트 시스템을 기반으로 하여 이질적인 성능을 갖는 컴퓨터들을 병렬 컴퓨팅 환경으로 구성하고 각 호스트의 성능측정 결과에 따라 효율적으로 작업을 분산하는 기법을 제안한다. 또한 본 연구에서 제안한 방법을 다중 에이전트 시스템인 IBM의 AgletsTM을 사용하여 실험적으로 성능을 평가하고, 기존 연구와 비교한다.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.20 no.3
• /
• pp.506-512
• /
• 2016

Recently, energy harvesting technology is considered as a tool to improve the lifetime of sensor networks by mitigating the battery capacity limitation problem. However, the previous work on energy harvesting has failed to provide practical information since it has assumed an ideal channel knowledge model with perfect channel state information at transmitter (CSIT). This paper proposes an energy efficient resource allocation scheme that takes account of the channel estimation process and the corresponding estimation error. Based on the optimization tools, we provide information on efficient scheduling and power allocation as the functions of channel estimation accuracy, harvested energy, and data rate. The simulation results confirm that the proposed scheme outperforms the conventional energy harvesting networks without considering channel estimation error in terms of energy efficiency. Furthermore, with taking account of channel estimation error, the results provides a new way for allocating resources and scheduling devices.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.33 no.4A
• /
• pp.450-457
• /
• 2008

One of very essential techniques for enlarging lifetime of energy-constrained wireless personal area network (WPAN) devices is energy-efficient transmission technique. If the WPAN is operated based on a TDMA protocol, the satisfaction of QoS requirements at each allocated time slot is another important factor to be considered. We therefore propose an energy-efficient transmission scheme for WPANs operating with a contention-free medium access protocol such as TDMA, as well as satisfying QoS requirement. The proposed algorithm determines the optimum combination of transmit power, physical data rate and fragment size required to simultaneously minimize the energy consumption and satisfy the required QoS in each assigned time duration, considering all the possible energy-minimization related parameters. The proposed algorithm demonstrated the improved performance results in terms of throughput and energy consumption via computer simulation.