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Efficient Virtual Machine Resource Management for Media Cloud Computing
( Mohammad Mehedi Hassan ),( Biao Song ),( Ahmad Almogren ),( M. Shamim Hossain ),( Atif Alamri ),( Mohammed Alnuem ),( Muhammad Mostafa Monowar ),( M. Anwar Hossain ) 한국인터넷정보학회 2014 KSII Transactions on Internet and Information Syst Vol.8 No.5
Virtual Machine (VM) resource management is crucial to satisfy the Quality of Service (QoS) demands of various multimedia services in a media cloud platform. To this end, this paper presents a VM resource allocation model that dynamically and optimally utilizes VM resources to satisfy QoS requirements of media-rich cloud services or applications. It additionally maintains high system utilization by avoiding the over-provisioning of VM resources to services or applications. The objective is to 1) minimize the number of physical machines for cost reduction and energy saving; 2) control the processing delay of media services to improve response time; and 3) achieve load balancing or overall utilization of physical resources. The proposed VM allocation is mapped into the multidimensional bin-packing problem, which is NP-complete. To solve this problem, we have designed a Mixed Integer Linear Programming (MILP) model, as well as heuristics for quantitatively optimizing the VM allocation. The simulation results show that our scheme outperforms the existing VM allocation schemes in a media cloud environment, in terms of cost reduction, response time reduction and QoS guarantee.
Mohammad Mehedy Hassan,전철민 서울시립대학교 도시과학연구원 2011 도시과학국제저널 Vol.15 No.3
Since cities continue to suffer from traffic congestion, high growth population,increased pressure of upgrading infrastructure and deterioration in environmental quality; many metropolitan organizations have switched their focus on growth modeling at micro level in order to estimate patterns, evolution and behavior of major elements involved in urban processes. The aim of this study is to employ the UrbanSim microsimulation land use model for Seoul city. This study attempts to simulate a set of UrbanSim land use models based on developed a dataset from Yongsan-Gu. The employed method includes microscale simulation of land prices, household and employment growth in Yongsan-Gu. In addition, by using the statistical model, various factors regarding location, neighborhood, built environment, economics, and demographics are analyzed in order to assess spatial variation of residential and non-residential location patterns. The input data preparation, model estimation, and strategy that were employed within the microsimulation model on different land use characteristics are described in this working paper.
Influence of Cr incorporation on structural, dielectric and optical properties of ZnO nanoparticles
M. Mehedi Hassan,Wasi Khan,Ameer Azam,A. H. Naqvi 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.21 No.1
This study demonstrated the effect of Cr doping on structural, dielectric and optical behavior of ZnOnanoparticles synthesized through sol–gel method. Characteristic investigations have been carried outby X-ray diffraction, Field emission scanning electron microscope, Energy dispersive X-ray spectrometry,and Transmission electron microscope. The results confirmed the formation of nanoparticles inpolycrystalline single phase with hexagonal wurtzite structure. The crystallite size has been found tovary around 20 nm. Dielectric studies were carried out by Impedance spectroscopy. The decrease effectof dielectric parameters with increase in dopant has been explained on the basis of Maxwell–Wagnermodel and Koops phenomenological theory. The impedance analysis suggested that the contribution ofgrain boundaries is dominating over grain contribution. A red shift in UV–vis spectra signified that bandgap can be tuned by Cr doping from 3.32 to 3.22 eV because of the s–d and p–d exchange interactions.
모바일 헬스케어를 위한 그리드 기반의 컨텍스트 추천 시스템
( Mohammad Mehedi Hassan ),한승민,허의남 한국정보처리학회 2008 한국정보처리학회 학술대회논문집 Vol.15 No.1
This paper describes a Grid-based context-aware doctor recommender system which recommends appropriate doctors for a patient or user at the right time in the right place. The core of the system is a recommendation mechanism that analyzes a user’s demographic profile, user’s current context information (i.e., location, time, and weather), and user’s position so that doctor information can be ranked according to the match with the preferences of a user. The performance of our architecture is evaluated compare to centralized recommender system.
A Review of the Development and Application of UrbanSim Integrated Land-Use and Transportation Model
Mohammad Mehedy Hassan,주용진,전철민 서울시립대학교 도시과학연구원 2010 도시과학국제저널 Vol.14 No.3
To analysis and mitigate the accelerated growth of urban complexity, dynamic urban growth simulation modeling techniques have long been considered by planner and related stakeholder. However, most of the existing techniques to study dynamic urban growth have lack of accuracy at the level of household or land parcel and majority of them remain highly aggregate despite the use of disaggregate calibration methods and essentially static in nature. It is with this in mind, to anticipate the future changes of Seoul Metropolitan Area,dynamic micro simulation model “UrbanSim” has undertaken into consideration on Korean perspective since it is operational and have been implemented and used for policy analyses. This paper provides an overview of UrbanSim model conception, its development, a list of application to date, as well as our experiment through Yongsan-Gu in Korea.
Supply Voltage Decision Methodology to Minimize SRAM Standby Power Under Radiation Environment
Galib, Md Mehedi Hassan,Ik Joon Chang,Jinsang Kim IEEE 2015 IEEE transactions on nuclear science Vol.62 No.3
<P>In static random access memory, standby power is the summation of scrubbing and leakage powers. In terrestrial environments, the leakage power is more dominant than the scrubbing power. Hence, the conventional methodology to reduce SRAM standby power is to lower V<SUB>DD</SUB> to possible minimum voltage under process, voltage, and temperature variations. However, under severe radiation environments such as space, high scrubbing rate is indispensable to prevent the accumulation of soft-errors, making the scrubbing power have a substantial portion of total standby power. Since the soft-error rate becomes higher with the VDD scaling, the conventional methodology may not be valid under radiation environments. We present a methodology to decide optimal supply voltage with respect to standby power under radiation. We visualize our methodology under solar max/min galactic cosmic ray radiation environment of geosynchronous earth orbit and three error correction code (ECC) scenarios: Hamming code, double-error-correction (DEC) Bose-Chaudhuri-Hocquenghem (BCH) code, and triple-error-correction (TEC) BCH code. In 65 nm CMOS, Hamming code fails to deliver our target decoded bit-error-rate. Under other ECCs, the proposed methodology shows that 0.97 V (for DEC BCH) and 0.8 V (for TEC BCH) are optimal. Here, we can obtain 30% (for DEC BCH) and 60% (for TEC BCH) standby power savings compared to nominal voltage (= 1.2 V), respectively.</P>
게임 이론 기반 동적 협력 클라우드 서비스 플랫폼에서의 클라우드 공급자간 협상 기법
모하마드메헤디하산 ( Mohammad Mehedi Hassan ),허의남 ( Eui-nam Huh ) 한국인터넷정보학회 2010 인터넷정보학회논문지 Vol.11 No.5
최근 다양한 분야에서 클라우드 컴퓨팅의 사용이 증가하고클라우드 컴퓨팅의 이상적 가치 실현을 위한 클라우드 공급자간의 동적협력은 필수적인 요소가 되고 있다. 이전의 연구를 통해서 다른 클라우드 공급자 간의 동적 협력 플랫폼으로 경매결합방식 기반의 클라우드 마켓 모델 "CACM"을 제안한 바 있다. CACM모델은 경매에 참여하기 전에 미리 최적화된 클라우드 공급자들간 그룹을 형성하여 동적 협력을 제공할 수 있도록 하고 있으며, 이에 따라 공급자 간 협상시 발생할 수 있는 문제들을 최소화 하고자 하였다. 그러나 어떻게 최적의 입찰 가격 결정 그룹을 결정할 것인지, 어떻게 안정적인 그룹의 조건을 구할것인지, 또한 입찰 가능 가격 및 이익을 그룹 구성원 간에 분배할 것인지에 대한 연구는 CACM 모델에서 구체적으로 연구되지 못했다. 본 논문에서는, CACM 모델을 N-person 협력 게임 이론에 대입하여 CACM모델에 추가적으로 위에서 제시한 문제들을 공식화하여 제안하고자 한다. 그룹의 안정성은 그룹의 각 구성원에게 코어와 할당량에 대한 개념을 대입해 게임이론에서의 샤플리 값을 사용하여 분석한다. 여러 계산 결과값을 통해 제안하는 기법의 특성평가를 도출한다. In recent years, dynamic collaboration (DC) among cloud providers (CPs) is becoming an inevitable approach for the widely use of cloud computing and to realize the greatest value of it. In our previous paper, we proposed a combinatorial auction (CA) based cloud market model called CACM that enables a DC platform among different CPs. The CACM model allows any CP to dynamically collaborate with suitable partner CPs to form a group before joining an auction and thus addresses the issue of conflicts minimization that may occur when negotiating among providers. But how to determine optimal group bidding prices, how to obtain the stability condition of the group and how to distribute the winning prices/profits among the group members in the CACM model have not been studied thoroughly. In this paper, we propose to formulate the above problems of cooperative negotiation in the CACM model as a bankruptcy game which is a special type of N-person cooperative game. The stability of the group is analyzed by using the concept of the core and the amount of allocationsto each member of the group is obtained by using Shapley value. Numerical results are presented to demonstrate the behaviors of the proposed approaches.