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Miah, Md. Danesh,Hossain, Mohammed Anwar,Muhammed, Nur,Sin, Man Yong Korean Society of Forest Science 2006 한국산림과학회지 Vol.95 No.5
Neem tree (Azadirachta indica), native to the Indian sub-continent, has been known since the ancient time for its medicinal and insect repellent properties. In recent years, Neem has attracted global attention due to its potential as a source of natural drugs and also environment-friendly pesticides. In the households. The distribution and traditional practice on Neem can be important to the agriculturist, ethno-pharmaceutical developers and to the rural development practitioners in Bangladesh. An exploratory survey on the distribution and traditional practice on Neem tree in the rural homesteads of Chittagong coastal plain, Bangladesh, was conducted over a period of three months from September 2002 to November 2002. It was found that maximum, 64% households used seedling as planting material having 40% maximum sources Within the major tree species present in the homesteads, Neem accounted for 12% among the total individuals. It was found that the availability of Neem trees was found maximum, 31%, in the homesteads of medium sized households. Maximum, 42% individuals of Neem were found within the DBH of 10.1 to 20 cm; and 37% within the 3.1 to 6 m height classes. Neem trees were found to be used maximum, 88% for furniture. The findings of the study will be of immense importance for the rural development practitioners and ethno pharmacological developers in Bangladesh.
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.