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Performance Analysis of Collaborative Mobile Edge Computation Offloading in 5G Ultra-Dense Networks
Md Delowar Hossain(호씬 엠디 딜로와르),Eui-Nam Huh(허의남) 한국정보과학회 2019 정보과학회 컴퓨팅의 실제 논문지 Vol.25 No.7
스몰셀(Small-cell) 기지국의 MEC(Mobile Edge Computing) 서버는 5G 초과밀 네트워크에서 선도적인 아이디어 중에 하나이다. 초과밀 네트워크는 트래픽 집약적인 애플리케이션을 대중화 하는데 중요한 역할과 모바일 디바이스의 리소스 한계를 극복한다. 기존 연구는 소형 기지국 연합 및 원격 서버에 대한 고려가 미비하고, 주로 단일계층 기지국 시나리오(SBS-MEC offloading)에 중점을 두고 있다. 그러나, 별개의 셀은 대량의 워크로드를 처리 하기에 제한된 컴퓨팅 자원을 갖는다. 더 나은 성능을 위해서, 협력적 태스크 오프로딩을 본 논문에서 제안한다. 협력적 태스크 오프로딩은 대량의 사용자 요청을 처리할 수 있을 뿐만 아니라, 시간 소모와 실패하는 태스크의 수를 줄일 수 있다. 시뮬레이션 결과를 통해 제안하는 방법이 단일 계층 BS 시나리오보다 평균 태스크 지속시간을 약 17.6% 그리고 평균 태스크 실패를 약 19.1% 줄일 수 있다는 것을 보인다. Mobile Edge Computing(MEC) server on small cell base station is one of the leading ideas in 5G ultra-dense networks which plays an important role in the popularization of innovative traffic-intensive applications and overcomes the abridgement of resource constraints mobile devices. Existing researches mostly focus on single-tier BS scenario (SBS-MEC offloading) while ignoring SBS coalitions and remote servers. However, the distinct cell has confined computing resource to handle the massive amount of workload. In the present work, collaborative task offloading scheme is proposed in order to acquire better performances, as the scheme is hypothesized to handle a huge number of incoming user requests, and reduce the time consumption as well as the number of failed tasks. The simulation results show that it can reduce the average task duration at almost 17.6% and average task failure at approximately 19.1%, compared to the single-tier BS scenario.
Hossain Md. Delowar,Sultana Tangina,Akhter Sharmen,Hossain Md Imtiaz,Thu Ngo Thien,Huynh Luan N.T.,Lee Ga-Won,허의남 한국통신학회 2023 ICT Express Vol.9 No.6
Edge computing has emerged as a promising computing paradigm that enables real-time data processing and analysis closer to the data source and boosts decision-making applications in a safe manner. On the other hand, the microservice is a new type of architecture that can be dynamically deployed, migrating across edge clouds on demand. Therefore, the combination of these two technologies can provide numerous benefits, including improved performance, reduced latency, and better resource utilization. In this paper, we present a thorough analysis of state-of-the-art research on the use of microservices in edge computing environments. We take into consideration several distinct microservice research directions, including coordination, orchestration, repositories, scheduling, autoscaling, deployment, resource management, and different security issues. Furthermore, we explore the potential applications of microservices in edge computing across various domains. Finally, the unsolved research issues and future directions of emerging trends in this area are also discussed.
Effect of Deposition Parameters on the Morphology and Electrochemical Behavior of Lead Dioxide
Hossain, Md Delowar,Mustafa, Chand Mohammad,Islam, Md Mayeedul The Korean Electrochemical Society 2017 Journal of electrochemical science and technology Vol.8 No.3
Lead dioxide thin films were electrodeposited on nickel substrate from acidic lead nitrate solution. Current efficiency and thickness measurements, cyclic voltammetry, AFM, SEM, and X-ray diffraction experiments were conducted on $PbO_2$ surface to elucidate the effect of lead nitrate concentration, current density, temperature on the morphology, chemical behavior, and crystal structure. Experimental results showed that deposition efficiency was affected by the current density and solution concentration. The film thickness was independent of current density when deposition from high $Pb(NO_3)_2$ concentration, while it decreased for low concentration and high current density deposition. On the other hand, deposition temperature had negative effect on current efficiency more for lower current density deposition. Cyclic voltammetric study revealed that comparatively more ${\beta}-PbO_2$ produced compact deposits when deposition was carried out from high $Pb(NO_3)_2$ concentration. Such compact films gave lower charge discharge current density during cycling. SEM and AFM studies showed that deposition of regular-size sharp-edge grains occurred for all deposition conditions. The grain size for high temperature and low concentration $Pb(NO_3)_2$ deposition was bigger than from low temperature and high concentration deposition conditions. While cycling converted all grains into loosely adhered flappy deposit with numerous pores. X-ray diffraction measurement indicates that high concentration, high temperature, and high current density favored ${\beta}-PbO_2$ deposition while ${\alpha}-PbO_2$ converted to ${\beta}-PbO_2$ together with some unconverted $PbSO_4$ during cycling in $H_2SO_4$.
You Jiawen,Hossain Md Delowar,Luo Zhengtang 나노기술연구협의회 2018 Nano Convergence Vol.5 No.26
Two-dimensional (2D) transition metal dichalcogenides (TMDs) have stimulated the modern technology due to their unique and tunable electronic, optical, and chemical properties. Therefore, it is very important to study the control parameters for material preparation to achieve high quality thin films for modern electronics, as the performance of TMDs-based device largely depends on their layer number, grain size, orientation, and morphology. Among the synthesis methods, chemical vapor deposition (CVD) is an excellent technique, vastly used to grow controlled layer of 2D materials in recent years. In this review, we discuss the different growth routes and mechanisms to synthesize high quality large size TMDs using CVD method. We highlight the recent advances in the controlled growth of mono- and few-layer TMDs materials by varying different growth parameters. Finally, different strategies to control the grain size, boundaries, orientation, morphology and their application for various field of are also thoroughly discussed.
DWT-DCT Based Individuals Identification Using Robust Gait Feature Images
K. M. Ibrahim Khalilullah,Delowar Hossain,Md. Ekramul Hamid 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.4
Individual identification at a distance using gait features has newly gained growing interest from biometrics researchers. Most of the researchers have been shown that different covariate factors can affect different parts of the human body. In this paper, we propose a new approach that minimizes these difficulties, especially for carrying objects by combining static, dynamic, and part-based features. The Gait Features of the walking sequences are extracted by selecting only four sub bands of the Discrete Wavelet Transform (DWT) of the individual images. Moreover, Discrete Fourier Transform (DFT) and Discrete Cosine Transform (DCT) are implemented to extract lowest and middle frequency components that are used to create robust gait feature images (RGFIs). Then we select effective parts of the body from the Robust Gait Feature Images. After that, these parts of the body are trained using Principal Component Analysis (PCA) and Multiple Discriminant Analysis (MDA) to identify individuals. Experimental result shows promising performance in comparison with other methods.