http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Cloud Customer's Historical Record Based Resource Pricing
Aazam, Mohammad,Eui-Nam Huh,St-Hilaire, Marc,Chung-Horng Lung,Lambadaris, Ioannis IEEE 2016 IEEE transactions on parallel and distributed syst Vol.27 No.7
<P>Media content in its digital form has been rapidly scaling up, resulting in popularity gain of cloud computing. Cloud computing makes it easy to manage the vastly increasing digital content. Moreover, additional features like, omnipresent access, further service creation, discovery of services, and resource management also play an important role in this regard. The forthcoming era is interoperability of multiple clouds, known as cloud federation or inter-cloud computing. With cloud federation, services would be provided through two or more clouds. Once matured and standardized, inter-cloud computing is supposed to provide services which would be more scalable, better managed, and efficient. Such tasks are provided through a middleware entity called cloud broker. A broker is responsible for reserving resources, managing them, discovering services according to customer's demands, Service Level Agreement (SLA) negotiation, and match-making between the involved service provider and the customer. So far existing studies discuss brokerage in a narrow focused way. In the research outcome presented in this paper, we provide a holistic brokerage model to manage on-demand and advance service reservation, pricing, and reimbursement. A unique feature of this study is that we have considered dynamic management of customer's characteristics and historical record in evaluating the economics related factors. Additionally, a mechanism of incentive and penalties is provided, which helps in trust build-up for the customers and service providers, prevention of resource underutilization, and profit gain for the involved entities. For practical implications, the framework is modeled on Amazon Elastic Compute Cloud (EC2) On-Demand and Reserved Instances service pricing. For certain features required in the model, data was gathered from Google Cluster trace.</P>
Framework of Resource Management for Intercloud Computing
Aazam, Mohammad,Huh, Eui-Nam Hindawi Limited 2014 Mathematical problems in engineering Vol.2014 No.-
<P>There has been a very rapid increase in digital media content, due to which media cloud is gaining importance. Cloud computing paradigm provides management of resources and helps create extended portfolio of services. Through cloud computing, not only are services managed more efficiently, but also service discovery is made possible. To handle rapid increase in the content, media cloud plays a very vital role. But it is not possible for standalone clouds to handle everything with the increasing user demands. For scalability and better service provisioning, at times, clouds have to communicate with other clouds and share their resources. This scenario is called Intercloud computing or cloud federation. The study on Intercloud computing is still in its start. Resource management is one of the key concerns to be addressed in Intercloud computing. Already done studies discuss this issue only in a trivial and simplistic way. In this study, we present a resource management model, keeping in view different types of services, different customer types, customer characteristic, pricing, and refunding. The presented framework was implemented using Java and NetBeans 8.0 and evaluated using CloudSim 3.0.3 toolkit. Presented results and their discussion validate our model and its efficiency.</P>
Photocatalytic oxidation of cyanide under visible light by Pt doped AgInS2 nanoparticles
E.S. Aazam 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.6
AgInS2 nanoparticles were prepared by a microwave method, while Pt was doped on the surface ofAgInS2 via photoassisted deposition method. The catalytic performances of the AgInS2 and Pt/AgInS2samples were carried out for photocatalytic oxidation of cyanide under visible light. The UV–vis analysisproved a red shift was detected after the loading of Pt into the AgInS2. The maximumoxidation efficiencyachieved was 100% at 1.5 wt% Pt/AgInS2 photocatalyst after 35 min reaction time. The catalyst could bereused without any loss in activity during the first five cycles.
모하마드아잠 ( Mohammad Aazam ),밤복흥 ( Pham Phuoc Hung ),아이만압둘라알사파르 ( Aymen Abdullah Alsaffar ),알아민호새인 ( Al-amin Hossain ),이슬람 ( Md Motaharul ),허의남 ( Islam ),( Eui-nam Huh ) 한국정보처리학회 2013 한국정보처리학회 학술대회논문집 Vol.20 No.1
Cloud computing is an emerging technology, which allows the user to fulfill his needs by outsourcing the resources. With the passage of time, cloud computing has become an essential part of our lives. But it still requires some sort of standardization, specially in terms of user’s trust, privacy, and security related things. This study presents different types of cloud computing services and their working domains along with some key virtualization related issues that are encountered by the cloud service provider as well as the user. Those key issues, related with virtual network are discussed in this paper. This study provides a basis to work further on those issues, so that the key concerns are addressed as soon as possible and cloud computing could become standardized and more prevalent.
E.S. Aazam 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.5
CdS nanoparticles were prepared by a hydrothermal method, and Au was deposited onto the surface of CdS via a photoassisted deposition method. The resulting samples were characterised by X-ray diffraction, ultraviolet and visible spectroscopy, photoluminescence emission spectroscopy, transmis-sion electron microscopy, X-ray photoelectron spectroscopy, and surface area measurements. The catalytic performance of the samples in the photocatalytic oxidation of cyanide under visible light was determined. The UV–vis analysis indicated that a red shift occurred after Au was loaded onto CdS nanoparticles. The maximum photocatalytic oxidation efficiency was 100%, which was obtained using 0.2 wt% Au/CdS after a reaction time of 40 min.