A Case Study of Green Ambience through Green Cloud Computing

Kumar, Rethina,Kang, Jeong-Jin The Institute of Internet 2012 Journal of Advanced Smart Convergence Vol.1 No.2

Green cloud computing refers to the green ambient benefits that information technology services delivered over the Internet can offer for the society. The green meaning environment friendly and cloud computing is a traditional symbol for the Internet and a type of service provider. Cloud computing has drastically increased the number of datacenters and the energy consumption of data centers and that has become a critical issue which is extremely important in green ambience. These days the cloud data center needs high energy resources that leads to high operational cost and also maximizes CO2 - carbon footprint that pollutes the ambience which is not to be considered as green ambience. So we need to provide a way that leads us to green ambience. Cloud computing for the green ambience should be designed in a way which will utilize less energy resources and to minimize the CO2 -carbon footprint, known as green cloud. In this paper we discuss various elements of Clouds which contributes to minimize the total energy consumption and the carbon emission so as to enable green ambience through green cloud computing.

의료 산업 분야에서 클라우드 컴퓨팅의 기회와 도전

이욱현 한국지식정보기술학회 2023 한국지식정보기술학회 논문지 Vol.18 No.6

The latest trendy new approach to successfully delivering IT services is through cloud computing. Medicine is becoming an increasingly data-intensive field, which generates large amounts of data that must be stored and later accessed. This has led to a growing need for dynamic and scalable resources. The main body of this research shows that cloud technologies that fulfill these requirements can improve service quality in healthcare. Cloud computing, like any other technological advancement, must be thoroughly evaluated before it is widely used. Many researchers and clinicians are interested in the availability of large-scale, rapidly available, reconfigurable resources such as virtual systems, platforms, and applications at minimal service costs. This study thoroughly analyzes the academic literature on cloud computing in healthcare. It proposes a classification methodology into five categories: cloud-based green healthcare in healthcare, cloud-based framework development, virtual machine deployment in healthcare, cloud-based healthcare security, and broker development in healthcare. The authors reviewed 227 papers and narrowed them down to 40. The modern concept of "service" emphasizes creative approaches to delivering value to customers. Future research should include a broader view of IT service delivery with service value components such as scalability, reliability, and security and should investigate the benefits and challenges of data sharing as well as the regulatory compliance of CSPs providing these services. The integration of cloud computing for decision support in the healthcare industry holds great potential for academics and practitioners, as cloud-based systems can provide access to the multidimensional data needed for decision making.

Energy Efficient Software Development Techniques for Cloud based Applications

Aeshah A. Alsayyah,Shakeel Ahmed International Journal of Computer ScienceNetwork S 2023 International journal of computer science and netw Vol.23 No.7

Worldwide organizations use the benefits offered by Cloud Computing (CC) to store data, software and programs. While running hugely complicated and sophisticated software on cloud requires more energy that causes global warming and affects environment. Most of the time energy consumption is wasted and it is required to explore opportunities to reduce emission of carbon in CC environment to save energy. Many improvements can be done in regard to energy efficiency from the software perspective by considering and paying attention on the energy consumption aspects of software's that run on cloud infrastructure. The aim of the current research is to propose a framework with an additional phase called parameterized development phase to be incorporated along with the traditional Software Development Life cycle (SDLC) where the developers need to consider the suggested techniques during software implementation to utilize low energy for running software on the cloud and contribute in green computing. Experiments have been carried out and the results prove that the suggested techniques and methods has enabled in achieving energy consumption.

Goal-driven Optimization Strategy for Energy and Performance-Aware Data Centers for Cloud-Based Wind Farm CMS

( Frank Elijorde ),( Sungho Kim ),( Jaewan Lee ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.3

A cloud computing system can be characterized by the provision of resources in the form of services to third parties on a leased, usage-based basis, as well as the private infrastructures maintained and utilized by individual organizations. To attain the desired reliability and energy efficiency in a cloud data center, trade-offs need to be carried out between system performance and power consumption. Resolving these conflicting goals is often the major challenge encountered in the design of optimization strategies for cloud data centers. The work presented in this paper is directed towards the development of an Energy-efficient and Performance-aware Cloud System equipped with strategies for dynamic switching of optimization approach. Moreover, a platform is also provided for the deployment of a Wind Farm CMS (Condition Monitoring System) which allows ubiquitous access. Due to the geographically-dispersed nature of wind farms, the CMS can take advantage of the cloud`s highly scalable architecture in order to keep a reliable and efficient operation capable of handling multiple simultaneous users and huge amount of monitoring data. Using the proposed cloud architecture, a Wind Farm CMS is deployed in a virtual platform to monitor and evaluate the aging conditions of the turbine`s major components in concurrent, yet isolated working environments.

Green data center with IoT sensing and cloud-assisted smart temperature control system

Liu, Q.,Ma, Y.,Alhussein, M.,Zhang, Y.,Peng, L. Elsevier Science Publishers B.V. 2016 Computer networks Vol.101 No.-

With the growing shortage of energy around the world, energy efficiency is one of the most important considerations for a data center. In this paper, we propose a green data center air conditioning system assisted by cloud techniques, which consists of two subsystems: a data center air conditioning system and a cloud management platform. The data center air conditioning system includes environment monitoring, air conditioning, ventilation and temperature control, whereas the cloud platform provides data storage and analysis to support upper-layer applications. Moreover, the detailed design and implementation are presented, including the dispatch algorithm for the temperature control, topological structure of the sensor network, and framework for the environment monitoring node. A feasibility evaluation is used to verify that the proposed system can significantly reduce the data center energy consumption without degradation in the cooling performance.

An enhanced framework for multimedia data: Green transmission and portrayal for smart traffic system

Iqbal, Muhamad Munwar,Mehmood, Muhammad Tahir,Jabbar, Sohail,Khalid, Shehzad,Ahmad, Awais,Jeon, Gwanggil Elsevier 2018 Computers & electrical engineering Vol.67 No.-

<P><B>Abstract</B></P> <P>The object tracking in video surveillance for intelligent traffic handling in smart cities requires an enormous amount of data called big data to be transmitted over the network using the Internet of Things. Manual monitoring and surveillance are impossible because traditional computer vision technologies are no more useful for massive processing and intelligent decision making. In this paper, a framework is proposed which enables both on spot data processing and intelligent decision making by using cloud computing. The developed application is a trained on Artificial Neural Network, which can handle different traffic techniques with congested traffic scenario and priorities traffic such as ambulance handling. The Message Queue Telemetry Transport protocol is used for green transmission with mobile access to traffic data. The results analyzed with thirty videos processed data which handle real-time data prioritization for the people for smart surveillance to fastest route and enhance the intelligent data transmission.</P>

Green IoT Agriculture and HealthcareApplication (GAHA)

Chandra Sukanya Nandyala,Haeng-Kon Kim 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.4

The application of the two trending and popular technologies, Cloud Computing (CC) and the Internet of Things (IoT) are current hot discussions in the field of agriculture and healthcare applications. Motivated by achieving a sustainable world, this paper discusses various technologies and issues regarding green cloud computing and green Internet of Things, further improves the discussion with the reduction in energy consumption of the two techniques (CC and IoT) combination in agriculture and healthcare systems. The history and concept of the hot green information and communications technologies (ICT’s) which are enabling green IoT will be discussed. Green computing introduction first and later focuses on the recent works done regarding the two emerging technologies in both agriculture and healthcare cases. Furthermore, this paper contributes by presenting Green IoT Agriculture and Healthcare Application (GAHA) using sensor-cloud integration model. Finally, lists out the advantages, challenges, and future research directions related to green application design. Our research aims to make green area broad and contribution to sustainable application world.

An IoT based Green Home Architecture for Green Score Calculation towards Smart Sustainable Cities

( K. Manikanda Kumaran ),( M. Chinnadurai ),( S. Manikandan ),( S. Palani Murugan ),( E. Elakiya ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.7

In the recent modernized world, utilization of natural resources (renewable & non-renewable) is increasing drastically due to the sophisticated life style of the people. The over-consumption of non-renewable resources causes pollution which leads to global warming. Consequently, government agencies have been taking several initiatives to control the over-consumption of non-renewable natural resources and encourage the production of renewable energy resources. In this regard, we introduce an IoT powered integrated framework called as green home architecture (GHA) for green score calculation based on the usage of natural resources for household purpose. Green score is a credit point (i.e.,10 pts) of a family which can be calculated once in a month based on the utilization of energy, production of renewable energy and pollution caused. The green score can be improved by reducing the consumption of energy, generation of renewable energy and preventing the pollution. The main objective of GHA is to monitor the day-to-day usage of resources and calculate the green score using the proposed green score algorithm. This algorithm gives positive credits for economic consumption of resources and production of renewable energy and also it gives negative credits for pollution caused. Here, we recommend a green score based tax calculation system which gives tax exemption based on the green score value. This direct beneficiary model will appreciate and encourage the citizens to consume fewer natural resources and prevent pollution. Rather than simply giving subsidy, this proposed system allows monitoring the subsidy scheme periodically and encourages the proper working system with tax exemption rewards. Also, our GHA will be used to monitor all the household appliances, vehicles, wind mills, electricity meter, water re-treatment plant, pollution level to read the consumption/production in appropriate units by using the suitable sensors. These values will be stored in mass storage platform like cloud for the calculation of green score and also employed for billing purpose by the government agencies. This integrated platform can replace the manual billing and directly benefits the government.

Power Saving Strategies in Green Cloud Computing Systems

Amlan Deep Borah,Deboraj Muchahary,Sandeep Kumar Singh,Janmoni Borah 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.1

The most challenging field of concern these days is energy conservation in various applications. Energy crisis led a way to green computing and green computing needs an efficient redesign of algorithms and mechanisms to meet the desired energy efficiency. Green IT is a study and practice which can reduce energy consumption significantly. In this paper various efficient energy saving Green IT methods are discussed. As cloud computing has become a fast emerging technology this days, some energy saving strategy for cloud computing has also been discussed in the paper. Most of the IT sector energy consumption happens in data centers. Virtual Machine migration an emerging energy aware technology used in data centers is also discussed in the paper. Finally some power conserving matrix parameters are given importance.

Heuristic based Energy-aware Resource Allocation by Dynamic Consolidation of Virtual Machines in Cloud Data Center

( Md. Sabbir Hasan ),( Eui-nam Huh ) 한국인터넷정보학회 2013 KSII Transactions on Internet and Information Syst Vol.7 No.8

Rapid growth of the IT industry has led to significant energy consumption in the last decade. Data centers swallow an enormous amount of electrical energy and have high operating costs and carbon dioxide excretions. In response to this, the dynamic consolidation of virtual machines (VMs) allows for efficient resource management and reduces power consumption through the live migration of VMs in the hosts. Moreover, each client typically has a service level agreement (SLA), this leads to stipulations in dealing with energy-performance trade-offs, as aggressive consolidation may lead to performance degradation beyond the negotiation. In this paper we propose a heuristic based resource allocation of VM selection and a VM allocation approach that aims to minimize the total energy consumption and operating costs while meeting the client-level SLA. Our experiment results demonstrate significant enhancements in cloud providers` profit and energy savings while improving the SLA at a certain level.