Pub Date : 2021-12-10DOI: 10.1109/SMART52563.2021.9676207
Anuj Sharma, G. Goswami, P. Goswami, Rupali Mahajan
The increasing use of smart sensors in IoT applications enhances the scale of smart automation. The applications area of smart industries constitutes nonlinear load sensors at large level. The nonlinear characteristics of such components causes insertion of severe harmonic current and this result in performance deviation and system failure. It is clear that a wider area is IoT and improvement in power quality is challenge. This paper presents comprehensive review on power quality control and shunt active filters. Articles belong to the category of IoT, Active Power Filter and different types of improvement in power quality methods and were mainly published in a decade. The review of literature has been carried out by making category-based sections of papers issue wise or under sub-area. This comprehensive review will absolutely help to researchers for problem identification and research gap findings in most smart technologies.
{"title":"A Comprehensive Review: Shunt Active Power Filter For Nonlinear IoT Applications","authors":"Anuj Sharma, G. Goswami, P. Goswami, Rupali Mahajan","doi":"10.1109/SMART52563.2021.9676207","DOIUrl":"https://doi.org/10.1109/SMART52563.2021.9676207","url":null,"abstract":"The increasing use of smart sensors in IoT applications enhances the scale of smart automation. The applications area of smart industries constitutes nonlinear load sensors at large level. The nonlinear characteristics of such components causes insertion of severe harmonic current and this result in performance deviation and system failure. It is clear that a wider area is IoT and improvement in power quality is challenge. This paper presents comprehensive review on power quality control and shunt active filters. Articles belong to the category of IoT, Active Power Filter and different types of improvement in power quality methods and were mainly published in a decade. The review of literature has been carried out by making category-based sections of papers issue wise or under sub-area. This comprehensive review will absolutely help to researchers for problem identification and research gap findings in most smart technologies.","PeriodicalId":356096,"journal":{"name":"2021 10th International Conference on System Modeling & Advancement in Research Trends (SMART)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114540417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-10DOI: 10.1109/SMART52563.2021.9676312
P. Verma, G. Goswami
Twenty First century electrical power network is becoming complex due to evolution of EV, integration of RE resources and use of semiconductor material-based device & appliance. This combination is giving a boost in power quality problem. The paper surveys the PQ issues based upon nonlinear loads, analysis by ETAP software to understand PQ issue, modified Newton-Raphson algorithm with and without SPV incorporation in the system and analysed to calculate discrete harmonics, Realtime harmonic estimation technique, EV charging & storage under RE resources to provide stabilization and regulation of system voltage, Unified Power Quality Conditioner (UPQC) based application, LCL filter-based method for increased output and equilibrium accuracy. This paper was reviewed in the domain of Power Quality issues to manage, investigate and find out research gap for development of control strategy.
{"title":"Power Quality Issues Associated with Smart Grid: A Review","authors":"P. Verma, G. Goswami","doi":"10.1109/SMART52563.2021.9676312","DOIUrl":"https://doi.org/10.1109/SMART52563.2021.9676312","url":null,"abstract":"Twenty First century electrical power network is becoming complex due to evolution of EV, integration of RE resources and use of semiconductor material-based device & appliance. This combination is giving a boost in power quality problem. The paper surveys the PQ issues based upon nonlinear loads, analysis by ETAP software to understand PQ issue, modified Newton-Raphson algorithm with and without SPV incorporation in the system and analysed to calculate discrete harmonics, Realtime harmonic estimation technique, EV charging & storage under RE resources to provide stabilization and regulation of system voltage, Unified Power Quality Conditioner (UPQC) based application, LCL filter-based method for increased output and equilibrium accuracy. This paper was reviewed in the domain of Power Quality issues to manage, investigate and find out research gap for development of control strategy.","PeriodicalId":356096,"journal":{"name":"2021 10th International Conference on System Modeling & Advancement in Research Trends (SMART)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114628605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The technological evolution in the last decades has led us to the forefront of the digitization of services at every stratum of the processes and businesses. As the technology is advancing, an era of automation is witnessed in each field. Intelligent Process Automation (IPA) is amalgamation of Robotic Process Automation (RPA) with Artificial Intelligence with a view to create end-to-end processes which can think, learn, and adapt on their own. This paper aims to present a comprehensive study of the RPA tools associated to the intelligent automation using Artificial Intelligence. It also provides a brief overview of the current development in IPA market which can contribute to the implementation of the IPA in various organizations.
{"title":"Intelligent Process Automation: The Future of Digital Transformation","authors":"Pankaj Singh Kholiya, Akshat Kapoor, Meghavi Rana, Megha Bhushan","doi":"10.1109/SMART52563.2021.9676222","DOIUrl":"https://doi.org/10.1109/SMART52563.2021.9676222","url":null,"abstract":"The technological evolution in the last decades has led us to the forefront of the digitization of services at every stratum of the processes and businesses. As the technology is advancing, an era of automation is witnessed in each field. Intelligent Process Automation (IPA) is amalgamation of Robotic Process Automation (RPA) with Artificial Intelligence with a view to create end-to-end processes which can think, learn, and adapt on their own. This paper aims to present a comprehensive study of the RPA tools associated to the intelligent automation using Artificial Intelligence. It also provides a brief overview of the current development in IPA market which can contribute to the implementation of the IPA in various organizations.","PeriodicalId":356096,"journal":{"name":"2021 10th International Conference on System Modeling & Advancement in Research Trends (SMART)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124011717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-10DOI: 10.1109/SMART52563.2021.9676285
Preeti
Due to the rapid rise of digital data collection techniques, a vast amount of data has become available. Unstructured and unsaturated data account for more than 85 percent of present data. Finding acceptable trends and patterns to interpret text documents from huge amounts of data is a major challenge. The process of extracting valuable and nontrivial patterns from large amounts of text documents is known as text mining. There are a variety of strategies and tools for mining text for useful information for future forecasting and decision-making. To boost the speed and reduce the time and effort required to obtain important data, an appropriate and proper text mining methodology is applied. This paper discusses and analyses text mining techniques and their applicability in numerous areas of life. Furthermore, challenges in the field of text mining have been discovered, which have an impact on the accuracy and relevance of the results.
{"title":"Review on Text Mining: Techniques, Applications and Issues","authors":"Preeti","doi":"10.1109/SMART52563.2021.9676285","DOIUrl":"https://doi.org/10.1109/SMART52563.2021.9676285","url":null,"abstract":"Due to the rapid rise of digital data collection techniques, a vast amount of data has become available. Unstructured and unsaturated data account for more than 85 percent of present data. Finding acceptable trends and patterns to interpret text documents from huge amounts of data is a major challenge. The process of extracting valuable and nontrivial patterns from large amounts of text documents is known as text mining. There are a variety of strategies and tools for mining text for useful information for future forecasting and decision-making. To boost the speed and reduce the time and effort required to obtain important data, an appropriate and proper text mining methodology is applied. This paper discusses and analyses text mining techniques and their applicability in numerous areas of life. Furthermore, challenges in the field of text mining have been discovered, which have an impact on the accuracy and relevance of the results.","PeriodicalId":356096,"journal":{"name":"2021 10th International Conference on System Modeling & Advancement in Research Trends (SMART)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124403793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-10DOI: 10.1109/SMART52563.2021.9676294
R. Tiwari, A. Misra, A. Agarwal, Vikas Khullar
The Wireless Body Sensor Network (WBSN) surrounds and communicates with the human body. Wearable and implantable tiny sized sensor nodes placed or attached on the human body collect the physiological data to achieve the continuous monitoring of patient’s health conditions. These sensor nodes depend on open wireless medium for effective transmission of vital and confidential information. For the purpose of overcoming the interference problem, spread spectrum modulation methods such as Direct Sequence Spread Spectrum (DSSS) and Frequency Hop Spread Spectrum (FHSS) have become widely used. If you use a typical spread spectrum modulation approach in the face of a reactive jammer, it is required for the transmitter and receivers to communicate pseudo-noise (PN) codes as a secret key for data transfer. Furthermore, if a jammer is aware of the Pseudo-Noise codes, it is capable of replicating the same secret Pseudo-Noise codes and so jamming the entire system. Therefore, strict security mechanisms are essential to enable a secure WBSN from various vulnerable attacks such as reactive jammer and eavesdropper. This paper reviews diverse relevant works associated with anti-jamming in wireless communication.
{"title":"Communication Jamming in Body Sensor Network: A Review","authors":"R. Tiwari, A. Misra, A. Agarwal, Vikas Khullar","doi":"10.1109/SMART52563.2021.9676294","DOIUrl":"https://doi.org/10.1109/SMART52563.2021.9676294","url":null,"abstract":"The Wireless Body Sensor Network (WBSN) surrounds and communicates with the human body. Wearable and implantable tiny sized sensor nodes placed or attached on the human body collect the physiological data to achieve the continuous monitoring of patient’s health conditions. These sensor nodes depend on open wireless medium for effective transmission of vital and confidential information. For the purpose of overcoming the interference problem, spread spectrum modulation methods such as Direct Sequence Spread Spectrum (DSSS) and Frequency Hop Spread Spectrum (FHSS) have become widely used. If you use a typical spread spectrum modulation approach in the face of a reactive jammer, it is required for the transmitter and receivers to communicate pseudo-noise (PN) codes as a secret key for data transfer. Furthermore, if a jammer is aware of the Pseudo-Noise codes, it is capable of replicating the same secret Pseudo-Noise codes and so jamming the entire system. Therefore, strict security mechanisms are essential to enable a secure WBSN from various vulnerable attacks such as reactive jammer and eavesdropper. This paper reviews diverse relevant works associated with anti-jamming in wireless communication.","PeriodicalId":356096,"journal":{"name":"2021 10th International Conference on System Modeling & Advancement in Research Trends (SMART)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125877522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-10DOI: 10.1109/SMART52563.2021.9676252
Yogiraj Bhale, Nikhil Agrawal, Sachin Kelwa
Covid-19, a pandemic caused by a noble coronavirus, has afflicted the world for the past two years Every aspect of development has been impacted by Covid-19 There were several problems with the healthcare system In the meanwhile, numerous methods have been made to lessen the spirit of this condition, one of which is the use of a mask on the face In this research, we offer a strategy for reducing covid-19 development by identifying persons who are not using masks or are not wearing them appropriately Closed-circuit television (CCTV) cameras are used in smart cities and public places When a person without a mask is identified, the city network informs the authorities The deep learning design is based on a data set that compares photos of individuals wearing and without wearing masks from a variety of sources For prior test information, the prepared design aided 97. 3 percent of existence on dysentery individuals with and without a facial mask It is anticipated that our research would prove to be a beneficial tool in protecting our people from diseases like these
{"title":"Mask Detection using Computer Vision","authors":"Yogiraj Bhale, Nikhil Agrawal, Sachin Kelwa","doi":"10.1109/SMART52563.2021.9676252","DOIUrl":"https://doi.org/10.1109/SMART52563.2021.9676252","url":null,"abstract":"Covid-19, a pandemic caused by a noble coronavirus, has afflicted the world for the past two years Every aspect of development has been impacted by Covid-19 There were several problems with the healthcare system In the meanwhile, numerous methods have been made to lessen the spirit of this condition, one of which is the use of a mask on the face In this research, we offer a strategy for reducing covid-19 development by identifying persons who are not using masks or are not wearing them appropriately Closed-circuit television (CCTV) cameras are used in smart cities and public places When a person without a mask is identified, the city network informs the authorities The deep learning design is based on a data set that compares photos of individuals wearing and without wearing masks from a variety of sources For prior test information, the prepared design aided 97. 3 percent of existence on dysentery individuals with and without a facial mask It is anticipated that our research would prove to be a beneficial tool in protecting our people from diseases like these","PeriodicalId":356096,"journal":{"name":"2021 10th International Conference on System Modeling & Advancement in Research Trends (SMART)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128416991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-10DOI: 10.1109/SMART52563.2021.9676220
Palwinder Kaur Mangat, K. S. Saini
Throughout the years, several studies have been conducted on how to improve the health sector’s management and administration activities, as well as, most importantly, the healthcare delivered to its patients. In the health-care system, data is currently growing at an exponential rate. In this view, the deployment of technology capable of utilizing it in a constructive way for the company, assisting it in achieving its goals, is critical. Health data analytics, particularly analytics that are used for making predictions are being used as a tool for enabling more preventive treatment alternatives. Despite having access to an abundance of data, even though there is no actionable knowledge using which healthcare industry can make predictions. This is due to the fact that, despite its abundance, healthcare data is fundamentally complex and fragmented. Critical care that is also a part of healthcare areas, also facing a problem of increasing population as well as economic pressures, due to which it is difficult for most of the human beings to get required treatments. When we talk ICU patients their health frequently changes at every movement. When in a county most of the population is aged then there will be more need of ICUs due to the health problems of old people. Equally, patient expectations are increasing with the advancement of technology in healthcare sector, but it is not possible to deliver the required service due to increasing inflation. Better, more productive care is thus the big challenge. This paper we are going to examine the use of predictive analytics in healthcare sector as well as how it is different than the other sectors where the predictive analytics are being used. It also has been also discussed in this paper the various applications of predictive analytics in healthcare sector and the challenges that predictive analytics are facing in the healthcare sector.
{"title":"Health CARE Prediction using Predictive Analytics","authors":"Palwinder Kaur Mangat, K. S. Saini","doi":"10.1109/SMART52563.2021.9676220","DOIUrl":"https://doi.org/10.1109/SMART52563.2021.9676220","url":null,"abstract":"Throughout the years, several studies have been conducted on how to improve the health sector’s management and administration activities, as well as, most importantly, the healthcare delivered to its patients. In the health-care system, data is currently growing at an exponential rate. In this view, the deployment of technology capable of utilizing it in a constructive way for the company, assisting it in achieving its goals, is critical. Health data analytics, particularly analytics that are used for making predictions are being used as a tool for enabling more preventive treatment alternatives. Despite having access to an abundance of data, even though there is no actionable knowledge using which healthcare industry can make predictions. This is due to the fact that, despite its abundance, healthcare data is fundamentally complex and fragmented. Critical care that is also a part of healthcare areas, also facing a problem of increasing population as well as economic pressures, due to which it is difficult for most of the human beings to get required treatments. When we talk ICU patients their health frequently changes at every movement. When in a county most of the population is aged then there will be more need of ICUs due to the health problems of old people. Equally, patient expectations are increasing with the advancement of technology in healthcare sector, but it is not possible to deliver the required service due to increasing inflation. Better, more productive care is thus the big challenge. This paper we are going to examine the use of predictive analytics in healthcare sector as well as how it is different than the other sectors where the predictive analytics are being used. It also has been also discussed in this paper the various applications of predictive analytics in healthcare sector and the challenges that predictive analytics are facing in the healthcare sector.","PeriodicalId":356096,"journal":{"name":"2021 10th International Conference on System Modeling & Advancement in Research Trends (SMART)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127335102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-10DOI: 10.1109/SMART52563.2021.9676199
Ajay Kumar, R. Tiwari, Abhineet Anand, N. K. Trivedi, A. Agarwal
This research paper gives a detailed idea of the working of the Sentiment analysis algorithm and how it is used currently. It also peeks into the history and explains what brings in the paradigm change and how it benefited the business and helped them evolve. Lastly concluding with some potential alternate use cases for the same algorithm that can help society as well.
{"title":"New Business Paradigm using Sentiment Analysis Algorithm","authors":"Ajay Kumar, R. Tiwari, Abhineet Anand, N. K. Trivedi, A. Agarwal","doi":"10.1109/SMART52563.2021.9676199","DOIUrl":"https://doi.org/10.1109/SMART52563.2021.9676199","url":null,"abstract":"This research paper gives a detailed idea of the working of the Sentiment analysis algorithm and how it is used currently. It also peeks into the history and explains what brings in the paradigm change and how it benefited the business and helped them evolve. Lastly concluding with some potential alternate use cases for the same algorithm that can help society as well.","PeriodicalId":356096,"journal":{"name":"2021 10th International Conference on System Modeling & Advancement in Research Trends (SMART)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128908672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-10DOI: 10.1109/SMART52563.2021.9676304
K. Ibrahim, Lubna Akhter, Md Abu Taher Dulal, Sharmin Akter, Hasan-Al-Monsur, A. Sattar
The title of this theory is "Title and Author Recognition of Book from Image". During this proposal, I really have been arranged a strategy to show this mental development into an image that may precisely locate the books. It portrays the opposition (usual way of doing things, dataset, and investigation system). Book acknowledgment and evacuation are utilized in an exceptionally various picture measure framework like content observations, scene translations, and item acknowledgment. Overlooking the presence of Books in pictures will cause major issues like item combining, object misfortune, mixing up, and adjustment make-up in book acknowledgment applications like area, group examination, and pursue. A few books had it arranged in books, related with the obtaining and expulsion of pictures and recordings. Near testing and ability working of existing systems inside the video has effectively been reportable, in any case, we tend to don’t have a comparative simply on the off chance that the book stays standing. This paper gives the entire existing pride location overview and expulsion procedure reportable inside the instance of the still picture. Masses and measures of the picked procedures are tried. One of a kind to our data the entirety of this can be an exceptional starting article talks about manners by which to sight and remove books from the genuine picture.
{"title":"Title and Author Recognition from Book Image using Machine Learning Approach","authors":"K. Ibrahim, Lubna Akhter, Md Abu Taher Dulal, Sharmin Akter, Hasan-Al-Monsur, A. Sattar","doi":"10.1109/SMART52563.2021.9676304","DOIUrl":"https://doi.org/10.1109/SMART52563.2021.9676304","url":null,"abstract":"The title of this theory is \"Title and Author Recognition of Book from Image\". During this proposal, I really have been arranged a strategy to show this mental development into an image that may precisely locate the books. It portrays the opposition (usual way of doing things, dataset, and investigation system). Book acknowledgment and evacuation are utilized in an exceptionally various picture measure framework like content observations, scene translations, and item acknowledgment. Overlooking the presence of Books in pictures will cause major issues like item combining, object misfortune, mixing up, and adjustment make-up in book acknowledgment applications like area, group examination, and pursue. A few books had it arranged in books, related with the obtaining and expulsion of pictures and recordings. Near testing and ability working of existing systems inside the video has effectively been reportable, in any case, we tend to don’t have a comparative simply on the off chance that the book stays standing. This paper gives the entire existing pride location overview and expulsion procedure reportable inside the instance of the still picture. Masses and measures of the picked procedures are tried. One of a kind to our data the entirety of this can be an exceptional starting article talks about manners by which to sight and remove books from the genuine picture.","PeriodicalId":356096,"journal":{"name":"2021 10th International Conference on System Modeling & Advancement in Research Trends (SMART)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132329998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-10DOI: 10.1109/SMART52563.2021.9676249
S. Saxena, Mohammad Zubair Khan, R. Singh
Cloud is most recognized environment of computing due to the widely availability of its services to the users. Cloud data centers have adopted virtualization of resources technically known as virtual machines (VMs) for the effective and efficient computation of services. But power consumption through the cloud data centers (CDCs) highlighted as one of the major issues responsible to reduce the quality of services of Cloud computing. Because a large number of electronic resources like processing nodes, servers, disk storage, and networking nodes (i.e. switch/routers) in CDC consume a high degree of energy during computation. Energy is also consumed by cooling plants to cool the data centers as it produces a huge amount of heat (CO2) surrounding it. Due to the high energy consumption, the cloud providers pay a high cost of energy computation and it also contributes more carbon emissions to the atmosphere. Reducing energy consumption and CO2 emission is a major challenge in turning the computation from cloud computing to green computing. So, our main focus in this paper is to develop an energy-saving approach for cloud computing based on resource management. Due to variations in the request of services by the users, the demand for resources also varies during the computation. The amount of users’ request are not always same for all 24 hours in a day. Some period of time it is very low and at that period of time, many resources become idle and consume some fixed amount of energy that is a wastage of energy. In this manner, the proposed ESACR approach first define active (required) and idle (non-required) resources as per the users’ request for services at any instance; after that, it converts the idle resources into an energy-saving mode (i.e., turn OFF) unless it is not required for the service of users’ request. So that the saving of energy will increased, if at any instance all non-useable resources is define in OFF mode.
{"title":"ESACR: An Energy Saving Approach from Cloud Resources for Green Cloud Environment","authors":"S. Saxena, Mohammad Zubair Khan, R. Singh","doi":"10.1109/SMART52563.2021.9676249","DOIUrl":"https://doi.org/10.1109/SMART52563.2021.9676249","url":null,"abstract":"Cloud is most recognized environment of computing due to the widely availability of its services to the users. Cloud data centers have adopted virtualization of resources technically known as virtual machines (VMs) for the effective and efficient computation of services. But power consumption through the cloud data centers (CDCs) highlighted as one of the major issues responsible to reduce the quality of services of Cloud computing. Because a large number of electronic resources like processing nodes, servers, disk storage, and networking nodes (i.e. switch/routers) in CDC consume a high degree of energy during computation. Energy is also consumed by cooling plants to cool the data centers as it produces a huge amount of heat (CO2) surrounding it. Due to the high energy consumption, the cloud providers pay a high cost of energy computation and it also contributes more carbon emissions to the atmosphere. Reducing energy consumption and CO2 emission is a major challenge in turning the computation from cloud computing to green computing. So, our main focus in this paper is to develop an energy-saving approach for cloud computing based on resource management. Due to variations in the request of services by the users, the demand for resources also varies during the computation. The amount of users’ request are not always same for all 24 hours in a day. Some period of time it is very low and at that period of time, many resources become idle and consume some fixed amount of energy that is a wastage of energy. In this manner, the proposed ESACR approach first define active (required) and idle (non-required) resources as per the users’ request for services at any instance; after that, it converts the idle resources into an energy-saving mode (i.e., turn OFF) unless it is not required for the service of users’ request. So that the saving of energy will increased, if at any instance all non-useable resources is define in OFF mode.","PeriodicalId":356096,"journal":{"name":"2021 10th International Conference on System Modeling & Advancement in Research Trends (SMART)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126835761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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