Pub Date : 2021-11-11DOI: 10.1109/I-SMAC52330.2021.9640628
Bhuvana Suganthi D, S. S. V. S. S. R. S. Sarma Adithe, S. Suganthi, B. Maheswari, M. Selvi
The pivotal objective is to compute the capacity and reliability at the edge server nodes with considering the contingency time in failure in using wireless resources. The proposed data driven approach contextually discriminates reliable and unreliable sensor data at the edge server via numerical metrics. The reliability metrics provides an alternative in which rather than dumping the whole data in cloud it process only unreliable data with its computational service. Thus the data acquisition from sensor and processing based on edge node provides improvement in terms of reducing latency for reliable data. Further, instance of unreliability in data is processed with computational storage capacity and processing at cloud.
{"title":"Networking reliability approach for energy analysis in wireless sensor nodes with edge computing techniques","authors":"Bhuvana Suganthi D, S. S. V. S. S. R. S. Sarma Adithe, S. Suganthi, B. Maheswari, M. Selvi","doi":"10.1109/I-SMAC52330.2021.9640628","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9640628","url":null,"abstract":"The pivotal objective is to compute the capacity and reliability at the edge server nodes with considering the contingency time in failure in using wireless resources. The proposed data driven approach contextually discriminates reliable and unreliable sensor data at the edge server via numerical metrics. The reliability metrics provides an alternative in which rather than dumping the whole data in cloud it process only unreliable data with its computational service. Thus the data acquisition from sensor and processing based on edge node provides improvement in terms of reducing latency for reliable data. Further, instance of unreliability in data is processed with computational storage capacity and processing at cloud.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126662153","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 : 2021-11-11DOI: 10.1109/I-SMAC52330.2021.9640942
Shuai Shen
With the progress of the country and the development of Internet information technology, my country's e-commerce has achieved leapfrog development. On the one hand, it has strengthened the driving force of my country's economic development and promoted the sound and rapid development of the national economy. The entire training center can implement a series of business operation skills training from uploading, selling, outgoing, after-sales and related logistics of e-commerce products, and at the same time can help individuals start their own businesses and promote public employment. This paper studies the intelligent system construction of e-commerce training base based on logistics path visualization technology, and further analyzes the importance of e-commerce training system.
{"title":"Intelligent Construction System of E-Commerce Training Base Based on Logistics Path Visualization","authors":"Shuai Shen","doi":"10.1109/I-SMAC52330.2021.9640942","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9640942","url":null,"abstract":"With the progress of the country and the development of Internet information technology, my country's e-commerce has achieved leapfrog development. On the one hand, it has strengthened the driving force of my country's economic development and promoted the sound and rapid development of the national economy. The entire training center can implement a series of business operation skills training from uploading, selling, outgoing, after-sales and related logistics of e-commerce products, and at the same time can help individuals start their own businesses and promote public employment. This paper studies the intelligent system construction of e-commerce training base based on logistics path visualization technology, and further analyzes the importance of e-commerce training system.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114221048","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 : 2021-11-11DOI: 10.1109/I-SMAC52330.2021.9640695
Suhui Li
In recent years, the continuous development of data mining technology has penetrated into the real estate industry. Due to the accumulation of various types of data and information, it gradually forms a real estate data ocean. Data mining technology is the process of digging out unknown but useful knowledge and information for each of our decisions from a large amount of information. This will provide powerful technical support for real estate price prediction. Based on the data mining algorithm, this paper carries out the evolutionary optimization of real estate pricing, and studies the influence of different factors on real estate pricing.
{"title":"Research on Evolutionary Optimization Algorithm of Real Estate Pricing Based on Data Mining","authors":"Suhui Li","doi":"10.1109/I-SMAC52330.2021.9640695","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9640695","url":null,"abstract":"In recent years, the continuous development of data mining technology has penetrated into the real estate industry. Due to the accumulation of various types of data and information, it gradually forms a real estate data ocean. Data mining technology is the process of digging out unknown but useful knowledge and information for each of our decisions from a large amount of information. This will provide powerful technical support for real estate price prediction. Based on the data mining algorithm, this paper carries out the evolutionary optimization of real estate pricing, and studies the influence of different factors on real estate pricing.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122712735","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 : 2021-11-11DOI: 10.1109/I-SMAC52330.2021.9641058
D. S. Vijayan, S. Arvindan, V. Gokulnath, Kaarthik Manoharan
Internet of things (IoT) plays a vital role in present days in developing a sustainable environment. Due to overpopulation, which increases the pressure of using the vehicle on the road, IoT is the best technology to use resources and space effectively. IoT is friendly to the environment, energy efficiency, and public services. This proposed review article provides insight into the application of IoT in smart cities exclusively for traffic requirements. The article also discusses sensor technologies adopted for IoT applications. This paper provides valuable data to implement IoT in smart cities to enhance the technology development in the country.
{"title":"Applications of IoT in Smart Cities and Highways – A Review","authors":"D. S. Vijayan, S. Arvindan, V. Gokulnath, Kaarthik Manoharan","doi":"10.1109/I-SMAC52330.2021.9641058","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9641058","url":null,"abstract":"Internet of things (IoT) plays a vital role in present days in developing a sustainable environment. Due to overpopulation, which increases the pressure of using the vehicle on the road, IoT is the best technology to use resources and space effectively. IoT is friendly to the environment, energy efficiency, and public services. This proposed review article provides insight into the application of IoT in smart cities exclusively for traffic requirements. The article also discusses sensor technologies adopted for IoT applications. This paper provides valuable data to implement IoT in smart cities to enhance the technology development in the country.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121770192","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 : 2021-11-11DOI: 10.1109/I-SMAC52330.2021.9640957
Rocky S Upadhyay, P. Tanwar, S. Degadwala
Bones are used to construct the human body. Every movement of the body necessitates the support of both small and long bones. When a human body is subjected to significant weight or a potentially dangerous incident, this bone structure may provide numerous challenges. In this urgent situation, a timely and appropriate remedy is always recommended. There are many techniques which are available in medical world to solve it. In the advanced medical era, mostly use the digital way to resolve the fracture location that includes some manual support from human that may not be accurate sometimes. So, in order to overcome all of the issues that arise during the determination of fracture type and the subsequent process of identifying the location or locations, a digital system is required that not only assists the medical supervisor but also provides an accurate solution so that the medical supervisor can decide on further treatment for resolving fracture issues in the human body and return the situation to normal.
{"title":"Fracture Type Identification Using Extra Tree Classifier","authors":"Rocky S Upadhyay, P. Tanwar, S. Degadwala","doi":"10.1109/I-SMAC52330.2021.9640957","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9640957","url":null,"abstract":"Bones are used to construct the human body. Every movement of the body necessitates the support of both small and long bones. When a human body is subjected to significant weight or a potentially dangerous incident, this bone structure may provide numerous challenges. In this urgent situation, a timely and appropriate remedy is always recommended. There are many techniques which are available in medical world to solve it. In the advanced medical era, mostly use the digital way to resolve the fracture location that includes some manual support from human that may not be accurate sometimes. So, in order to overcome all of the issues that arise during the determination of fracture type and the subsequent process of identifying the location or locations, a digital system is required that not only assists the medical supervisor but also provides an accurate solution so that the medical supervisor can decide on further treatment for resolving fracture issues in the human body and return the situation to normal.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122246715","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 : 2021-11-11DOI: 10.1109/I-SMAC52330.2021.9640925
Rohitha Pasumarty, R. Praveen, Mahesh T R
People were anxious about the perils of cloud computing adaptation in the previous decade. It was a completely new concept that elevated many questions than it responded. We've been hearing more recently about the consequences of not using the cloud. Microsoft Azure, Amazon Web-Services (AWS), and Google Cloud-Platform (GCP), among others, have constructed complicated cloud systems that are operating the agenda of cloud and delivering innovative novel solutions to satisfy the requirements of modern enterprises. Hyperscale data centres are increasingly turning to specialist chips like GPUs (Graphics Processing-Units), FPGAs (Field-Programmable-Gating-Arrays), and ASICs when it comes to processors, which are at the heart of the cloud, it is also considered as the part of an AI (Artificial Intelligence) discovery process, thus a quantitative study on database server design has also been included. After analyzing and detailing different discovered methodologies and frameworks, this research work has developed a hybrid hardware framework for efficient AI applications.
{"title":"The Future of AI-enabled servers in the cloud- A Survey","authors":"Rohitha Pasumarty, R. Praveen, Mahesh T R","doi":"10.1109/I-SMAC52330.2021.9640925","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9640925","url":null,"abstract":"People were anxious about the perils of cloud computing adaptation in the previous decade. It was a completely new concept that elevated many questions than it responded. We've been hearing more recently about the consequences of not using the cloud. Microsoft Azure, Amazon Web-Services (AWS), and Google Cloud-Platform (GCP), among others, have constructed complicated cloud systems that are operating the agenda of cloud and delivering innovative novel solutions to satisfy the requirements of modern enterprises. Hyperscale data centres are increasingly turning to specialist chips like GPUs (Graphics Processing-Units), FPGAs (Field-Programmable-Gating-Arrays), and ASICs when it comes to processors, which are at the heart of the cloud, it is also considered as the part of an AI (Artificial Intelligence) discovery process, thus a quantitative study on database server design has also been included. After analyzing and detailing different discovered methodologies and frameworks, this research work has developed a hybrid hardware framework for efficient AI applications.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126227205","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 : 2021-11-11DOI: 10.1109/I-SMAC52330.2021.9640750
S. Routray, Laxmi Sharma, Anindita Sahoo, A. Javali, S. K P, Eisha Akanksha
Smart systems are now very much common in several applications. These systems are found in large numbers in our daily lives in the recent times. The current pandemic induced restrictions forced us to go for all kinds of smart systems which can provide both the comfort as well as the essential functions needed at the ground level. Classrooms are among the basic needs of the modern education system. There are several new developments in the commonly used technologies which can make the classrooms better and smarter. Digital technologies are the main front runners of these smart initiatives. Among these smart digital technologies, information and communication technologies (ICT) and immersive technologies are found to be the main enablers. This research study reviews the main technologies used for smart classrooms. Moreover, it has been shown that the smart classrooms are essential for the future generation. These smart classrooms can handle several limitations of the traditional classrooms. In addition to the typical teaching and learning processes, smart classrooms can provide value added services to the teachers, students and other stakeholders. Finally, this research work analyzes the long term value and sustainability of these smart classrooms.
{"title":"IoT and Immersive Technology based Smart Classrooms","authors":"S. Routray, Laxmi Sharma, Anindita Sahoo, A. Javali, S. K P, Eisha Akanksha","doi":"10.1109/I-SMAC52330.2021.9640750","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9640750","url":null,"abstract":"Smart systems are now very much common in several applications. These systems are found in large numbers in our daily lives in the recent times. The current pandemic induced restrictions forced us to go for all kinds of smart systems which can provide both the comfort as well as the essential functions needed at the ground level. Classrooms are among the basic needs of the modern education system. There are several new developments in the commonly used technologies which can make the classrooms better and smarter. Digital technologies are the main front runners of these smart initiatives. Among these smart digital technologies, information and communication technologies (ICT) and immersive technologies are found to be the main enablers. This research study reviews the main technologies used for smart classrooms. Moreover, it has been shown that the smart classrooms are essential for the future generation. These smart classrooms can handle several limitations of the traditional classrooms. In addition to the typical teaching and learning processes, smart classrooms can provide value added services to the teachers, students and other stakeholders. Finally, this research work analyzes the long term value and sustainability of these smart classrooms.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123071709","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 : 2021-11-11DOI: 10.1109/I-SMAC52330.2021.9641052
V. K. Prathyushaa, P. Chandrasekar, R. Anuradha
Western music notation converter is essential in the field of music for the conversion of music notes which are mostly in Western staff notation to its Carnatic music note equivalent. It is difficult for the Carnatic musicians and singers to have the music notes in the form of the corresponding Swaras in Carnatic music to comprehend them. Over the past few decades, researchers have built models that recognise handwritten musical notations called Optical Music Recognition (OMR) [9]. But, when researchers who are from a non-musical background work with digital representations, the task becomes tedious and a need for processing the images arises. Therefore, instead of relying on humans for conversion of notations, image processing models are used with the help of transfer learning and classification is done using 4 models, of which 3 are pre-trained, i.e., ResNet50, VGG19, InceptionV3 and one is a simple CNN model. The models provide competitive results when compared to human experts labelling of datasets.
{"title":"A Comparative Study of Image Classification Models for Western Notation to Carnatic Notation : Conversion of Western Music Notation to Carnatic Music Notation","authors":"V. K. Prathyushaa, P. Chandrasekar, R. Anuradha","doi":"10.1109/I-SMAC52330.2021.9641052","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9641052","url":null,"abstract":"Western music notation converter is essential in the field of music for the conversion of music notes which are mostly in Western staff notation to its Carnatic music note equivalent. It is difficult for the Carnatic musicians and singers to have the music notes in the form of the corresponding Swaras in Carnatic music to comprehend them. Over the past few decades, researchers have built models that recognise handwritten musical notations called Optical Music Recognition (OMR) [9]. But, when researchers who are from a non-musical background work with digital representations, the task becomes tedious and a need for processing the images arises. Therefore, instead of relying on humans for conversion of notations, image processing models are used with the help of transfer learning and classification is done using 4 models, of which 3 are pre-trained, i.e., ResNet50, VGG19, InceptionV3 and one is a simple CNN model. The models provide competitive results when compared to human experts labelling of datasets.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"187 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123398092","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 : 2021-11-11DOI: 10.1109/I-SMAC52330.2021.9641059
Shahida M, Sonam Choudhury, Vishnupriya Venugopal, Chinmayee Parhi, S. J
With an alarmingly increasing rate of air pollution levels and drop in the air quality due to various factors like increased demands in private transportation, need for more buildings, clearing of green patches due to booming population growth and the globalization reaching every corner of the world, the prevalence of asthma, especially in crowded cities with highly polluted air, has dramatically increased. There is a global peak in the number of people being a victim due to this chronic disease which blocks the airways of the lungs rendering them breathless. This can prove to be quite fatal if a person suffering from an asthma attack can’t get any help promptly, and hence the patients need constant monitoring. Consequently, a monitoring system that will be able to detect various factors such as high carbon dioxide levels in the air, increased humidity and temperature levels in the patient’s neighboring environment that triggers an asthma attack, in addition to monitoring the patient’s condition has become an important requirement. This paper presents a prototype of such a monitoring system that enables patients suffering from asthma or their care-takers to monitor the environment, keep an eye on the trigger factors and managing their medication, as well alerting the medics, in case of an emergency where the patient requires immediate attention as in case of a sudden asthma attack.
{"title":"A Smart Monitoring System for Asthma Patients using IoT","authors":"Shahida M, Sonam Choudhury, Vishnupriya Venugopal, Chinmayee Parhi, S. J","doi":"10.1109/I-SMAC52330.2021.9641059","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9641059","url":null,"abstract":"With an alarmingly increasing rate of air pollution levels and drop in the air quality due to various factors like increased demands in private transportation, need for more buildings, clearing of green patches due to booming population growth and the globalization reaching every corner of the world, the prevalence of asthma, especially in crowded cities with highly polluted air, has dramatically increased. There is a global peak in the number of people being a victim due to this chronic disease which blocks the airways of the lungs rendering them breathless. This can prove to be quite fatal if a person suffering from an asthma attack can’t get any help promptly, and hence the patients need constant monitoring. Consequently, a monitoring system that will be able to detect various factors such as high carbon dioxide levels in the air, increased humidity and temperature levels in the patient’s neighboring environment that triggers an asthma attack, in addition to monitoring the patient’s condition has become an important requirement. This paper presents a prototype of such a monitoring system that enables patients suffering from asthma or their care-takers to monitor the environment, keep an eye on the trigger factors and managing their medication, as well alerting the medics, in case of an emergency where the patient requires immediate attention as in case of a sudden asthma attack.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129207405","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 : 2021-11-11DOI: 10.1109/I-SMAC52330.2021.9640743
P. Charles, U. L. Stanislaus
Heuristic algorithms are used solve the VM consolidation. One of the well-known approaches to solve this issue is bin packing method. This method is considered as NP-hard. There are quite number of other heuristics algorithm available to address this issue. This problem can be handled effortlessly with one dimensional bin packing m. In Bin Packing there are few methods used to pack the empty bins efficiently. First Fit (FF) Bin packing algorithm is one of most popular and efficient method to pack the empty bins. Here, FF algorithm packs available items into first bin where it aptly accommodates. Best Fit algorithm places an item into a maximum load instead of placing in the first bin like First Fit algorithm. These two methods are enhanced by making small alteration in the algorithm which are named as First Fit Decreasing (FFD) method and Best Fit Decreasing (BFD) method. These methods could not be implemented straightaway for VM consolidation. This must me altered appropriately before applying for this issue. In addition, consider that physical machines (PM) don’t have any virtual machines (VM) before executing the migration algorithm and also the utilization of the datacenters is managed by the number of VM’s request and server’s request. The energy consumption of the VM’s is majorly considers the CPU utilization instead of bandwidth and memory. The authors concentrate on CPU utilization rate to minimize the energy consumption.
采用启发式算法解决虚拟机整合问题。解决这个问题的一个众所周知的方法是装箱法。这种方法被认为是NP-hard。还有很多其他的启发式算法可以解决这个问题。这个问题可以毫不费力地处理一维箱包装m。在箱包装中，很少有方法用来有效地包装空箱。首次拟合(First Fit, FF)装箱算法是目前最流行、最有效的空箱装箱方法之一。在这里，FF算法将可用的物品打包到第一个适合容纳的箱子中。最佳匹配算法将物品放入最大负载中，而不是像第一匹配算法那样放在第一个箱子中。这两种方法通过对算法进行小的修改而得到增强，分别被命名为First Fit reduction (FFD) method和Best Fit reduction (BFD) method。这些方法不能直接用于VM整合。在申请这个问题之前，我必须进行适当的修改。此外，在执行迁移算法之前，考虑物理机(PM)没有任何虚拟机(VM)，并且数据中心的利用率由VM请求的数量和服务器请求的数量来管理。虚拟机的能耗主要考虑的是CPU利用率，而不是带宽和内存。作者着重于CPU利用率，以尽量减少能耗。
{"title":"Secure Virtual Machine Migration using Ant Colony Algorithm","authors":"P. Charles, U. L. Stanislaus","doi":"10.1109/I-SMAC52330.2021.9640743","DOIUrl":"https://doi.org/10.1109/I-SMAC52330.2021.9640743","url":null,"abstract":"Heuristic algorithms are used solve the VM consolidation. One of the well-known approaches to solve this issue is bin packing method. This method is considered as NP-hard. There are quite number of other heuristics algorithm available to address this issue. This problem can be handled effortlessly with one dimensional bin packing m. In Bin Packing there are few methods used to pack the empty bins efficiently. First Fit (FF) Bin packing algorithm is one of most popular and efficient method to pack the empty bins. Here, FF algorithm packs available items into first bin where it aptly accommodates. Best Fit algorithm places an item into a maximum load instead of placing in the first bin like First Fit algorithm. These two methods are enhanced by making small alteration in the algorithm which are named as First Fit Decreasing (FFD) method and Best Fit Decreasing (BFD) method. These methods could not be implemented straightaway for VM consolidation. This must me altered appropriately before applying for this issue. In addition, consider that physical machines (PM) don’t have any virtual machines (VM) before executing the migration algorithm and also the utilization of the datacenters is managed by the number of VM’s request and server’s request. The energy consumption of the VM’s is majorly considers the CPU utilization instead of bandwidth and memory. The authors concentrate on CPU utilization rate to minimize the energy consumption.","PeriodicalId":178783,"journal":{"name":"2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123990600","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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