This document provides an overview and comparative analysis of the K-Means++ and Mini Batch K-Means clustering algorithms in cloud computing using MapReduce. It first introduces cloud computing and its advantages for processing big data using Hadoop MapReduce. It then discusses the K-Means++ algorithm as an improved version of the standard K-Means algorithm that initializes cluster centroids more intelligently. Finally, it compares the performance of K-Means++ and Mini Batch K-Means when implemented using MapReduce for large-scale clustering in cloud environments.
We are in the age of big data which involves collection of large datasets.Managing and processing large data sets is difficult with existing traditional database systems.Hadoop and Map Reduce has become one of the most powerful and popular tools for big data processing . Hadoop Map Reduce a powerful programming model is used for analyzing large set of data with parallelization, fault tolerance and load balancing and other features are it is elastic,scalable,efficient.MapReduce with cloud is combined to form a framework for storage, processing and analysis of massive machine maintenance data in a cloud computing environment.
Today’s era is generally treated as the era of data on each and every field of computing application huge amount of data is generated. The society is gradually more dependent on computers so large amount of data is generated in each and every second which is either in structured format, unstructured format or semi structured format. These huge amount of data are generally treated as big data. To analyze big data is a biggest challenge in current world. Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage and it generally follows horizontal processing. Map Reduce programming is generally run over Hadoop Framework and process the large amount of structured and unstructured data. This Paper describes about different joining strategies used in Map reduce programming to combine the data of two files in Hadoop Framework and also discusses the skewness problem associate to it.
Energy Saving by Migrating Virtual Machine to Green Cloud Computingijtsrd
Green computing is characterized as the examination and practice of structuring, assembling, utilizing, and discarding PCs, servers, and related subsystems, for example, screens, printers, storage gadgets, and systems administration and interchanges frameworks proficiently and successfully with negligible or no effect on the earth. The objective of green computing is to diminish the utilization of hazardous materials, amplify energy proficiency during the items lifetime, and advance the recyclability of obsolete items and factory waste. Green computing can be accomplished by either Product Longevity Resource distribution or Virtualization or Power management. power is the bottleneck of improving the system execution. Among all industries, the information communication technology ICT industry is seemingly answerable for a bigger segment of the overall development in energy utilization. The objective of green cloud computing is to advance the recyclability or biodegradability of outdated items and factory waste by diminishing the utilization of hazardous materials and amplifying the energy productivity during the items lifetime. Stephen Fernandes "Energy Saving by Migrating Virtual Machine to Green Cloud Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30422.pdf Paper Url :https://www.ijtsrd.com/computer-science/distributed-computing/30422/energy-saving-by-migrating-virtual-machine-to-green-cloud-computing/stephen-fernandes
We are in the age of big data which involves collection of large datasets.Managing and processing large data sets is difficult with existing traditional database systems.Hadoop and Map Reduce has become one of the most powerful and popular tools for big data processing . Hadoop Map Reduce a powerful programming model is used for analyzing large set of data with parallelization, fault tolerance and load balancing and other features are it is elastic,scalable,efficient.MapReduce with cloud is combined to form a framework for storage, processing and analysis of massive machine maintenance data in a cloud computing environment.
Today’s era is generally treated as the era of data on each and every field of computing application huge amount of data is generated. The society is gradually more dependent on computers so large amount of data is generated in each and every second which is either in structured format, unstructured format or semi structured format. These huge amount of data are generally treated as big data. To analyze big data is a biggest challenge in current world. Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage and it generally follows horizontal processing. Map Reduce programming is generally run over Hadoop Framework and process the large amount of structured and unstructured data. This Paper describes about different joining strategies used in Map reduce programming to combine the data of two files in Hadoop Framework and also discusses the skewness problem associate to it.
Energy Saving by Migrating Virtual Machine to Green Cloud Computingijtsrd
Green computing is characterized as the examination and practice of structuring, assembling, utilizing, and discarding PCs, servers, and related subsystems, for example, screens, printers, storage gadgets, and systems administration and interchanges frameworks proficiently and successfully with negligible or no effect on the earth. The objective of green computing is to diminish the utilization of hazardous materials, amplify energy proficiency during the items lifetime, and advance the recyclability of obsolete items and factory waste. Green computing can be accomplished by either Product Longevity Resource distribution or Virtualization or Power management. power is the bottleneck of improving the system execution. Among all industries, the information communication technology ICT industry is seemingly answerable for a bigger segment of the overall development in energy utilization. The objective of green cloud computing is to advance the recyclability or biodegradability of outdated items and factory waste by diminishing the utilization of hazardous materials and amplifying the energy productivity during the items lifetime. Stephen Fernandes "Energy Saving by Migrating Virtual Machine to Green Cloud Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30422.pdf Paper Url :https://www.ijtsrd.com/computer-science/distributed-computing/30422/energy-saving-by-migrating-virtual-machine-to-green-cloud-computing/stephen-fernandes
Performance evaluation of Map-reduce jar pig hive and spark with machine lear...IJECEIAES
Big data is the biggest challenges as we need huge processing power system and good algorithms to make a decision. We need Hadoop environment with pig hive, machine learning and hadoopecosystem components. The data comes from industries. Many devices around us and sensor, and from social media sites. According to McKinsey There will be a shortage of 15000000 big data professionals by the end of 2020. There are lots of technologies to solve the problem of big data Storage and processing. Such technologies are Apache Hadoop, Apache Spark, Apache Kafka, and many more. Here we analyse the processing speed for the 4GB data on cloudx lab with Hadoop mapreduce with varing mappers and reducers and with pig script and Hive querries and spark environment along with machine learning technology and from the results we can say that machine learning with Hadoop will enhance the processing performance along with with spark, and also we can say that spark is better than Hadoop mapreduce pig and hive, spark with hive and machine learning will be the best performance enhanced compared with pig and hive, Hadoop mapreduce jar.
The concept of Genetic algorithm is specifically useful in load balancing for best virtual
machines distribution across servers. In this paper, we focus on load balancing and also on
efficient use of resources to reduce the energy consumption without degrading cloud
performance. Cloud computing is an on demand service in which shared resources, information,
software and other devices are provided according to the clients requirement at specific time. It‟s
a term which is generally used in case of Internet. The whole Internet can be viewed as a cloud.
Capital and operational costs can be cut using cloud computing. Cloud computing is defined as a
large scale distributed computing paradigm that is driven by economics of scale in which a pool
of abstracted virtualized dynamically scalable , managed computing power ,storage , platforms
and services are delivered on demand to external customer over the internet. cloud computing is
a recent field in the computational intelligence techniques which aims at surmounting the
computational complexity and provides dynamically services using very large scalable and
virtualized resources over the Internet. It is defined as a distributed system containing a
collection of computing and communication resources located in distributed data enters which
are shared by several end users. It has widely been adopted by the industry, though there are
many existing issues like Load Balancing, Virtual Machine Migration, Server Consolidation,
Energy Management, etc.
Efficient and reliable hybrid cloud architecture for big databaseijccsa
The objective of our paper is to propose a Cloud computing framework which is feasible and necessary for
handling huge data. In our prototype system we considered national ID database structure of Bangladesh
which is prepared by election commission of Bangladesh. Using this database we propose an interactive
graphical user interface for Bangladeshi People Search (BDPS) that use a hybrid structure of cloud
computing handled by apache Hadoop where database is implemented by HiveQL. The infrastructure
divides into two parts: locally hosted cloud which is based on “Eucalyptus” and the remote cloud which is
implemented on well-known Amazon Web Service (AWS). Some common problems of Bangladesh aspect
which includes data traffic congestion, server time out and server down issue is also discussed.
Energy Saving by Virtual Machine Migration in Green Cloud Computingijtsrd
Nowadays the innovations have turned out to be so quick and advanced that enormous all big enterprises have to go for cloud. Cloud provides wide range of services, from high performance computing to storage. Datacenter consisting of servers, network, wires, cooling systems etc. is very important part of cloud as it carries various business information onto the servers. Cloud computing is widely used for large data centers but it causes very serious issues to environment such as heat emission, heavy consumption of energy, release of toxic gases like methane, nitrous oxide, carbon dioxide, etc. High energy consumption leads to high operational cost as well as low profit. So we required Green cloud computing, which very environment friendly and energy efficient version of the cloud computing. In this paper the major issues related to cloud computing is discussed. And the various techniques used to minimize the power consumption are also discussed. Ruhi D. Viroja | Dharmendra H. Viroja"Energy Saving by Virtual Machine Migration in Green Cloud Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-1 , December 2016, URL: http://www.ijtsrd.com/papers/ijtsrd104.pdf http://www.ijtsrd.com/engineering/computer-engineering/104/energy-saving-by-virtual-machine-migration-in-green-cloud-computing/ruhi-d-viroja
Opportunistic job sharing for mobile cloud computingijccsa
Cloud Computing is the evolution of new business era which is covered with many of technologies.These
technology are taking advantage of economies of scale and multi tenancy which are used to decrees the
cost of information technology resources. Many of the organization are eager to reduce their computing
cost through the means of virtualization. This demand of reducing the computing cost and time has led to
the innovation of Cloud Computing. Itenhanced computing through improved deployment and
infrastructure costs and processing time. Mobile computing & its applications in smart phones enable a
new, rich user experience. Due to extreme usage of limited resources in smart phones it create problems
which are battery problems, memory space and CPU. To solve this problem, we propose a dynamic mobile
cloud computing architecture framework to use global resources instead of local resources. In this
proposed framework the usefulness of job sharing workload at runtime reduces the load at the local client
and the dynamic throughput time of the job through Wi-Fi Connectivity.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
A review on serverless architectures - function as a service (FaaS) in cloud ...TELKOMNIKA JOURNAL
Emergence of cloud computing as the inevitable IT computing paradigm, the perception of the compute reference model and building of services has evolved into new dimensions. Serverless computing is an execution model in which the cloud service provider dynamically manages the allocation of compute resources of the server. The consumer is billed for the actual volume of resources consumed by them, instead paying for the pre-purchased units of compute capacity. This model evolved as a way to achieve optimum cost, minimum configuration overheads, and increases the application's ability to scale in the cloud. The prospective of the serverless compute model is well conceived by the major cloud service providers and reflected in the adoption of serverless computing paradigm. This review paper presents a comprehensive study on serverless computing architecture and also extends an experimentation of the working principle of serverless computing reference model adapted by AWS Lambda. The various research avenues in serverless computing are identified and presented.
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
Disaster Recovery in Business Continuity Managementijtsrd
Cloud computing is internet based computing technique where in systems are interconnected with sharing resources through every different. At present, every organization generates in huge volume of data in digital format that required the secure storage services. Data backup and Disaster Recovery Business Continuity issues are becoming fundamental in networks since the importance and social value of digital data is continuously increasing. Organization requires a Business Continuity Plan BCP or Disaster Recovery Plan DRP and data backup which falls within the cost constraints while achieving the target recovery requirements in terms of recovery time objective RTO and recovery point objective RPO .Site recovery contributes to your business continuity and disaster recovery BCDR strategy, by orchestrating and automating replication of azure VMs between regions, on premises Virtual Machines and physical servers to azure, and on premises machines to a secondary datacenter. The proposed system provides an extensive disaster recovery management using Microsoft Azure Recovery Vault Service. A back up is process on daily basis. Which helps to Small And Medium Sized Enterprises SMEs to cut down their costs on expensive IT infrastructure and reduce the burden on IT environment. Jay S Patel | Keerthana V ""Disaster Recovery in Business Continuity Management"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23607.pdf
Paper URL: https://www.ijtsrd.com/computer-science/real-time-computing/23607/disaster-recovery-in-business-continuity-management/jay-s-patel
Cloud computing is Internet based development and use of computer technology. It is a style of computing in which dynamically scalable and often virtualized resources are provided as a service over the Internet. Users need not have knowledge of, expertise in, or control over the technology infrastructure "in the cloud" that supports them. Cloud computing is a hot topic all over the world nowadays, through which customers can access information and computer power via a web browser. As the adoption and deployment of cloud computing increase, it is critical to evaluate the performance of cloud environments. Currently, modeling and simulation technology has become a useful and powerful tool in cloud computing research community to deal with these issues. Cloud simulators are required for cloud system testing to decrease the complexity and separate quality concerns. Cloud computing means saving and accessing the data over the internet instead of local storage. In this paper, we have provided a short review on the types, models and architecture of the cloud environment.
A computer cluster could be a group of joined computers, operating along closely so in several respects they type one laptop. The parts of a cluster area unit ordinarily, however not forever, connected to every different through quick native space networks. Clusters area unit typically deployed to enhance performance and or handiness over that provided by one laptop, whereas usually being far more cost efficient than single computers of comparable speed or accessibility.The major objective within the cluster is utilizing a bunch of process nodes therefore on complete the assigned job in an exceedingly minimum quantity of your time by operating hand in glove. the most and necessary strategy to realize such objective is by transferring the additional hundreds from busy nodes to idle nodes.In this paper weve presented style and of a cluster based framework . The cluster implementation involves the planning of a server named MCLUSTER that manages the configuring, resetting of cluster. Framework handles the generation of application mobile code and its distribution to appropriate client nodes. The consumer node receives and executes the mobile code that defines the distributed job submitted by MCLUSTER server and replies the results back. Trupti Bhor | Yogeshchandra Puranik "An Introduction to Cluster Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, URL: https://www.ijtsrd.compapers/ijtsrd42561.pdf Paper URL: https://www.ijtsrd.comengineering/computer-engineering/42561/an-introduction-to-cluster-computing/trupti-bhor
Performance evaluation of Map-reduce jar pig hive and spark with machine lear...IJECEIAES
Big data is the biggest challenges as we need huge processing power system and good algorithms to make a decision. We need Hadoop environment with pig hive, machine learning and hadoopecosystem components. The data comes from industries. Many devices around us and sensor, and from social media sites. According to McKinsey There will be a shortage of 15000000 big data professionals by the end of 2020. There are lots of technologies to solve the problem of big data Storage and processing. Such technologies are Apache Hadoop, Apache Spark, Apache Kafka, and many more. Here we analyse the processing speed for the 4GB data on cloudx lab with Hadoop mapreduce with varing mappers and reducers and with pig script and Hive querries and spark environment along with machine learning technology and from the results we can say that machine learning with Hadoop will enhance the processing performance along with with spark, and also we can say that spark is better than Hadoop mapreduce pig and hive, spark with hive and machine learning will be the best performance enhanced compared with pig and hive, Hadoop mapreduce jar.
The concept of Genetic algorithm is specifically useful in load balancing for best virtual
machines distribution across servers. In this paper, we focus on load balancing and also on
efficient use of resources to reduce the energy consumption without degrading cloud
performance. Cloud computing is an on demand service in which shared resources, information,
software and other devices are provided according to the clients requirement at specific time. It‟s
a term which is generally used in case of Internet. The whole Internet can be viewed as a cloud.
Capital and operational costs can be cut using cloud computing. Cloud computing is defined as a
large scale distributed computing paradigm that is driven by economics of scale in which a pool
of abstracted virtualized dynamically scalable , managed computing power ,storage , platforms
and services are delivered on demand to external customer over the internet. cloud computing is
a recent field in the computational intelligence techniques which aims at surmounting the
computational complexity and provides dynamically services using very large scalable and
virtualized resources over the Internet. It is defined as a distributed system containing a
collection of computing and communication resources located in distributed data enters which
are shared by several end users. It has widely been adopted by the industry, though there are
many existing issues like Load Balancing, Virtual Machine Migration, Server Consolidation,
Energy Management, etc.
Efficient and reliable hybrid cloud architecture for big databaseijccsa
The objective of our paper is to propose a Cloud computing framework which is feasible and necessary for
handling huge data. In our prototype system we considered national ID database structure of Bangladesh
which is prepared by election commission of Bangladesh. Using this database we propose an interactive
graphical user interface for Bangladeshi People Search (BDPS) that use a hybrid structure of cloud
computing handled by apache Hadoop where database is implemented by HiveQL. The infrastructure
divides into two parts: locally hosted cloud which is based on “Eucalyptus” and the remote cloud which is
implemented on well-known Amazon Web Service (AWS). Some common problems of Bangladesh aspect
which includes data traffic congestion, server time out and server down issue is also discussed.
Energy Saving by Virtual Machine Migration in Green Cloud Computingijtsrd
Nowadays the innovations have turned out to be so quick and advanced that enormous all big enterprises have to go for cloud. Cloud provides wide range of services, from high performance computing to storage. Datacenter consisting of servers, network, wires, cooling systems etc. is very important part of cloud as it carries various business information onto the servers. Cloud computing is widely used for large data centers but it causes very serious issues to environment such as heat emission, heavy consumption of energy, release of toxic gases like methane, nitrous oxide, carbon dioxide, etc. High energy consumption leads to high operational cost as well as low profit. So we required Green cloud computing, which very environment friendly and energy efficient version of the cloud computing. In this paper the major issues related to cloud computing is discussed. And the various techniques used to minimize the power consumption are also discussed. Ruhi D. Viroja | Dharmendra H. Viroja"Energy Saving by Virtual Machine Migration in Green Cloud Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-1 , December 2016, URL: http://www.ijtsrd.com/papers/ijtsrd104.pdf http://www.ijtsrd.com/engineering/computer-engineering/104/energy-saving-by-virtual-machine-migration-in-green-cloud-computing/ruhi-d-viroja
Opportunistic job sharing for mobile cloud computingijccsa
Cloud Computing is the evolution of new business era which is covered with many of technologies.These
technology are taking advantage of economies of scale and multi tenancy which are used to decrees the
cost of information technology resources. Many of the organization are eager to reduce their computing
cost through the means of virtualization. This demand of reducing the computing cost and time has led to
the innovation of Cloud Computing. Itenhanced computing through improved deployment and
infrastructure costs and processing time. Mobile computing & its applications in smart phones enable a
new, rich user experience. Due to extreme usage of limited resources in smart phones it create problems
which are battery problems, memory space and CPU. To solve this problem, we propose a dynamic mobile
cloud computing architecture framework to use global resources instead of local resources. In this
proposed framework the usefulness of job sharing workload at runtime reduces the load at the local client
and the dynamic throughput time of the job through Wi-Fi Connectivity.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
A review on serverless architectures - function as a service (FaaS) in cloud ...TELKOMNIKA JOURNAL
Emergence of cloud computing as the inevitable IT computing paradigm, the perception of the compute reference model and building of services has evolved into new dimensions. Serverless computing is an execution model in which the cloud service provider dynamically manages the allocation of compute resources of the server. The consumer is billed for the actual volume of resources consumed by them, instead paying for the pre-purchased units of compute capacity. This model evolved as a way to achieve optimum cost, minimum configuration overheads, and increases the application's ability to scale in the cloud. The prospective of the serverless compute model is well conceived by the major cloud service providers and reflected in the adoption of serverless computing paradigm. This review paper presents a comprehensive study on serverless computing architecture and also extends an experimentation of the working principle of serverless computing reference model adapted by AWS Lambda. The various research avenues in serverless computing are identified and presented.
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
Disaster Recovery in Business Continuity Managementijtsrd
Cloud computing is internet based computing technique where in systems are interconnected with sharing resources through every different. At present, every organization generates in huge volume of data in digital format that required the secure storage services. Data backup and Disaster Recovery Business Continuity issues are becoming fundamental in networks since the importance and social value of digital data is continuously increasing. Organization requires a Business Continuity Plan BCP or Disaster Recovery Plan DRP and data backup which falls within the cost constraints while achieving the target recovery requirements in terms of recovery time objective RTO and recovery point objective RPO .Site recovery contributes to your business continuity and disaster recovery BCDR strategy, by orchestrating and automating replication of azure VMs between regions, on premises Virtual Machines and physical servers to azure, and on premises machines to a secondary datacenter. The proposed system provides an extensive disaster recovery management using Microsoft Azure Recovery Vault Service. A back up is process on daily basis. Which helps to Small And Medium Sized Enterprises SMEs to cut down their costs on expensive IT infrastructure and reduce the burden on IT environment. Jay S Patel | Keerthana V ""Disaster Recovery in Business Continuity Management"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23607.pdf
Paper URL: https://www.ijtsrd.com/computer-science/real-time-computing/23607/disaster-recovery-in-business-continuity-management/jay-s-patel
Cloud computing is Internet based development and use of computer technology. It is a style of computing in which dynamically scalable and often virtualized resources are provided as a service over the Internet. Users need not have knowledge of, expertise in, or control over the technology infrastructure "in the cloud" that supports them. Cloud computing is a hot topic all over the world nowadays, through which customers can access information and computer power via a web browser. As the adoption and deployment of cloud computing increase, it is critical to evaluate the performance of cloud environments. Currently, modeling and simulation technology has become a useful and powerful tool in cloud computing research community to deal with these issues. Cloud simulators are required for cloud system testing to decrease the complexity and separate quality concerns. Cloud computing means saving and accessing the data over the internet instead of local storage. In this paper, we have provided a short review on the types, models and architecture of the cloud environment.
A computer cluster could be a group of joined computers, operating along closely so in several respects they type one laptop. The parts of a cluster area unit ordinarily, however not forever, connected to every different through quick native space networks. Clusters area unit typically deployed to enhance performance and or handiness over that provided by one laptop, whereas usually being far more cost efficient than single computers of comparable speed or accessibility.The major objective within the cluster is utilizing a bunch of process nodes therefore on complete the assigned job in an exceedingly minimum quantity of your time by operating hand in glove. the most and necessary strategy to realize such objective is by transferring the additional hundreds from busy nodes to idle nodes.In this paper weve presented style and of a cluster based framework . The cluster implementation involves the planning of a server named MCLUSTER that manages the configuring, resetting of cluster. Framework handles the generation of application mobile code and its distribution to appropriate client nodes. The consumer node receives and executes the mobile code that defines the distributed job submitted by MCLUSTER server and replies the results back. Trupti Bhor | Yogeshchandra Puranik "An Introduction to Cluster Computing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, URL: https://www.ijtsrd.compapers/ijtsrd42561.pdf Paper URL: https://www.ijtsrd.comengineering/computer-engineering/42561/an-introduction-to-cluster-computing/trupti-bhor
A Survey on Cloud Computing Security Issues, Vendor Evaluation and Selection ...Eswar Publications
Cloud computing is an emerging technology which could replace long-established IT systems. Cloud computing made big strides forward in 2013, and if a host of industry experts proves correct, it will make even bigger advances in 2014. As Forbes, CxoToday, GigaOM, and other news services that cover technology report, the experts forecast many more companies joining clouds or creating their own; new professional services emerging to manage the clouds and the data within them; and the clouds’ expansion transforming IT and work life in general trough out the world. Cloud computing makes it possible for an organizations’ IT to be more malleable,
save costs and process information and data faster than with long-established IT. Cloud computing is the operating of programs and storage of data and files in an online network, not on physical disks and hardware’s. Cloud computing arises from the IT technicians desire to add another layer of separation in processing information. Cloud Vendor Evaluation & Selection offering leverages the database to accelerate the identification and screening of candidate vendors in four-step vendor evaluation and selection process.
A PROPOSED MODEL FOR IMPROVING PERFORMANCE AND REDUCING COSTS OF IT THROUGH C...ijccsa
Information technologies are affecting the big business enterprises of todays from data processing and
transactions to achieve the goals efficiently and effectively, affecting creates new business opportunities
and towards new competitive advantage, service must be enough to match the recent trends of IT such as
cloud computing. Cloud computing technology has provided all IT services. Therefore, cloud computing
offers an alternative to adaptable with technology model current , creating reducing cost (Fixed costs and
ongoing), the proliferation of high speed Internet connections through Rent, not acquisitions, cheaper
powerful computing technology and effective performance. The public and private clouds are characterized
by flexibility, operational efficiency that reduces costs improve performance. Also cloud computing
generates business creativity and innovation resulted from collaborative ideas of users; presents cloud
infrastructure and services; paving new markets; offering security in public and private clouds; and
providing environmental impact regarding utilizing green energy technology. In this paper, the main
concentrate the cloud computing.
A Proposed Model for Improving Performance and Reducing Costs of IT Through C...neirew J
Information technologies are affecting the big business enterprises of todays from data processing and
transactions to achieve the goals efficiently and effectively, affecting creates new business opportunities
and towards new competitive advantage, service must be enough to match the recent trends of IT such as
cloud computing. Cloud computing technology has provided all IT services. Therefore, cloud computing
offers an alternative to adaptable with technology model current , creating reducing cost (Fixed costs and
ongoing), the proliferation of high speed Internet connections through Rent, not acquisitions, cheaper
powerful computing technology and effective performance. The public and private clouds are characterized
by flexibility, operational efficiency that reduces costs improve performance. Also cloud computing
generates business creativity and innovation resulted from collaborative ideas of users; presents cloud
infrastructure and services; paving new markets; offering security in public and private clouds; and
providing environmental impact regarding utilizing green energy technology. In this paper, the main
concentrate the cloud computing.
Building a Big Data platform with the Hadoop ecosystemGregg Barrett
This presentation provides a brief insight into a Big Data platform using the Hadoop ecosystem.
To this end the presentation will touch on:
-views of the Big Data ecosystem and it’s components
-an example of a Hadoop cluster
-considerations when selecting a Hadoop distribution
-some of the Hadoop distributions available
-a recommended Hadoop distribution
LARGE-SCALE DATA PROCESSING USING MAPREDUCE IN CLOUD COMPUTING ENVIRONMENTijwscjournal
The computer industry is being challenged to develop methods and techniques for affordable data processing on large datasets at optimum response times. The technical challenges in dealing with the increasing demand to handle vast quantities of data is daunting and on the rise. One of the recent processing models with a more efficient and intuitive solution to rapidly process large amount of data in parallel is called MapReduce. It is a framework defining a template approach of programming to perform large-scale data computation on clusters of machines in a cloud computing environment. MapReduce provides automatic parallelization and distribution of computation based on several processors. It hides the complexity of writing parallel and distributed programming code. This paper provides a comprehensive systematic review and analysis of large-scale dataset processing and dataset handling challenges and
requirements in a cloud computing environment by using the MapReduce framework and its open-source implementation Hadoop. We defined requirements for MapReduce systems to perform large-scale data processing. We also proposed the MapReduce framework and one implementation of this framework on Amazon Web Services. At the end of the paper, we presented an experimentation of running MapReduce
system in a cloud environment. This paper outlines one of the best techniques to process large datasets is MapReduce; it also can help developers to do parallel and distributed computation in a cloud environment.
Review and Classification of Cloud Computing Researchiosrjce
IOSR journal of VLSI and Signal Processing (IOSRJVSP) is a double blind peer reviewed International Journal that publishes articles which contribute new results in all areas of VLSI Design & Signal Processing. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on advanced VLSI Design & Signal Processing concepts and establishing new collaborations in these areas.
Design and realization of microelectronic systems using VLSI/ULSI technologies require close collaboration among scientists and engineers in the fields of systems architecture, logic and circuit design, chips and wafer fabrication, packaging, testing and systems applications. Generation of specifications, design and verification must be performed at all abstraction levels, including the system, register-transfer, logic, circuit, transistor and process levels
A SCRUTINY TO ATTACK ISSUES AND SECURITY CHALLENGES IN CLOUD COMPUTINGijasa
Cloud computing is an anthology in which one or more computers are connected in a network. Cloud computing is a cluster of lattice computing, autonomic computing and utility computing. Cloud provides an on demand services to the users. Many numbers of users access the cloud to utilize the cloud resources. The security is one the major problem in cloud computing. Hence security is a major issue in cloud computing. Providing security is a major requirement of cloud computing. The study enclose all the security issues and attack issues in cloud computing.
A SCRUTINY TO ATTACK ISSUES AND SECURITY CHALLENGES IN CLOUD COMPUTINGijasa
Cloud computing is an anthology in which one or more computers are connected in a network. Cloud
computing is a cluster of lattice computing, autonomic computing and utility computing. Cloud provides an
on demand services to the users. Many numbers of users access the cloud to utilize the cloud resources.
The security is one the major problem in cloud computing. Hence security is a major issue in cloud
computing. Providing security is a major requirement of cloud computing. The study enclose all the
security issues and attack issues in cloud computing.
International Journal of Computer Science & Information Technology (IJCSIT) ijcsit
Recently, organizations have shown more interest in cloud computing because of the many advantages they
provide (cost savings, storage capacity, scalability, and speed of loading). Enterprise resource planning
(ERP) systems are one of the most important systems that have been upgraded to cloud computing. In this
thesis, we focus on cloud ERP interoperability, which is an important challenge in cloud ERP.
Interoperability is the ability of different components to work in independent clouds with no or minimum
user effort. More than 20% of the risk rate of cloud adoption is caused by interoperability. Thus, we
propose web services as a solution for cloud ERP interoperability. The proposed solution increases
interoperability between different cloud service providers and between cloud ERP systems with other
applications in a company.
Similar to IRJET- Comparatively Analysis on K-Means++ and Mini Batch K-Means Clustering Algorithm in Cloud Computing with Map Reduce (20)
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdfKamal Acharya
The College Bus Management system is completely developed by Visual Basic .NET Version. The application is connect with most secured database language MS SQL Server. The application is develop by using best combination of front-end and back-end languages. The application is totally design like flat user interface. This flat user interface is more attractive user interface in 2017. The application is gives more important to the system functionality. The application is to manage the student’s details, driver’s details, bus details, bus route details, bus fees details and more. The application has only one unit for admin. The admin can manage the entire application. The admin can login into the application by using username and password of the admin. The application is develop for big and small colleges. It is more user friendly for non-computer person. Even they can easily learn how to manage the application within hours. The application is more secure by the admin. The system will give an effective output for the VB.Net and SQL Server given as input to the system. The compiled java program given as input to the system, after scanning the program will generate different reports. The application generates the report for users. The admin can view and download the report of the data. The application deliver the excel format reports. Because, excel formatted reports is very easy to understand the income and expense of the college bus. This application is mainly develop for windows operating system users. In 2017, 73% of people enterprises are using windows operating system. So the application will easily install for all the windows operating system users. The application-developed size is very low. The application consumes very low space in disk. Therefore, the user can allocate very minimum local disk space for this application.
Event Management System Vb Net Project Report.pdfKamal Acharya
In present era, the scopes of information technology growing with a very fast .We do not see any are untouched from this industry. The scope of information technology has become wider includes: Business and industry. Household Business, Communication, Education, Entertainment, Science, Medicine, Engineering, Distance Learning, Weather Forecasting. Carrier Searching and so on.
My project named “Event Management System” is software that store and maintained all events coordinated in college. It also helpful to print related reports. My project will help to record the events coordinated by faculties with their Name, Event subject, date & details in an efficient & effective ways.
In my system we have to make a system by which a user can record all events coordinated by a particular faculty. In our proposed system some more featured are added which differs it from the existing system such as security.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Courier management system project report.pdfKamal Acharya
It is now-a-days very important for the people to send or receive articles like imported furniture, electronic items, gifts, business goods and the like. People depend vastly on different transport systems which mostly use the manual way of receiving and delivering the articles. There is no way to track the articles till they are received and there is no way to let the customer know what happened in transit, once he booked some articles. In such a situation, we need a system which completely computerizes the cargo activities including time to time tracking of the articles sent. This need is fulfilled by Courier Management System software which is online software for the cargo management people that enables them to receive the goods from a source and send them to a required destination and track their status from time to time.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Vaccine management system project report documentation..pdfKamal Acharya
The Division of Vaccine and Immunization is facing increasing difficulty monitoring vaccines and other commodities distribution once they have been distributed from the national stores. With the introduction of new vaccines, more challenges have been anticipated with this additions posing serious threat to the already over strained vaccine supply chain system in Kenya.