An Efficient Log Data Management Architecture for Big Data Processing in Cloud Computing Environments

NoSQL databases are designed to meet the huge data storage requirements of cloud computing and big data processing. NoSQL databases have lots of advanced features in addition to the conventional RDBMS features. Hence, the “NoSQL” databases are popularly known as “Not only SQL” databases. A variety of NoSQL databases having different features to deal with exponentially growing data-intensive applications are available with open source and proprietary option. This chapter discusses some of the popular NoSQL databases and their features on the light of CAP theorem.

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Big Data Analytics in Cloud Computing

Advances in Computer and Electrical Engineering - Novel Practices and Trends in Grid and Cloud Computing ◽

10.4018/978-1-5225-9023-1.ch018 ◽

2019 ◽

pp. 325-341

Author(s):

Rajganesh Nagarajan ◽

Ramkumar Thirunavukarasu

Keyword(s):

Cloud Computing ◽

Big Data ◽

Data Processing ◽

Data Visualization ◽

Data Analytics ◽

Big Data Analytics ◽

Future Research ◽

Big Data Processing ◽

Investment Cost

In this chapter, the authors consider different categories of data, which are processed by the big data analytics tools. The challenges with respect to the big data processing are identified and a solution with the help of cloud computing is highlighted. Since the emergence of cloud computing is highly advocated because of its pay-per-use concept, the data processing tools can be effectively deployed within cloud computing and certainly reduce the investment cost. In addition, this chapter talks about the big data platforms, tools, and applications with data visualization concept. Finally, the applications of data analytics are discussed for future research.

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Trends and Technologies in Big Data Processing

Advances in Computational Intelligence and Robotics - Innovations, Algorithms, and Applications in Cognitive Informatics and Natural Intelligence ◽

10.4018/978-1-7998-3038-2.ch002 ◽

2020 ◽

pp. 17-42

Author(s):

Amitava Choudhury ◽

Kalpana Rangra

Keyword(s):

Cloud Computing ◽

Big Data ◽

Internet Of Things ◽

Data Processing ◽

Real Time ◽

Computing Technology ◽

Time Data ◽

Big Data Processing ◽

Real Time Data ◽

Real Time Data Processing

Data type and amount in human society is growing at an amazing speed, which is caused by emerging new services such as cloud computing, internet of things, and location-based services. The era of big data has arrived. As data has been a fundamental resource, how to manage and utilize big data better has attracted much attention. Especially with the development of the internet of things, how to process a large amount of real-time data has become a great challenge in research and applications. Recently, cloud computing technology has attracted much attention to high performance, but how to use cloud computing technology for large-scale real-time data processing has not been studied. In this chapter, various big data processing techniques are discussed.

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Job Allocation Mechanism for Battery Consumption Minimization of Cyber-Physical-Social Big Data Processing Based on Mobile Cloud Computing

IEEE Access ◽

10.1109/access.2018.2803730 ◽

2018 ◽

Vol 6 ◽

pp. 21769-21777 ◽

Cited By ~ 4

Author(s):

Gangman Yi ◽

Hyun-Woo Kim ◽

Jong Hyuk Park ◽

Young-Sik Jeong

Keyword(s):

Cloud Computing ◽

Big Data ◽

Data Processing ◽

Mobile Cloud Computing ◽

Mobile Cloud ◽

Allocation Mechanism ◽

Big Data Processing ◽

Job Allocation ◽

Social Big Data ◽

Battery Consumption

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Towards Economic Fairness for Big Data Processing in Pay-as-You-Go Cloud Computing

2014 IEEE 6th International Conference on Cloud Computing Technology and Science ◽

10.1109/cloudcom.2014.120 ◽

2014 ◽

Cited By ~ 6

Author(s):

Shanjiang Tang ◽

Bu-Sung Lee ◽

Bingsheng He

Keyword(s):

Cloud Computing ◽

Big Data ◽

Data Processing ◽

Big Data Processing ◽

Economic Fairness

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Resource Provisioning and Scheduling of Big Data Processing Jobs

Advances in Data Mining and Database Management - Handbook of Research on Big Data Storage and Visualization Techniques ◽

10.4018/978-1-5225-3142-5.ch014 ◽

2018 ◽

pp. 382-401

Author(s):

Rajni Aron ◽

Deepak Kumar Aggarwal

Keyword(s):

Cloud Computing ◽

Big Data ◽

Data Processing ◽

Research Area ◽

Resource Provisioning ◽

Time Data ◽

Big Data Processing ◽

Cloud Resource Management ◽

Big Data Applications ◽

Cloud Resource

Cloud Computing has become a buzzword in the IT industry. Cloud Computing which provides inexpensive computing resources on the pay-as-you-go basis is promptly gaining momentum as a substitute for traditional Information Technology (IT) based organizations. Therefore, the increased utilization of Clouds makes an execution of Big Data processing jobs a vital research area. As more and more users have started to store/process their real-time data in Cloud environments, Resource Provisioning and Scheduling of Big Data processing jobs becomes a key element of consideration for efficient execution of Big Data applications. This chapter discusses the fundamental concepts supporting Cloud Computing & Big Data terms and the relationship between them. This chapter will help researchers find the important characteristics of Cloud Resource Management Systems to handle Big Data processing jobs and will also help to select the most suitable technique for processing Big Data jobs in Cloud Computing environment.

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