Loading...
Please wait, while we are loading the content...
Similar Documents
Big Data Computing Using Cloud-Based Technologies
| Content Provider | Scilit |
|---|---|
| Author | Khan, Samiya Shakil, Kashish A. Alam, Mansaf |
| Copyright Year | 2017 |
| Description | Book Name: Networks of the Future |
| Abstract | The excessive amounts of data generated by devices and Internet-based sources at a regular basis constitute big data. This data can be processed and analyzed to develop useful applications for specific domains. Several mathematical and data analytics techniques have found use in this sphere. This has given rise to the development of computing models and tools for big data computing. However, the storage and processing requirements are overwhelming for traditional systems and technologies. Therefore, there is a need for infrastructures that can adjust the storage and processing capability in accordance with the changing data dimensions. Cloud Computing serves as a potential solution to this problem. However, big data computing in the cloud has its own set of challenges and research issues. This chapter surveys the big data concept, discusses the mathematical and data analytics techniques that can be used for big data, and gives taxonomy of the existing tools, frameworks and platforms available for different big data computing models. Besides this, it also evaluates the viability of cloud-based big data computing, examines existing challenges and opportunities, and provides future research directions in this field. The excessive amounts of data generated by devices and Internet-based sources at a regular basis constitute big data. This data can be processed and analyzed to develop useful applications for specific domains. The advent of the Internet and rapidly increasing popularity of mobile and sensor technologies have led to an outburst of data in the systems and web world. This data explosion has posed several challenges to systems traditionally used for data storage and processing. Cloud-based big data analytics technology finds a place in future networks owing to the innumerable "traditionally unmanageable abilities and services" that this technology offers. From an organizational perspective, efficient decision-making can have a significant impact on improving the operational efficiency and productivity of the organization. Several definitions for big data exist owing to the varied perspectives and perceptions with which this concept is viewed and understood. |
| Related Links | https://content.taylorfrancis.com/books/download?dac=C2016-0-97364-6&isbn=9781315155517&doi=10.1201/9781315155517-19&format=pdf |
| Ending Page | 414 |
| Page Count | 22 |
| Starting Page | 393 |
| DOI | 10.1201/9781315155517-19 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2017-10-16 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Networks of the Future Decision Making Data Analytics Internet Technologies Big Data Data Generated Excessive Amounts Specific Domains Useful Applications |
| Content Type | Text |
| Resource Type | Chapter |
