The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Data Mining for High Performance Computing
Abstract
With the development of information technology, the size of the dataset becomes larger and larger. Distributed data processing can be used to solve the problem of data analysis on large datasets. It partitions the dataset into a large number of subsets and uses different processors to store, manage, broadcast, and synchronize the data analysis. However, distributed computing gives rise to new problems such as the impracticality of global communication, global synchronization, dynamic topology changes of the network, on-the-fly data updates, the needs to share resources with other applications, frequent failures, and recovery of resource. In this chapter, the concepts of distributed computing are introduced, the latest research are presented, the advantage and disadvantage of different technologies and systems are analyzed, and the future trends of the distributed computing are summarized.
Related Content
Radhika Kavuri, Satya kiranmai Tadepalli.
© 2024.
19 pages.
|
Ramu Kuchipudi, Ramesh Babu Palamakula, T. Satyanarayana Murthy.
© 2024.
10 pages.
|
Nidhi Niraj Worah, Megharani Patil.
© 2024.
21 pages.
|
Vishal Goar, Nagendra Singh Yadav.
© 2024.
23 pages.
|
S. Boopathi.
© 2024.
24 pages.
|
Sai Samin Varma Pusapati.
© 2024.
25 pages.
|
Swapna Mudrakola, Krishna Keerthi Chennam, Shitharth Selvarajan.
© 2024.
11 pages.
|
|
|