Big Data Security Challenges and Solution of Distributed Computing in Hadoop Environment: A Security FrameworkIn current scenario of internet, large amounts of data are generated and\nprocessed. Hadoop framework is widely used to store and process big data in a highly distributed\nmanner. It is ...
Conversely, distributed computing can work on numerous tasks simultaneously. Grid computing can also be defined as just one type of distributed computing. In addition, while grid computing typically has well-defined architectural components, distributed computing can have various architectures, such as gri...
Distributed computing refers to the use of multiple autonomous computers connected over a network to solve a common problem by distributing computation among the connected computers and communicating through message-passing. It is a broader technology that has been in use for more than three decades ...
Open challenges in data-intensive computing given by Ian Gorton et al. [74] are: • Scalable algorithms that can search and process massive datasets • New metadata management technologies that can scale to handle complex, heterogeneous, and distributed data sources • Advances in high-...
Nowadays applications generate enormous datasets that are continuously increasing exponentially in both complexity and volume, making their analysis, archival, and sharing one of the grand challenges of modern big data analytics. Supported by the rise of artificial intelligence and deep learning, such eno...
• We present related distributed intelligence challenges in the IoT, and categorize distributed intelligence approaches into different groups including: cloud-com- puting, mist-computing, distributed-ledger-technology, service-oriented-computing, and hybrid. SN Computer Science (2021) 2:277 Page 3 of...
Big DataGraph processing systemGraph partitioningDistributed computingOne of the concepts that attracts attention since entering of big data era is the graph-structured data. Suitable frameworks to handle such data would face several constraints, especially scalability, partitioning challenges, processing ...
The chapter covers the implementations of big data, along with methods and applications, including Hadoop, MapReduce, and HDFS. Chapter 9, Testing, Debugging, and Troubleshooting, explores how to test, debug, and troubleshoot distributed systems, and the different challenges in distributed computing....
In this section, we present the data associated with DCCS and its relationship to big data. In the beginning, we provide information about data sources, the varieties of data types, and formats in DCCS. Furthermore, we discuss various challenges that arise due to the heterogeneity of devices...
1. Cloud Database Technology Enhances Cost Efficiency for Enterprises Today, companies face unprecedented challenges and opportunities, with two primary goals in focus: enhancing ... OceanBase 4.3.3 Released | The first GA version for real-time analysis 2024-11-14 Product Oceanbase We are excited ...