WEB TECHNOLOGY DEVELOPMENT AND DATA-INTENSIVE INFLUENCES ON SEMANTIC INFORMATION RETRIEVING BASED ON PARALLEL AND CLOUD COMPUTING
Cloud Computing is one of the most common methods of distributed computing because it can reduce computing costs as data processes are improved in scalability and versatility. However, as a consequence of the continued influx in knowledge, many companies drowned in data and the resultant "data deficit" or failure to process and efficiently use this information was growing at an unprecedented pace. Consequently, computer systems are getting more data-intensive due to the proliferation of data and the need to process the data and storage management of such data-intensive computing systems is crucial to the application efficiency. In this paper, we explain what cloud computing is, its types, characteristics, and challenges that cloud computing faces. Then we review what data-intensive technology is, what the architecture of data-intensive systems is, what the characteristics of these systems are, and what are the requirements of data-intensive technology for cloud computing. Then, we reviewed 20 of the related work on data intensive in cloud computing. Finally, we compared and discuss compare the most important techniques and algorithms and the results obtained from number of previous works.
Web Technology, Web Development, Data-Intensive, Semantic Web, Information Retrieving, Parallel Computing, Cloud Computing, Hadoop, HPCC, Map Reduce, Compute-intensive, Parallel Processing.