IDENTIFY-BASED DYNAMIC DATA AUDITING FOR BIG DATA STORAGE

 Identity-based remote data auditing schemes can verify data integrity and provide a simple identity authentication and management for multiple users. However, prior works on identity-based remote data auditing lack the support of dynamic operations. In these schemes, tag generation is linked to the index of data block, which is related to update op...

ATTRACT RANK: DISTRICT ATTRACTION RANKING ANALYSIS BASED ON TAXI BIG DATA

 The city’s district attraction ranking plays an essential role in the city’s government because it can be used to reveal the city’s district attraction and thus help government make decisions for urban planning in terms of the smart city. The traditional methods for urban planning mainly rely on the district’s GDP, employment rate, population densi...

OSC An Online Self-Configuring Big Data Framework for Optimization of QoS (TC-2020-02-0128.R1)

 Big-data frameworks such as MapReduce/Hadoop or Spark have many performance-critical configuration parameters which may interact with each other in a complex way. Their optimal values for an application on a given cluster are affected by not only the application itself but also its input data. This makes offline auto-configuration approaches hard t...

High-Efficient Fuzzy Querying with HiveQL for Big Data Warehousing

 Querying and reporting from large volumes of structured, semi-structured, and unstructured data often requires some flexibility. This flexibility provided by fuzzy sets allows for categorization of the surrounding world in a flexible, human mind-like manner. Apache Hive is a data warehousing framework working on top of the Hadoop platform for Big D...

AutoDiagn An Automated Real time Diagnosis Framework for Big Data Systems

 Big data processing systems, such as Hadoop and Spark, usually work in large-scale, highly-concurrent, and multi-tenant environments that can easily cause hardware and software malfunctions or failures, thereby leading to performance degradation. Several systems and methods exist to detect big data processing systems’ performance degradation, perfo...