This survey presents the concept of Big Data. Firstly, a definition and the features of Big Data
are given. Secondly, the different steps for Big Data data processing and the main problems …

Many business cases exploiting big data have been realised in recent years; Twitter,
LinkedIn, and Facebook are examples of companies in the social networking domain. Other …

Timely and cost-effective processing of large datasets has become a critical ingredient for
the success of many academic, government, and industrial organizations. The combination …

Pattern queries are widely used in complex event processing (CEP) systems. Existing
pattern matching techniques, however, can provide only limited performance for expensive …

Big data analytics is the process of examining large amounts of data (big data) in an effort to
uncover hidden patterns or unknown correlations. Big Data Analytics Applications (BDA …

MapReduce has emerged as a model of choice for supporting modern data-intensive
applications. The model is easy-to-use and promising in reducing time-to-solution. It is also …

Logging statements (embedded in the source code) produce logs that assist in
understanding system behavior, monitoring choke-points and debugging. Prior work …

To effectively manage large-scale data centers and utility clouds, operators must understand
current system and application behaviors. This requires continuous monitoring along with …

Developers use cloud computing platforms to process a large quantity of data in parallel
when developing big data analytics. Debugging the massive parallel computations that run …

Logging is a common practice in software engineering. Prior research has investigated the
characteristics of logging practices in system software (eg, web servers or databases) as …