Besides being an in-memory-oriented computing framework, Spark runs on top of Java
Virtual Machines (JVMs), so JVM parameters must be tuned to improve Spark application …

For many years, the highest energy cost in processing has been data movement rather than
computation, and energy is the limiting factor in processor design [21]. As the data needed …

Modern stream processing systems often rely on embedded key-value stores, like RocksDB,
to manage the state of long-running computations. Evaluating the performance of these …

Big Data is an ensemble of technologies founded on NoSQL databases that enable
scalability of volumes, numbers, and data types. NoSQL databases assert that their …

摘要大数据时代的到来意味着新技术, 新系统和新产品的出现. 如何客观地比较和评价不同系统
之间的优劣自然成为一个热门研究课题, 这种情形与三十多年前数据库系统蓬勃发展时甚为相似 …

Big data frameworks such as Apache Spark is becoming prominent to perform large-scale
data analytics jobs in various domains. However, due to limited resource availability, the …

Benchmarks play a very important role in accelerating the development and research of
CMP. As one of them, the PARSEC suite continues to be updated and revised over and over …

The world is entering the data revolution era. Along with the latest advancements of the
Internet, Artificial Intelligence (AI), mobile devices, autonomous driving, and Internet of …

Today's Internet Services are undergoing fundamental changes and shifting to an intelligent
computing era where AI is widely employed to augment services. In this context, many …

Abstract As Big Data processing often takes a long time and needs a lot of resources,
sampling and approximate computing techniques may be used to generate a desired …