BIG DATA IN CONSTRUCTION WASTE MANAGEMENT: PROSPECTS AND CHALLENGES

Task Scheduling in Big Data - Review, Research Challenges, and Prospects

In a Big data computing, the processing of data requires a large amount of CPU cycles and network bandwidth and disk I/O. Dataflow is a programming model for processing Big data which consists of tasks organized in a graph structure. Scheduling these tasks is one of the key active research areas which mainly aims to place the tasks on available resources. It is essential to effectively schedule...

Big Data Management Challenges in SUPERSEDE

Big Data Challenges in Application Performance Management

Many web companies deal with enormous data sizes and request rates beyond the capabilities of traditional database systems. This has led to the development of modern Web Data Platforms (WDPs). WDPs handle large amounts of data and activity through massively distributed infrastructures. To achieve performance and availability at Internet scale, WDPs restrict querying capability, and provide weak...

Big Data Efficiency, Information Waste and Lean Big Data Management: Lessons from the Smart Grid Implementation

Big data has become a popular buzzword today with the underlying assumption that bigger data is better. However, by its nature, big data comes with many challenges and environmental costs. In contrast to other research that has examined the benefits and costs of big data independently, our research-in-progress provides an integrated perspective. Theoretically, we draw on the perspective of lean...

Big Data in Supply Chain Management - Applications, Challenges and Benefits

This paper focuses on Big Data (BD) applications, challenges and benefits (ACBs) in Supply Chain Management (SCM). While BD-related research has attracted a growing number of Business Intelligence and Analytics (BI&A) researchers, SCM-specific research on BD is yet to receive their full attention. By combining relevant frameworks from SCM and BI&A, this paper proposes a new research framework f...