Big Data has become a very popular term. It refers to the enormous amount of structured, semi-structured and unstructured data that are exponentially generated by high …
As architecture, systems, and data management communities pay greater attention to innovative big data systems and architecture, the pressure of benchmarking and evaluating …
Abstract Virtual Operations Support Teams (VOSTs) are a novel form of organized intelligence-gathering effort that has recently appeared in the emergency management and …
In this paper we introduce LDBC Graphalytics, a new industrial-grade benchmark for graph analysis platforms. It consists of six deterministic algorithms, standard datasets, synthetic …
R Han, LK John, J Zhan - IEEE Transactions on Services …, 2017 - ieeexplore.ieee.org
With the fast development of big data systems in recent years, a variety of open-source benchmarks have been built to evaluate and compare the workloads on these systems, and …
When considering popular On-line Social Networks (OSN) containing heterogeneous multimedia data sources, the complexity of the underlying processing systems becomes …
D Pandove, S Goel, R Rani - … on Knowledge Discovery from Data (TKDD …, 2018 - dl.acm.org
Technological advancement has enabled us to store and process huge amount of data in relatively short spans of time. The nature of data is rapidly changing, particularly its …
Big data benchmark suites must include a diversity of data and workloads to be useful in fairly evaluating big data systems and architectures. However, using truly comprehensive …
Emerging cyber-physical systems (CPS) field will impact on every activity of the daily life in the next few years With the increasing advances in ICT information communication …