Cloud computing has been widely used by the scientific community and in industry as users can benefit from computing infrastructures at low costs. Cloud computing’s adoption by industrial enterprises is increasing, however there are critical issues which require attention, such as security and trust, to ensure data integrity and confidentiality. There are also important issues that must be addressed in cloud computing, such as resource allocation and scheduling, performance, energy conservation, and reliability, protection of sensitive data, cost, availability, and quality of service. Effective management of cloud resources to balance power efficiency against system performance.
The term "big data" appears widely in science, business, biology, finance, etc. There are many big data applications and services, e.g. real-time systems monitoring, big healthcare data analytics, financial market activity monitoring. Appropriate systems and algorithms are required to deal efficiently with big data.
This thematic series presents state-of-the-art research covering concepts in cloud computing and big data, focused on the process of modelling, simulation and performance evaluation of these technologies.
Deepak Kumar Jain, Chongqing University of Posts and Telecommunications, China
Qin Xin, University of the Faroe Islands, Faroe Islands
Hong Lin, University of Houston Downtown, USA
Kehua Guo, School of Information Science and Engineering, Central South University Changsha, China