… the main features of a powerful data management technology called big data so, this study
proposes an approach that uses a selfoptimization framework based on this technology [16]. …

… data analytics and optimization. Then, it identifies some data analytics and system optimization
… Then, parameter values for the mathematical model are obtained, and the self-learning of …

… Based on the operational data, we aim to optimize the system … optimization functions. The
main novelty of our artifacts is the seamless integration of self-adaptation with latest Big Data …

… provide handover optimization. In this paper, a method for handover selfoptimization is
introduced, including initialization of selfconfiguration of neighbor cell list and self-optimization to …

… In this paper, an efficient coverage of optimization scheme using big data analytics is proposed
for cellular networks. The proposed scheme can improve the coverage performance by …

… This motivates in situ data analytics in energy-constrained … data; and transmit data only
when required. This paper presents a camerabased wireless sensor node with a self-optimizing …

… an algorithm for optimizing a heterogeneous network using big data technology, which is …
scheme allows the optimization of the infrastructure to use both user and network data, which, …

… data analytics that can perform context-aware acquisition and processing of data; and transmit
data … We observe that the proposed self-optimizing system always tracks the minimum …

… A recent trend aims to tackle these pitfalls: instance-optimized systems are designed to
automatically self-adjust in order to achieve the best performance for a speci c use case, ie, a …

… -lifecycle-aware system goes beyond query execution to optimize the movement, storage,
and processing of big data during its entire lifecycle. The intelligence embedded in many Web …