The performance of many networked applications improves when Round Trip Time (RTT) is
reduced. With lower RTTs, human-to-human interactions become more realistic, query …

Service-Oriented Computing (SOC) enables the composition of loosely coupled services
provided with varying Quality of Service (QoS) levels. Selecting a (near-) optimal set of …

Network latency prediction is important for server selection and quality-of-service estimation
in real-time applications on the Internet. Traditional network latency prediction schemes …

A recent trend in stream processing is offloading the computation of decomposable
aggregation functions (DAF) from cloud nodes to geo-distributed fog/edge devices to …

Service-Oriented Computing enables the composition of loosely coupled services provided
with varying Quality of Service (QoS) levels. Selecting a near-optimal set of services for a …

Online Matrix Factorization (OMF) is a fundamental tool for dictionary learning problems,
giving an approximate representation of complex data sets in terms of a reduced number of …

Data traffic demand increases at a very fast pace in edge networking environments, with
strict requisites on latency and throughput. To fulfil these requirements, among others, this …

A large number of distributed applications necessitate accurate network distance, for
example, in the form of delay or latency, to ensure the Quality of Service (QoS). Due to high …

Network latency plays an important role in the server-selection process as well as real-time
applications. Depending on the network system size, network latency can be either explicitly …

Online Tensor Factorization (OTF) is a fundamental tool in learning low-dimensional
interpretable features from streaming multi-modal data. While various algorithmic and …