Spark has become one of the main options for large-scale analytics running on top of shared-
nothing clusters. This work aims to make a deep dive into the parallelism configuration and …

Community networks (CNs) have gained momentum in the last few years with the increasing
number of spontaneously deployed WiFi hotspots and home networks. These networks …

Latency-sensitive and data-intensive applications, such as IoT or mobile services, are
leveraged by Edge computing, which extends the cloud ecosystem with distributed …

This survey article reviews the challenges associated with deploying and optimizing big data
applications and machine learning algorithms in cloud data centers and networks. The …

Cloud computing has emerged as one of the most important technological revolutions
globally. However, the rapid growth of cloud computing has imposed a massive financial …

With the continuous expansion of the scale of cloud datacenters, high energy consumption
has become a problem. Virtual machine (VM) consolidation is an effective method of energy …

Cloud Computing has revolutionized the software, platform and infrastructure provisioning.
Infrastructure-as-a-Service (IaaS) providers offer on-demand and configurable Virtual …

Distributed network architecture of heterogeneous computing faces with such problems as
strict performance constraints of network control, unpredictable mapping relationship …

Cloud computation is being pushed to the edge of the network, towards Micro-clouds, to
promote more energy efficiency and less latency when compared to heavy resourced …

We analyze time and energy performance of distributed computations in heterogeneous
systems with hierarchical memory. Different levels of memory hierarchy have different time …