Performance Evaluation of Container Based Virtualization on Embedded Microprocessors (original) (raw)
The Journal of Supercomputing, 2018
With the incoming 5G access networks, it is forecasted that Fog Computing (FC) and Internet of Thing (IoT) will converge onto the Fog-of-IoT paradigm. Since the FC paradigm spreads, by design, networking and computing resources over the wireless access network, it would enable the support of computing-intensive and delay-sensitive streaming applications under the energy-limited wireless IoT realm. Motivated by this consideration, the goal of this paper is threefold. First, it provides a motivating study the main " killer " application areas envisioned for the considered Fog-of-IoT paradigm. Second, it presents the design of a CoNtainer (CN)-based virtualized networked computing architecture. The proposed architecture operates at the Middleware layer and exploits the native capability of the Container Engines, so as to allow the dynamic real-time scaling of the available computing-plus-networking virtual-ized resources. Third, the paper presents a low-complexity Penalty-Aware Bin Packing (PABP)-type heuristic for the dynamic management of the resulting virtualized computing-plus-networking resources. The proposed heuristic pursues the joint minimization of the networking-plus-computing energy by adaptively scaling up/down the processing speeds of the virtual processors and transport throughputs of the instantiated TCP/IP virtual connections, while guaranteeing hard (i.e., deterministic) upper bounds on the per-task computing-plus-networking delays. Finally, the actual energy performance-vs.-implementation complexity trade-off of the proposed resource manager is numerically tested under both wireless static and mobile Fog-of-IoT scenarios and comparisons against the corresponding performances of some state-of-the-art benchmark resource managers and Device-to-Device edge computing platforms are also carried out. efficiency, design of virtualized networked computing architectures, adaptive management of virtualized resources, trustworthiness-enforcing mechanisms for container-based virtualization.