In multi-agent collaborative search missions, task allocation is required to determine which
agents will perform which tasks. We propose a new approach for decentralized task …

This work presents a novel parallel micro evolutionary algorithm for scheduling tasks in
distributed heterogeneous computing and grid environments. The scheduling problem in …

Given an undirected, connected, edge-weighted graph G and a positive integer d, the
degree-constrained minimum spanning tree (dc-MST) problem aims to find a minimum …

Cloud computing has been increasingly concerned in scientific computing area. More and
more enterprises and research institutes have migrated their applications to the clouds. Due …

Cloud computing is one of the most popular and pragmatic topics of research nowadays.
The allocation of cloudlet (s) to suitable VM (s) is one of the most challenging areas of …

Nowadays, robots (including non-humanoid ones, like self-driving cars) are part of the most
promising technologies, and they rise various computing requirements. Some of those …

This paper presents a solution to analyze the performance of grid scheduling algorithms for
tasks with dependencies. Finding the optimal procedures for DAG scheduling in Grid …

Modern physics is based on both theoretical analysis and experimental validation. Complex
scenarios like subatomic dimensions, high energy, and lower absolute temperature are …

Erraticness of the radio spectrum makes communication on wireless networks scarcely
deterministic, which renders them hardly suitable for the use in application scenarios that …

Service Level Agreement (SLA) is one of the most important characteristics when discussing
about Cloud scheduling. Modeling Cloud scheduling under SLA constraints represents one …