This paper presents a particle swarm optimization (PSO) algorithm for multiobjective
optimization problems. PSO is modified by using a dynamic neighborhood strategy, new …

The most commonly used scheduling algorithm for parallel supercomputers is FCFS with
backfilling, as originally introduced in the EASY scheduler. Backfilling means that short jobs …

In this paper, we first study the impact of load placement policies on cooling and maximum
data center temperatures in cloud service providers that operate multiple geographically …

Cloud spot markets enable users to bid for compute resources, such that the cloud platform
may revoke them if the market price rises too high. Due to their increased risk, revocable …

The job management system is the HPC middleware responsible for distributing computing
power to applications. While such systems generate an ever increasing amount of data, they …

Traditional resource management techniques (resource allocation, admission control and
scheduling) have been found to be inadequate for many shared Grid and distributed …

Cloud computing providers are now offering their unused resources for leasing in the spot
market, which has been considered the first step towards a full-fledged market economy for …

Most parallel computing platforms are controlled by batch schedulers that place requests for
computation in a queue until access to compute nodes is granted. Queue waiting times are …

Scientific workflows, which capture large computational problems, may be executed on large-
scale distributed systems such as Clouds. Determining the amount of resources to be …

Dynamic scheduling of tasks in large-scale HPC platforms is normally accomplished using
ad-hoc heuristics, based on task characteristics, combined with some backfilling strategy …