Recently, meta-heuristic algorithms have made remarkable progress in solving types of
complex and NP-hard problems. So that, most of this algorithms are inspired by swarm …

Nature-inspired algorithms take inspiration from living things and imitate their behaviours to
accomplish robust systems in engineering and computer science discipline. Symbiotic …

Task scheduling in the cloud platform seems to be the most significant issue to guarantee
that cloud connectivity adequately and efficiently meets the requirements of customers …

Abstract In Cloud Computing model, users are charged according to the usage of resources
and desired Quality of Service (QoS). Multi-objective task scheduling problem based on …

Usually, a large number of concurrent bag-of-tasks (BoTs) application execution requests
are submitted to cloud data centers (CDCs), which needs to be optimally scheduled on the …

Due to the purpose of this study that reducing power consumption in the cloud network is
based on load balancing, the fitness function measures the load balance between cloud …

Cloud computing maps tasks to resources in a scalable fashion. The scheduling is an NP-
hard problem; thus, the scheduler chooses one solution from among many. This is the …

Fog computing paradigm attempts to provide diverse processing at the edge of IoT networks.
Energy usage being one of the important elements that may have a direct influence on the …

Bag-of-Tasks (BoT) scheduling over cloud computing resources called Cloud Bag-of-Tasks
Scheduling (CBS) problem, which is a well-known NP-hard optimization problem. Whale …

Recently, cloud computing has begun to experience tremendous growth because
government agencies and private organisations are migrating to the cloud environment …