Scheduling extensive scientific applications that are deadline-aware (usually referred to as workflow) is a difficult task. This research provides virtual machine (VM) placement and scheduling approach for effectively process tasks in the cloud environment while maintaining dependency deadline constraints. The suggested model’s aim reduce application’s energy consumption total execution time ta...

The real-life assembly production often has transportation between fabrication and assembly, the capacity of machine is considered; however, previous works are mainly about two-stage distributed scheduling problems. In this study, a energy-efficient problem (DEASP) with investigated, in which dedicated parallel machines symmetry under given conditions, an used. An adaptive imperialist competiti...

Cloud Computing is an evolving area of efficient utilization of computing resources. Data centers accommodating Cloud applications ingest massive quantities of energy, contributing to high functioning expenditures and carbon footprints to the atmosphere. Hence, Green Cloud computing resolutions are required not only to save energy for the environment but also to decrease operating charges. In t...

Domain-specific systems-on-chip (DSSoCs) aim at bridging the gap between application-specific integrated circuits (ASICs) and general-purpose processors. Traditional operating system (OS) schedulers can undermine potential of DSSoCs since their execution times be orders magnitude larger than time task itself. To address this problem, we propose a dynamic adaptive scheduling (DAS) framework that...

the biggest challenges faced in big cities are greenhouse gas emission and growing energy needs. efficient utilization of existing infrastructures has a prominent role in response to the challenges. energy hub approach embraces performance of different energy networks. energy hub is defined as a super node in electrical system receiving distinctive energy carriers such as gas and electricity in...

The main intent of the cloud computing to provide utilities demands users that are booming day by day. To meet requirements, existing scheduling algorithms focus on improving performance and neglecting energy consumed fulfill those demands. Hence, we propose a new Hybrid Scheduling Algorithm (HS) which is based Genetic (GA) Flower Pollination (FPA) for environments. proposed algorithm has surpa...