Biobjective task scheduling for distributed green data centers
The industry of data centers is the fifth largest energy consumer in the world. Distributed
green data centers (DGDCs) consume 300 billion kWh per year to provide different types of …
green data centers (DGDCs) consume 300 billion kWh per year to provide different types of …
Revenue and energy cost-optimized biobjective task scheduling for green cloud data centers
The significant growth in the number and types of tasks of heterogeneous applications in
green cloud data centers (GCDCs) dramatically increases their providers' revenue from …
green cloud data centers (GCDCs) dramatically increases their providers' revenue from …
Spatial task scheduling for cost minimization in distributed green cloud data centers
The infrastructure resources in distributed green cloud data centers (DGCDCs) are shared
by multiple heterogeneous applications to provide flexible services to global users in a high …
by multiple heterogeneous applications to provide flexible services to global users in a high …
Time-aware multi-application task scheduling with guaranteed delay constraints in green data center
A growing number of companies deploy their applications in green data centers (GDCs) and
provide services to tasks of global users. Currently, a growing number of GDC providers aim …
provide services to tasks of global users. Currently, a growing number of GDC providers aim …
Firefly algorithm and learning-based geographical task scheduling for operational cost minimization in distributed green data centers
Abstract Green Data Centers (GDCs) are more and more deployed world-wide. They
integrate many renewable sources to provide clean power and decrease their operating …
integrate many renewable sources to provide clean power and decrease their operating …
A multi-objective co-evolutionary algorithm for energy-efficient scheduling on a green data center
Nowadays, the environment protection and the energy crisis prompt more computing centers
and data centers to use the green renewable energy in their power supply. To improve the …
and data centers to use the green renewable energy in their power supply. To improve the …
Energy and network aware workload management for geographically distributed data centers
Cloud service providers are distributing data centers geographically to minimize energy
costs through intelligent workload distribution. With increasing data volumes in emerging …
costs through intelligent workload distribution. With increasing data volumes in emerging …
Greenslot: scheduling energy consumption in green datacenters
In this paper, we propose GreenSlot, a parallel batch job scheduler for a datacenter
powered by a photovoltaic solar array and the electrical grid (as a backup). GreenSlot …
powered by a photovoltaic solar array and the electrical grid (as a backup). GreenSlot …
Green-aware workload scheduling in geographically distributed data centers
Renewable (or green) energy, such as solar or wind, has at least partially powered data
centers to reduce the environmental impact of traditional energy sources (brown energy with …
centers to reduce the environmental impact of traditional energy sources (brown energy with …
Renewable energy-aware big data analytics in geo-distributed data centers with reinforcement learning
In the age of big data, companies tend to deploy their services in data centers rather than
their own servers. The demands of big data analytics grow significantly, which leads to an …
their own servers. The demands of big data analytics grow significantly, which leads to an …