Efficient Scheduling of Weighted Coflows in Data Centers

On Scheduling Coflows

Applications designed for data-parallel computation frameworks such as MapReduce usually alternate between computation and communication stages. Coflow scheduling is a recent popular networking abstraction introduced to capture such application-level communication patterns in datacenters. In this framework, a datacenter is modeled as a single non-blocking switch with m input ports and m output ...

Scheduling Energy Efficient Data Centers Using Renewable Energy

This work presents a multi-objective approach for scheduling energy consumption in data centers considering traditional and green energy data sources. This problem is addressed as a whole by simultaneously scheduling the state of the servers and the cooling devices, and by scheduling the workload of the data center, which is comprised of a set of independent tasks with due dates. Its goal is to...

Energy-Efficient Data Centers

Energy Aware Task Scheduling in Data Centers

Nowadays energy consumption problem is a major issue for data centers. The energy consumption increases significantly along with its CPU frequency getting higher. With Dynamic Voltage and Frequency Scaling (DVFS) techniques, CPU could be set to a suitable working frequency during the running time according to the workload. On the other side, reducing frequency implies that more servers will be ...

Efficient Data Protection for Enterprise Data Centers

This paper addresses the major challenges that large organizations face in protecting their valuable data. Some of these challenges include recovery objectives, data explosion, cost and the nature of data. The paper explores multiple methods of data protection at different storage levels. RAID disk arrays, snapshot technology, storage mirroring, and backup and archive strategies all are methods...