Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
107
0
1

Year Published

2006
2006
2015
2015

Publication Types

Select...
5
2
2

Relationship

0
9

Authors

Journals

citations
Cited by 283 publications
(109 citation statements)
references
References 8 publications
1
107
0
1
Order By: Relevance
“…Recently, a number of research works have been done on thermal efficient resource management in data centers [14,9]. The studies show that software-driven thermal management and temperature aware workload placement bring additional energy savings.…”
Section: Related Workmentioning
confidence: 99%
“…Recently, a number of research works have been done on thermal efficient resource management in data centers [14,9]. The studies show that software-driven thermal management and temperature aware workload placement bring additional energy savings.…”
Section: Related Workmentioning
confidence: 99%
“…We further study thermal-aware server and workload consolidation solutions to optimize the data centers' total energy consumption and ensure avoiding cooling computing power tradeoff. The existing thermal-aware scheduling algorithms for Internet data centers are heuristic in the sense that they are either based on simulation studies or do not provide guarantee on their optimality and avoiding cooling-computing power tradeoff [44,94,104].…”
Section: Application Of the Solutionsmentioning
confidence: 99%
“…Thermal-aware scheduling for IDCs is also studied in some papers. Sharma et al, introduced thermal load balancing and showed that dynamic thermal management based upon asymmetric workload placement can promote uniform temperature distribution and reduce cooling energy [104]. Parolini et al, provided analytical formulation to manage the workload distribution among servers which relies on the expected value of the traffic over time [94].…”
Section: Thermal-aware Schedulingmentioning
confidence: 99%
“…This is particularly important to increase (or maintain) the manufacturer specified Mean Time Before Failure (MTBF), and hence minimize the requirement for replacing the equipment. A common practice over the years in data centers has focused on provisioning the cooling for worst case temperature scenarios [22,29,30], thus undesirably consuming high energy. More recent approaches have focused on dynamic control of the cooling units depending on the variation of the generated heat in the data center [24].…”
Section: Equipment Recycling Perspectivementioning
confidence: 99%