Server Workload Analysis for Power Minimization using Consolidation

By Akshat Verma, Gargi Dasgupta. USENIX Annual Technical Conference, 2009

449 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/6d37e31161d5f7ac35a6598e91270344983236eb

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Citations in the corpus

Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in Cloud data centers (2012, methodology): “In their more recent work [17], Verma et al. have proposed dividing VM consolidation strategies into static (monthly, yearly), semistatic (days, weeks), and dynamic (minutes, hours) consolidation.”
Managing Overloaded Hosts for Dynamic Consolidation of Virtual Machines in Cloud Data Centers under Quality of Service Constraints (2013, methodology): “. p N1 p NN 1 mN 0 0 0 0 0 BBB@ 1 CCCA: ð10Þ In the next section, we formulate the QoS constraint in terms of the introduced model, derived extended matrix of transition rates Q , and OTF metric.”
Resource Management in Clouds: Survey and Research Challenges (2015, background): “[221], focus less on the optimal consolidation at a given point in time, considering instead the best candidates for consolidation over a longer period during which VM resource demands can vary significantly.”
Workload characterization and prediction in the cloud: A multiple time series approach (2012, background): “[16] proposed to consolidate servers using correlation or peak cluster based placement.”
My VM is Lighter (and Safer) than your Container (2017, background): “…crucial to a wide range of use cases, including just-in-time in-stantiation of services [23, 26] (e.g., filters against DDoS attacks, TCP acceleration proxies, content caches, etc.) and NFV [41, 51], all while providing significant cost reduction through consolidation and power minimization [46].”
DENS: data center energy-efficient network-aware scheduling (2010, background): “In cloud computing incoming requests are typically generated for such applications like web browsing, instant messaging, or various content delivery applications [9, 35].”
Empowering Things With Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things (2020, background): “analysis, task scheduling, and virtual machine consolidation have also been studied to improve power efficiency in data centers [267], [268].”