The cost of a cloud: research problems in data center networks
By Albert G. Greenberg, James R. Hamilton, David A. Maltz, Parveen Patel. CCRV, 2008
1,937 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Information Systems
View Paper: https://www.semanticscholar.org/paper/3b645732e5d5b92636fbe9ca7e3363a4164a569f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Jennifer Rexford
- Ion Stoica
- Scott Shenker
- Emina Soljanin
- Gauri Joshi
- Raouf Boutaba
- Matei A. Zaharia
- A. Ghodsi
In Electrical and Electronic Engineering
- Jennifer Rexford
- Scott Shenker
- Mung Chiang
- Matei A. Zaharia
- Laurent Lefèvre
- Gauri Joshi
- Vasileios Pappas
- Pablo Rodríguez Rodríguez
In Information Systems
- Ion Stoica
- Matei A. Zaharia
- Scott Shenker
- A. Ghodsi
- Jennifer Rexford
- Blesson Varghese
- Emina Soljanin
- Gauri Joshi
Citations in the corpus
- To cloud or not to cloud?: musings on costs and viability (2011, neutral): “In deployment, small to mid-size data centers feature a ratio of 100-140:1 whereas cloud level centers can go up to 1000:1 [12, 15].”
- It's not easy being green (2012, background): “Furthermore, bandwidth is relatively inexpensive today, with network bandwidth expenses only contributing a couple of percent to the total cost of operating a datacenter [16].”
- Survey of Fog Computing: Fundamental, Network Applications, and Research Challenges (2018, background): “Data center virtualization [57], [65] aims to improve flexibility and efficiency of the computing to satisfy Data Service Subscribers’ (DSSs’) requirement.”
- On Global Electricity Usage of Communication Technology: Trends to 2030 (2015, background): “…and disruptive impacts across the CT sector: (i) cloud computing promises efficiency of scale, both in terms of capital and operational costs [9–12]; (ii) high-speed wireless access networks promise near-ubiquitous network access [13–15]; and (iii) thin-client solutions, such as smart-phones…”
- Coding for fast content download (2012, background): “It has been estimated that around 40% of total operation cost has been related to power distribution, cooling, and electricity bills [22] and the total data center power consumption in 2005 was already 1% of the total US power consumption [23].”
- Data Security and Privacy-Preserving in Edge Computing Paradigm: Survey and Open Issues (2018, neutral): “Previous work such as micro data center, [19], [20], mobile cloud computing [13], [14], fog computing [15], [16], cloudlet [21], and cloud-sea computing [22] have been introduced to reduce the storage and computation load in cloud computing.”
- Mesos: A Platform for Fine-Grained Resource Sharing in the Data Center (2011, background): “We recognize that there are obstacles beyond node scheduling to collocating front-end and back-end workloads at very large scales, such as the difficulty of isolating network traffic [30].”
- A survey on techniques for improving the energy efficiency of large-scale distributed systems (2014, methodology): “As cooling accounts for about 33% of the power used in a data center [Greenberg et al. 2008], this technique leads companies to locate their facilities in regions and countries with cold climate, such as Sweden 6 .”
- The Internet of Things, Fog and Cloud Continuum: Integration and Challenges (2018, background): “Doing this reduces the network overhead by avoiding unnecessary data movement and improves the individual job feedback time within a cluster, as well as decreases the latency [89,90] .”
- An Energy Efficient Ant Colony System for Virtual Machine Placement in Cloud Computing (2018, background): “An active but idle server burns between 50% and 70% of the power consumed by the server working at full load [15].”
- Computation Offloading Toward Edge Computing (2019, background): “2) Micro Data Centers: Unlike the cloud that has mega DCs with tens of thousands of servers [58], mDCs are geo-distributed small DCs, which have only the small or moderate order of servers.”
- Highly efficient data migration and backup for big data applications in elastic optical inter-data-center networks (2015, background): “Recently, there is an increasing trend to deploy geographically distributed (geo-distributed) cloud systems with multiple DCs [7].”
- Challenges and Opportunities in Edge Computing (2016, background): “There is a significant body of research that has investigated the energy consumption of cloud data center [14], [15].”