A view of cloud computing

By Michael Armbrust, Armando Fox, Rean Griffith, Anthony D. Joseph, Randy Howard Katz, Andy Konwinski, Gunho Lee, David A. Patterson, Ariel S. Rabkin, Ion Stoica and 1 more. 2010

10,800 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems, ML Systems & Hardware

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

In Information Systems

In ML Systems & Hardware

Citations in the corpus

Carbon Emissions and Large Neural Network Training (2021, background): “Many believe the cloud’s efficiencies in cost and energy mean that it is the ultimate future of all datacenters [Arm10, Sch21].”
Opportunities and obstacles for deep learning in biology and medicine (2017, background): “patient electronic health records) in the cloud, secure, regulationcompliant cloud services do exist [407].”
NSML: Meet the MLaaS platform with a real-world case study (2018, background): “Since the requests of users converge on a NSML scheduler node, a centralized system may be vulnerable to a single point of failure (SPOF) (Armbrust et al., 2010).”
Uncertainty, Knowledge Problems, and Entrepreneurial Action (2018, background): “Recent industrial examples of equivocal circumstances include the ongoing battle to define commercializable parameters of cloud computing (Armbrust et al., 2010), education (Ball, 2013), cyber-security (Byres & Lowe, 2004; Choo, 2011) and nano-scale technologies (Baird, Nordmann, & Schummer, 2004).”
Interconnected Cloud Computing Environments (2014, methodology): “It is also perceived as one of the current drawbacks of cloud computing [Armbrust et al. 2010].”
NoSQL databases: a step to database scalability in web environment (2011, methodology): “NoSQL Databases: a step to database scalability in Web environment Jaroslav Pokorny Charles University, Faculty of Mathematics and Physics, Malostranske n. 25, 118 00 Praha 1 Czech Republic +420-221914265 pokorny@ksi.mff.cuni.cz ABSTRACT The paper is focused on so called NoSQL databases.”
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.”
AVE: Autonomous Vehicular Edge Computing Framework with ACO-Based Scheduling (2017, methodology): “Cloud computing [1] is another possible solution, in which networked remote servers are used to satisfy the computational requirements.”
Efficient Autoscaling in the Cloud Using Predictive Models for Workload Forecasting (2011, background): “Failure to comply with satisfying these QoS metrics leads to a major loss of revenue in the form of decreased user base [1].”
NSML: A Machine Learning Platform That Enables You to Focus on Your Models (2017, background): “A centralized model often suffers from a single point of failure (SPOF) [15].”
Optimal Workload Allocation in Fog-Cloud Computing Toward Balanced Delay and Power Consumption (2016, background): “For example, Armbrust et al. [26] quantified comparisons between cloud and conventional computing, and identify the top technical and nontechnical obstacles and opportunities of cloud computing.”
Software-Defined Network Function Virtualization: A Survey (2015, background): “Cloud computing [92]–[94] enable globally distributed services and enterprises to quickly deploy, manage and optimize their computing infrastructure dynamically.”
Recent Advances in Physical Reservoir Computing: A Review (2018, background): “Currently, many online services rely on cloud computing (Armbrust et al., 2010) where tasks are performed at computers far from devices of end users on the Internet.”
Mona: Secure Multi-Owner Data Sharing for Dynamic Groups in the Cloud (2013, background): “LOUD computing is recognized as an alternative to traditional information technology [1] due to its intrinsic resource-sharing and low-maintenance characteristics .”