Cloud Computing and Grid Computing 360-Degree Compared

By Ian T Foster, Yong Zhao, Ioan Raicu, Shiyong Lu. Grid Computing Environments, 2008

3,388 citations recorded by the source corpus.

Cloud computing has become another buzzword after Web 2.0. However, there are dozens of different definitions for cloud computing and there seems to be no consensus on what a cloud is. On the other hand, cloud computing is not a completely new concept; it has intricate connection to the relatively new but thirteen-year established grid computing paradigm, and other relevant technologies such as utility computing, cluster computing, and distributed systems in general. This paper strives to compare and contrast cloud computing with grid computing from various angles and give insights into the essential characteristics of both.

Subfields: Computer Networks and Communications, Information Systems, Information Systems and Management

View Paper: https://www.semanticscholar.org/paper/c50a7f1850d1770fe728b8e42200e463ca669896

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Citations in the corpus

An intrusion detection and prevention system in cloud computing: A systematic review (2013, background): “In addition tracking data across different platform visibility and access policies of different service providers as well as different software and hardware abstraction layers within one provider is a challenging task Foster et al., 2008.”
Optimization of Resource Provisioning Cost in Cloud Computing (2012, background): “In general, cost of utilizing computing resources provisioned by reservation plan is cheaper than that provisioned by on-demand plan, since cloud consumer has to pay to provider in advance.”
A Cloud Computing Solution for Patient's Data Collection in Health Care Institutions (2010, methodology): “We focused on a specialized sub-set of utility computing, named “cloud computing [5][6].”
A survey on gaps, threat remediation challenges and some thoughts for proactive attack detection in cloud computing (2012, background): “Foster et al (2008) argue that “Cloud Computing is not a completely new concept; it has intricate connection to the thirteen-year established Grid Computing paradigm, and other relevant technologies such as utility computing, cluster computing, and distributed systems in general”.”
Cloud monitoring: A survey (2013, methodology): “Compared with the case of Grid Computing, the monitoring of a Cloud is more complex because of the differences in both the trust model and the view on resource/ services presented to the user [131].”
A critical review of cloud computing: researching desires and realities (2012, methodology): “Earlier work in Grid computing (Boss et al ., 2007; Foster et al ., 2008; Cafaro and Aloisio, 2011) has proved influential in supporting the management of server work-loads to enable scalability.”
Cloud auto-scaling with deadline and budget constraints (2010, background): “As one of the grid pioneers Ian Foster defined, the cloud is a large-scale distributed computing paradigm that is driven by economies of scale, in which a pool of abstracted, virtualized, dynamically-scalable, managed computing power, storage, platforms, and services are delivered on demand to exter”
A Survey of Load Balancing in Cloud Computing: Challenges and Algorithms (2012, background): “However, partial replication algorithms could save parts of the data sets in each node (with a certain level of overlap) based on each node’s capabilities such as processing power and capacity [4].”
Secure provenance: the essential of bread and butter of data forensics in cloud computing (2010, background): “Secure provenance is vital to the success of data forensics in cloud computing, yet it is still a challenging issue today [5].”
Cloud Computing Resource Scheduling and a Survey of Its Evolutionary Approaches (2015, background): “These types of resources are provided on demand in a pay-per-use/subscription in an Internet-based environment [Foster et al. 2008; Xu et al. 2014].”
Digital ecosystems in the clouds: Towards community cloud computing (2009, methodology): “However, what distinguishes Cloud Computing from Grid Computing is being web-centric, despite some of its deﬁnitions being conceptually similar (such as computing resources being consumed as electricity is from power grids) [9].”
Internet of Things (IoT) and the Energy Sector (2020, background): “The main beneﬁts of using cloud systems relies on [107] (i) signiﬁcantly reducing the cost of hardware; (ii) enhancing the computing power and storage capacity; and (iii) having multi-core architectures, which eases the data management.”
A survey of mobile cloud computing: architecture, applications, and approaches (2013, background): “For example, a four-layer architecture is explained in [8] to compare cloud computing with grid computing.”
Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014, background): “That is the swerve to cloud computing [50,186,7,48], which aggregates multiple disparate workloads into a large cluster of processors.”
Optimal virtual machine placement across multiple cloud providers (2009, background): “Cloud computing is a large scale distributed computing paradigm in which a pool of computing resources are available to the users via the Internet [2].”