Scientific Cloud Computing: Early Definition and Experience

Wang, Lizhe; Tao, Jie; Kunze, M.; Castellanos, A.C.; Kramer, David; Karl, Wolfgang

doi:10.1109/hpcc.2008.38

Cited by 389 publications

(170 citation statements)

References 9 publications

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“…The services may be Infrastructure as a Service (IaaS), Data storage as a Service (DaaS), Communication as a Service (CaaS), Security as a Service (SecaaS), Hardware as a Service (HaaS), Software as a Service (SaaS), Business as a Service (BaaS), and Platform as a Service (PaaS). There are various layered architectures available for cloud computing to provide the aforementioned services as a utility [3][4][5]. One such cloud computing layered architecture is presented in Fig.…”

Section: Introductionmentioning

confidence: 99%

Towards secure mobile cloud computing: A survey

Khan

Kiah

Khan

et al. 2013

Future Generation Computer Systems

311

125

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Section: Introductionmentioning

confidence: 99%

Towards secure mobile cloud computing: A survey

Khan

Kiah

Khan

et al. 2013

Future Generation Computer Systems

311

125

View full text Add to dashboard Cite

“…Cloud computing and mobile learning are two innovations in the technological realm that have changed how individuals learn, store and access data. Cloud computing could be described a service that allows for storage and access of data and programs remotely over the internet [9]. This service allows multiple individuals to access and manipulate programs as they wish, together with the ability to store as much data as they can over the internet.…”

Section: Introductionmentioning

confidence: 99%

“…The company will have control over manipulating the data entered in by its employees. Examples of PaaS providers are Google app engine and Amazon Elastic Beanstalk [9]. Infrastructure as a service involves a situation where the service provider offers the client a virtual storage together with access to a virtual server.…”

Section: Introductionmentioning

confidence: 99%

Learning Anytime, Anywhere: Benefits and Challenges of M-Learning through the Cloud

Alamri¹,

Meccawy²,

Khoja³

et al. 2017

International Advanced Research Journal in Science, Engineering

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Abstract:With mobile learning (m-learning), the learner only needs to have a smartphone and access to the internet; with that, they can access all the resources they need to study without having to carry books around with them. Some of the advantages of m-learning include areduction in cost, elasticity, flexibility and collaborative learning. On the flipside, this method of learning has its drawbacks that include screen size and the battery life of the smart phone, distractions during the learning process, and internet charges. Since the advantages are on the higher side, it is important that the mobile learning be adopted by educational instotuties and training centres to enhance the quality and accessibility of learning. The introduction of new technology in m-learning such as ambient intelligence, location-based learning, and learning implants implies that mobile learning has a bright future. This paper provides an overview of mlearning via the cloud computing technology and introduces a mobile application that teaches programming to young children as an example of this type of learning.

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“…The basic idea behind cloud computing is distributed computing and grid computing. Due to usage of large data over internet it has become very important to manage the datacenters as well as computing resources [2]. Virtualization is the technology behind the cloud which realize the vision of utility computing.…”

Section: Introductionmentioning

confidence: 99%

“…It represents the cooperation between multiple host machines and the services by network that provides powerful services to users [1] [2]. The basic idea behind cloud computing is distributed computing and grid computing.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid G-Aco Approach on Load Balancing in Cloud Computing

Kaur¹

2017

ijarcs

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Cloud computing permits facilitating of various administrations on various datacenters where assets are designated to clients on request. It utilizes the concept of virtualization for working online, on the grounds that without virtualization cloud computing is inefficient and not adaptable. Load balancing is a method that distribute the workload among different nodes in the given environment such that it no node in the system is overloaded .The different conventional load balancing techniques not performed well and they doesn't consider SLA quality of service parameters while choosing virtual machine for relocation. Many other issues are likewise associated with migration process like number of migration, utilization of resources, response time and memory. So there is have to grow new approach for load balancing in data centers using VM algorithms that beat the issues in customary methodologies and enhance their execution. So the hybrid approach utilizing different strategies like Ant Colony Optimization (ACO) and Genetic algorithm (GA) is proposed in this paper. This paper defeat the issue of stagnation in ACO-VMM system. The outcomes are mimicked in cloudsim environment.

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Scientific Cloud Computing: Early Definition and Experience

Cited by 389 publications

References 9 publications

Towards secure mobile cloud computing: A survey

Towards secure mobile cloud computing: A survey

Learning Anytime, Anywhere: Benefits and Challenges of M-Learning through the Cloud

A Hybrid G-Aco Approach on Load Balancing in Cloud Computing

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