Distributed Cloud Computing and Distributed Parallel Computing: A Review

Rashid, Zryan Najat; Zebari, Subhi R. M.; Sharif, Karzan Hussein; Jacksi, Karwan

doi:10.1109/icoase.2018.8548937

Cited by 86 publications

(53 citation statements)

References 14 publications

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“…Cloud is a new generation technology that provides the clients rapidly with the hardware and software resources in order to satisfy their requirements [27]. In modern large-scale distributed systems, resource provisioning at the real-time became one of the main challenges, it is one of the major issues in cloud computing [14], [28]- [30].…”

Section: Resource Allocationmentioning

confidence: 99%

Cloud Computing Virtualization of Resources Allocation for Distributed Systems

Shukur

Zeebaree

Zebari

et al. 2020

JASTT

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Cloud computing is a new technology which managed by a third party “cloud provider” to provide the clients with services anywhere, at any time, and under various circumstances. In order to provide clients with cloud resources and satisfy their needs, cloud computing employs virtualization and resource provisioning techniques. The process of providing clients with shared virtualized resources (hardware, software, and platform) is a big challenge for the cloud provider because of over-provision and under-provision problems. Therefore, this paper highlighted some proposed approaches and scheduling algorithms applied for resource allocation within cloud computing through virtualization in the datacenter. The paper also aims to explore the role of virtualization in providing resources effectively based on clients’ requirements. The results of these approaches showed that each proposed approach and scheduling algorithm has an obvious role in utilizing the shared resources of the cloud data center. The paper also explored that virtualization technique has a significant impact on enhancing the network performance, save the cost by reducing the number of Physical Machines (PM) in the datacenter, balance the load, conserve the server’s energy, and allocate resources actively thus satisfying the clients’ requirements. Based on our review, the availability of Virtual Machine (VM) resource and execution time of requests are the key factors to be considered in any optimal resource allocation algorithm. As a results of our analyzing for the proposed approaches is that the requests execution time and VM availability are main issues and should in consideration in any allocating resource approach.

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Section: Resource Allocationmentioning

confidence: 99%

Cloud Computing Virtualization of Resources Allocation for Distributed Systems

Shukur

Zeebaree

Zebari

et al. 2020

JASTT

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“…Conventional Search Engines are very helpful in finding information on the internet and getting results within some time, but they suffer from the fact that they do not know the meaning of the terms and expression used in the web pages and the relationship between them [13], [14]. Surveys show that users who seek for information on the web do not find accurate results in the first set of URLs returned, because of increasing size of links on the web pages.…”

Section: Abstractearch Enginesmentioning

confidence: 99%

Comparative Study of Semantic and Keyword Based Search Engines

Hussan¹

2020

Adv. sci. technol. eng. syst. j.

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Day by day, the data on the web becomes very huge which makes it difficult to find relevant information. Search engines are one of the successful factors that can retrieve information from the Web. The process of seeking information by search engines helps users find information on the internet, however it is not an easy task to find the exact information from this massive data available on the Web. Semantic Web technology has an ability to focus on metadata rather than syntax, which made the semantic search engines to search for the meaning of keywords instead of the keyword syntax. Consequently, an effective role of performance in conventional search engines can be achieved by rising the accuracy of information returned by a search query. In this paper, a survey for syntactic-based search engines and semantic-based search engines are studied, a comprehensive comparison between the two is presented, finally, their technologies are compared and discussed.

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“…Besides, cloud computing has other features that can benefit the scientists by the scaling of downing the infrastructure of computing depending on the user's budget and the requirement of applications. However, by using cloud computing technology, we can provide a large number of distributed infrastructures with a suitable environment [12], [13].…”

Section: Introductionmentioning

confidence: 99%

Comparison Among Cloud Technologies and Cloud Performance

Alzakholi¹,

Haji²,

Shukur³

et al. 2020

JASTT

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The cloud is the best method used for the utilization and organization of data. The cloud provides many resources for us via the internet. There are many technologies used in cloud computing systems; each one uses a different kind of protocols and methods. Many tasks can execute on different servers per second, which cannot execute on their computer. The most popular technologies used in the cloud system are Hadoop, Dryad, and another map reducing framework. Also, there are many tools used to optimize the performance of the cloud system, such as Cap3, HEP, and Cloudburst. This paper reviews in detail the cloud computing system, its used technologies, and the best technologies used with it according to multiple factors and criteria such as the procedure cost, speed cons and pros. Moreover, A comprehensive comparison of the tools used for the utilization of cloud computing systems is presented.

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Distributed Cloud Computing and Distributed Parallel Computing: A Review

Cited by 86 publications

References 14 publications

Cloud Computing Virtualization of Resources Allocation for Distributed Systems

Cloud Computing Virtualization of Resources Allocation for Distributed Systems

Comparative Study of Semantic and Keyword Based Search Engines

Comparison Among Cloud Technologies and Cloud Performance

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