Cloud computing and its key techniques

Chen, Quan; Deng, Qianni

doi:10.3724/sp.j.1087.2009.02562

Cited by 95 publications

(31 citation statements)

References 8 publications

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“…, with their limits set to [1,6] and [3,12], respectively. And the International Journal of Grid Distribution Computing Vol.…”

Section: Testing Casesmentioning

confidence: 99%

“…There are a wide variety of generic or dedicated cloud platforms for dealing with the real scientific computing problems privately or publicly based on the open source cloud platforms, aiming to address these issues much more efficiently and easily. However, the strategies on instructing the customers about how to manipulate the computing resources that the applications relied on and how to obtain the trustful response time of them have not been widely discussed [6].…”

Section: Introductionmentioning

confidence: 99%

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A Kriging Based Forecasting and Scheduling System for Scientific Computing Cloud Applications

Li¹,

Wang²,

Li³

et al. 2015

IJGDC

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“…, with their limits set to [1,6] and [3,12], respectively. And the International Journal of Grid Distribution Computing Vol.…”

Section: Testing Casesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Kriging Based Forecasting and Scheduling System for Scientific Computing Cloud Applications

Li¹,

Wang²,

Li³

et al. 2015

IJGDC

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“…In the problem of cloud computing scheduling which mentioned above, the traditional allocation algorithm is difficult to achieve the load balancing requirements [3]. Some heuristic algorithm like Genetic Algorithm [4], Particle Swarm Optimization(PS0) [5][6], ant colony optimization [7][8][9] and other evolutionary algorithms have the characteristics of fast adaptability and low deviation degree of optimal solution.…”

Section: Introductionmentioning

confidence: 99%

The Load Balancing Ant Colony Optimization Based on Cloud Computing

Ye¹,

Zhang²

2018

Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)

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Abstract. Ant Colony Optimization(ACO) is an intelligence-optimized algorithm Which can solve a large-scale task scheduling problem in cloud computing. However, the basic ant colony algorithm used in large scale task scheduling will easily lead to low distribution efficiency. To solve this problem, this paper analyzes the features of ACO and propose an load balancing ant colony optimization which will boost the utility of ants in the system. After that it use CloudSim, A tools for simulate the proposed algorithm as well as to compare it with the basic ACO. This result suggests that the proposed ACO can reduce the distribution scheduling execution time effectively and ensure the even distribution between nodes so that it can use in large scale scheduling problems.

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“…Concerns -The Sarbanes-Oxley Act (SOX) in the US and Data Protection orders in the EU are only two among numerous agreeability issues influencing distributed computing, taking into account the sort of information and application for which the cloud is being utilize [17].…”

Section: 64compliancementioning

confidence: 99%

A Review on Various Approaches for Security of Data on Cloud Environment

Kaur¹,

Kaur²

2015

IJCA

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Cloud computing has grabbed the spotlight within some time span. The cloud computing trend is increasing rapidly so to implement it into an organization we need to observe the threats of cloud computing. At an unusual pace it has turned the face of government and business and has created some new challenges. However developers have created new vulnerabilities, including security issues whose full impressions are still rising. This paper presents an overview and study of cloud computing, with several security threats, security issues, currently used cloud technologies and security solutions [3].

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Cloud computing and its key techniques

Cited by 95 publications

References 8 publications

A Kriging Based Forecasting and Scheduling System for Scientific Computing Cloud Applications

A Kriging Based Forecasting and Scheduling System for Scientific Computing Cloud Applications

The Load Balancing Ant Colony Optimization Based on Cloud Computing

A Review on Various Approaches for Security of Data on Cloud Environment

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