A Framework for Resource Allocation Strategies in Cloud Computing Environment

Arfeen, Asad; Pawlikowski, Krzysztof; Willig, Andreas

doi:10.1109/compsacw.2011.52

Cited by 33 publications

(16 citation statements)

References 25 publications

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“…As an important part of cloud computing, task scheduling is an NP-hard optimization problem [2], it cannot find the optimal solution in polynomial time complexity. Many intelligent optimization algorithms such as genetic algorithm, particle swarm algorithm, ant colony optimization and simulated annealing are introduced to the research of task scheduling [3].…”

Section: Introductionmentioning

confidence: 99%

An improved binary PSO-based task scheduling algorithm in green cloud computing

Wang

Ouyang

et al. 2014

9th International Conference on Communications and Networking in China

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Cloud computing is experiencing a rapid development since a large amount of data need to be addressed. How to carry on the reasonable task scheduling plays a vital role in the efficiency of cloud computing. This paper proposes a green cloud task-scheduling algorithm (GCTA) based on the improved binary particle swarm optimization(BPSO). The main contribution of our work is avoiding matrix operations by using pipelined number for virtual machines and redefining the position and velocity of particle. Simulation shows that the proposed GCTA has less execution time, and reduces resource consumption accordingly.

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Section: Introductionmentioning

confidence: 99%

An improved binary PSO-based task scheduling algorithm in green cloud computing

Wang

Ouyang

et al. 2014

9th International Conference on Communications and Networking in China

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“…Arfeen et al [32] describe the distribution of resources for cloud computing based on the tailored active measurement. The tailored measurement technique is based on the network design and the specific routes for the incoming and outgoing traffic and gradually changing the resources according to the user needs.…”

Section: Distributive Storagementioning

confidence: 99%

Data Security and Privacy in Cloud Computing

Sun

Zhang

Xiong

et al. 2014

International Journal of Distributed Sensor Networks

201

134

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Data security has consistently been a major issue in information technology. In the cloud computing environment, it becomes particularly serious because the data is located in different places even in all the globe. Data security and privacy protection are the two main factors of user's concerns about the cloud technology. Though many techniques on the topics in cloud computing have been investigated in both academics and industries, data security and privacy protection are becoming more important for the future development of cloud computing technology in government, industry, and business. Data security and privacy protection issues are relevant to both hardware and software in the cloud architecture. This study is to review different security techniques and challenges from both software and hardware aspects for protecting data in the cloud and aims at enhancing the data security and privacy protection for the trustworthy cloud environment. In this paper, we make a comparative research analysis of the existing research work regarding the data security and privacy protection techniques used in the cloud computing.

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“…Because each section of data is secured and individually distributed in databases over cloud, this gives enhanced protection against various kinds of attacks. Arfeen et al [32] explain the distribution of sources for cloud computing on the basis of the designed productive measurement. The designed rating technique is on the basis of the system design and the precise channels for the inward and outgoing traffic and slowly changing the sources based on the user needs.…”

Section: Distributive Storagementioning

confidence: 99%

Analysis of Data Security and Privacy Issues in Cloud Computing Technology

Karthick¹

2017

IJRASET

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Information security and privacy are equally extremely important issues in IT industry. In the cloud processing technology, it becomes especially critical since the information is situated in various places even in the whole globe. Information security and privacy protection are the two major facets of user's considerations in regards to the cloud processing technology. However several methods on the issues in cloud processing have already been investigated in academics and industries, information safety and privacy safety are getting more crucial for future years growth of cloud processing in government, market and business. Information protection and privacy protection problems are strongly related equally hardware or equipment or electronics and computer software or application in the cloud architecture. This study is to examine various information protection methods and difficulties from both computer software or application and hardware or equipment or electronics factors for guarding information in the cloud and seeks at improving the information protection and solitude safety for the reliable cloud environment. In this research paper, we create a relative evaluation of the present research work regarding the data security and privacy issues found in the cloud computing technology. Keywords: Privacy, Malicious, Access Control, Security, Fine-Grained. I. INTRODUCTIONCloud computing has been envisioned as another generation paradigm in computation. In the cloud computing environment, both applications and resources are delivered on demand over the Internet as services. Cloud is definitely an environment of the hardware and software resources in the data centers that offer diverse services over the network or the Internet to satisfy user's requirements [1].The explanation of "cloud computing" from the National Institute of Standards and Technology (NIST) [2] is that cloud computing enables ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. Based on the explanation, cloud computing supplies a convenient on-demand network usage of a shared pool of configurable computing resources. Resources refer to computing applications, network resources, platforms, software services, virtual servers, and computing infrastructure. Cloud computing can be considered as a new computing archetype that will provide services on demand at a small cost. The three well-known and commonly used service models in the cloud paradigm are software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS). In SaaS, software with the related data is deployed by a cloud service provider, and users can use it through the internet browsers. In PaaS, a service provider facilitates services to the users with some software packages that could solve the precise tasks. In IaaS,the cloud se...

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A Framework for Resource Allocation Strategies in Cloud Computing Environment

Cited by 33 publications

References 25 publications

An improved binary PSO-based task scheduling algorithm in green cloud computing

An improved binary PSO-based task scheduling algorithm in green cloud computing

Data Security and Privacy in Cloud Computing

Analysis of Data Security and Privacy Issues in Cloud Computing Technology

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