Efficient resource arbitration and allocation strategies in cloud computing through virtualization

Cloud computing is an emerging computing model which has evolved as a result of the maturity of underlying prerequisite technologies. There are differences in perspective as to when a set of underlying technologies becomes a “cloud” model. In order to categorize cloud computing services, and to expect some level of consistent characteristics to be associated with the services, cloud adopters need a consistent frame of reference. The Cloud Computing Reference Architecture (CCRA) defines a standard reference architecture and consistent frame of reference for comparing cloud services from different service providers when selecting and deploying cloud services to support their mission requirements. Cloud computing offers information retrieval systems, particularly digital libraries and search engines, a wide variety of options for growth and reduction of maintenance needs and encourages efficient resource use. These features are particularly attractive for digital libraries, repositories, and search engines. The dynamic and elastic provisioning features of a cloud infrastructure allow rapid growth in collection size and support a larger user base, while reducing management issues. Hence, the objective of this chapter is to investigate and design reference architecture to Digital Library Systems using cloud computing with scalability in mind. The proposed reference architecture is called as CORADLS. This architecture accelerates the rate at which library users can get easy, efficient, faster and reliable services in the digital environment. Here, the end user does not have to worry about the resource or disk space in cloud computing.

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A Cloud Trusting Mechanism Based on Resource Ranking

Handling Priority Inversion in Time-Constrained Distributed Databases - Advances in Data Mining and Database Management ◽

10.4018/978-1-7998-2491-6.ch008 ◽

2020 ◽

pp. 130-155

Author(s):

Ajai K. Daniel

Keyword(s):

Cloud Computing ◽

Resource Management ◽

Service Selection ◽

Cloud Service ◽

Cloud Services ◽

Storage And Retrieval ◽

Computing Paradigm ◽

Efficient Resource ◽

Software And Hardware ◽

Cloud User

The cloud-based computing paradigm helps organizations grow exponentially through means of employing an efficient resource management under the budgetary constraints. As an emerging field, cloud computing has a concept of amalgamation of database techniques, programming, network, and internet. The revolutionary advantages over conventional data computing, storage, and retrieval infrastructures result in an increase in the number of organizational services. Cloud services are feasible in all aspects such as cost, operation, infrastructure (software and hardware) and processing. The efficient resource management with cloud computing has great importance of higher scalability, significant energy saving, and cost reduction. Trustworthiness of the provider significantly influences the possible cloud user in his selection of cloud services. This chapter proposes a cloud service selection model (CSSM) for analyzing any cloud service in detail with multidimensional perspectives.

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Secure and Privacy Preserving Keyword Search over the Large Scale Cloud Data

Handbook of Research on Modern Cryptographic Solutions for Computer and Cyber Security - Advances in Information Security, Privacy, and Ethics ◽

10.4018/978-1-5225-0105-3.ch009 ◽

2016 ◽

pp. 200-215

Author(s):

Wei Zhang ◽

Jie Wu ◽

Yaping Lin

Keyword(s):

Cloud Computing ◽

Large Scale ◽

Keyword Search ◽

Data Encryption ◽

Privacy Preserving ◽

Security And Privacy ◽

Data Utilization ◽

Cloud Data ◽

Efficient Resource ◽

Efficient Data

Cloud computing has attracted a lot of interests from both the academics and the industries, since it provides efficient resource management, economical cost, and fast deployment. However, concerns on security and privacy become the main obstacle for the large scale application of cloud computing. Encryption would be an alternative way to relief the concern. However, data encryption makes efficient data utilization a challenging problem. To address this problem, secure and privacy preserving keyword search over large scale cloud data is proposed and widely developed. In this paper, we make a thorough survey on the secure and privacy preserving keyword search over large scale cloud data. We investigate existing research arts category by category, where the category is classified according to the search functionality. In each category, we first elaborate on the key idea of existing research works, then we conclude some open and interesting problems.

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QoS Based Efficient Resource Allocation and Scheduling in Cloud Computing

International Journal of Technology and Human Interaction ◽

10.4018/ijthi.2019100102 ◽

2019 ◽

Vol 15 (4) ◽

pp. 13-29

Author(s):

Harvinder Chahal ◽

Anshu Bhasin ◽

Parag Ravikant Kaveri

Keyword(s):

Resource Allocation ◽

Cloud Computing ◽

Resource Provisioning ◽

Cloud Environment ◽

Allocation Decision ◽

Research Article ◽

Large Pool ◽

Efficient Resource ◽

Algorithm Implementation

The Cloud environment is a large pool of virtually available resources that perform thousands of computational operations in real time for resource provisioning. Allocation and scheduling are two major pillars of said provisioning with quality of service (QoS). This involves complex modules such as: identification of task requirement, availability of resource, allocation decision, and scheduling operation. In the present scenario, it is intricate to manage cloud resources, as Service provider aims to provide resources to users on productive cost and time. In proposed research article, an optimized technique for efficient resource allocation and scheduling is presented. The proposed policy used heuristic based, ant colony optimization (ACO) for well-ordered allocation. The suggested algorithm implementation done using simulation, shows better results in terms of cost, time and utilization as compared to other algorithms.

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ENERGY EFFICIENT LOAD BALANCING FOR CLOUD DATA CENTER

Asian Journal of Pharmaceutical and Clinical Research ◽

10.22159/ajpcr.2017.v10s1.19604 ◽

2017 ◽

Vol 10 (13) ◽

pp. 162

Author(s):

Amey Rivankar ◽

Anusooya G

Keyword(s):

Cloud Computing ◽

Load Balancing ◽

Energy Efficient ◽

Large Scale ◽

Virtual Machines ◽

Cloud Data Center ◽

Cloud Data ◽

Efficient Resource ◽

Cloud Data Centers ◽

Near Future

Cloud computing is the latest trend in large-scale distributed computing. It provides diverse services on demand to distributive resources such asservers, software, and databases. One of the challenging problems in cloud data centers is to manage the load of different reconfigurable virtual machines over one another. Thus, in the near future of cloud computing field, providing a mechanism for efficient resource management will be very significant. Many load balancing algorithms have been already implemented and executed to manage the resources efficiently and adequately. The objective of this paper is to analyze shortcomings of existing algorithms and implement a new algorithm which will give optimized load balancingresult.

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