The Key of Application Software Service in Science Cloud Computing

Several trends are opening up the era of cloud computing. It moves the application software and databases to the centralized large data centers, where the management of the data and services may not be fully trustworthy. This work studies the problem of ensuring the integrity of data storage in cloud computing. We use RSAs homomorphic property to construct the protocol of provable data possession. In our protocol, we can aggregate multiple Provable Data possession into one, and reduce the overhead of communication. While prior work on ensuring remote data integrity often lacks the specific implementations, this paper achieves an effective proof of storage protocol. Extensive security and performance analysis show that the proposed scheme is highly efficient and provably secure.

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Key Technologies of Cloud Computing Model

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.765-767.972 ◽

2013 ◽

Vol 765-767 ◽

pp. 972-974

Author(s):

Li Fu Hsu

Keyword(s):

Cloud Computing ◽

Data Storage ◽

Programming Model ◽

Computing Model ◽

Application Systems ◽

Key Technologies ◽

New Type ◽

Software Service ◽

Basic Characteristics ◽

Definition Of

Could computing is a new type of computing mode, it distributes computation task on the resource pool which consists of massive computers, so the application systems can obtain the computation power, the storage space and software service according to its demand. The understanding of cloud computing is developing and changing constantly, cloud computing still has no unanimous definition. This paper describes three main service forms of cloud computing: SAAS, PAAS, IAAS, compared the definition of cloud computing which is given by Google, Amazon, IBM and other companies, summarized the basic characteristics of cloud computing, and emphasized on the key technologies such as data storage, data management, virtualization and programming model.

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Coming Together of Big Data and Cloud Computing : A Review

International Journal of Scientific Research in Computer Science Engineering and Information Technology ◽

10.32628/cseit206613 ◽

2020 ◽

pp. 118-137

Author(s):

Muneeba Afzal Mukhdoomi ◽

Ashish Oberoi ◽

Ankur Gupta

Keyword(s):

Cloud Computing ◽

Big Data ◽

Fault Tolerant ◽

The Other ◽

Data Sets ◽

Application Software ◽

Data Handling ◽

Computing Power ◽

Rapid Pace ◽

Tools And Techniques

Big data stands for sheer amount of data that is growing unceasingly at a rapid pace. Big Data demands high-powered, robust, reliable, fault-tolerant tools and techniques in order to make it convenient to process, analyse and uproot new insights from Big Data. Big data refers to huge, heterogeneous amount of details, facts and data generating at constantly rising rate. The data sets in Big Data are too bulky or extensive, as a result classical data handling application software are not competent enough to administer them. On the other hand, Cloud computing is a resourceful technology providing high computing power, scalability, computing resources as and when required for processing, storage, analytics and visualization of Big Data. Therefore, cloud computing can be regarded as a feasible and applicable technology which promises to handle Big Data challenges and also provides here and now infrastructures with all the mandatory resources. This paper will mainly review processing of big data cloud using Hadoop and spark in cloud, advantages of driving Big Data using cloud computing and applications of Big data in Cloud.

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Cloud Computing: Security Issues and Challenges

Journal of Wireless Communications ◽

10.21174/jowc.v1i1.73 ◽

2016 ◽

Vol 1 (1) ◽

Cited By ~ 2

Author(s):

Muhammad Aamir Nadeem

Keyword(s):

Cloud Computing ◽

Service Oriented Architecture ◽

Application Software ◽

Internet Protocols ◽

Cloud Computing Security ◽

Counter Measures ◽

Security Issues ◽

Service Oriented ◽

And Storage ◽

Threat Environment

Cloud Computing is a recently emerged paradigm, for sure out of infancy but yet not matured, is aiming at provisioning of computing resources in most efficient and economical way. Virtualization is the key technique behind Cloud Computing. It adopts Service Oriented Architecture which enables its clients to transform their requirements problems into services thus benefited by the solution provided by the Cloud. Besides provisioning of computing and storage resources, it expanded the traditional threat environment. The vulnerabilities and threats to Cloud are the issues which if successfully overcome would make Cloud a digital fort for its users. This paper surveys the weaknesses in Cloud architecture, internet protocols, operating system and application software, and in crypto system. It also identifies the challenges related to Cloud security and counter measures to resolve those issues.

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A RSA-Based Data Integrity Check without Original Data in the Cloud Computing

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.44-47.3726 ◽

2010 ◽

Vol 44-47 ◽

pp. 3726-3730

Author(s):

Jian Hong Zhang ◽

Xue Liu ◽

Cheng Lian Liu

Keyword(s):

Cloud Computing ◽

Data Storage ◽

Data Centers ◽

Large Data ◽

Data Integrity ◽

Original Data ◽

Application Software ◽

Security Challenges ◽

Integrity Check

At present, Cloud computing is becoming a hot topic in the field of research and applications. It moves the application software and databases to the centralized large data centers, where the management of the data and services may not be fully trustworthy. However,this unique paradigm brings about many new security challenges, which have not been well understood. As such, it has become crucial for an archive service to be capable of providing evidence to demonstrate the integrity of data stored in it. This work studies the problem of ensuring the integrity of data storage in Cloud Computing.

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HTSCC A Hybrid Task Scheduling Algorithm in Cloud Computing Environment

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY ◽

10.24297/ijct.v17i2.7584 ◽

2018 ◽

Vol 17 (2) ◽

pp. 7236-7246 ◽

Cited By ~ 1

Author(s):

Rasha Ali Al-Arasi ◽

Anwar Saif

Keyword(s):

Cloud Computing ◽

Resource Utilization ◽

Task Scheduling ◽

Scheduling Algorithm ◽

Application Software ◽

Computing Environment ◽

Cloud Computing Environment ◽

Task Scheduling Algorithm ◽

Np Hard Problem ◽

Software And Hardware

Nowadays, cloud computing makes it possible for users to use the computing resources like application, software, and hardware, etc., on pay as use model via the internet. One of the core and challenging issue in cloud computing is the task scheduling. Task scheduling problem is an NP-hard problem and is responsible for mapping the tasks to resources in a way to spread the load evenly. The appropriate mapping between resources and tasks reduces makespan and maximizes resource utilization. In this paper, we present and implement an independent task scheduling algorithm that assigns the users' tasks to multiple computing resources. The proposed algorithm is a hybrid algorithm for task scheduling in cloud computing based on a genetic algorithm (GA) and particle swarm optimization (PSO). The algorithm is implemented and simulated using CloudSim simulator. The simulation results show that our proposed algorithm outperforms the GA and PSO algorithms by decreasing the makespan and increasing the resource utilization.

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The Education Value Of Cloud Computing

Contemporary Issues in Education Research (CIER) ◽

10.19030/cier.v3i7.219 ◽

2010 ◽

Vol 3 (7) ◽

pp. 37 ◽

Cited By ~ 11

Author(s):

Harry Katzan, Jr

Keyword(s):

Cloud Computing ◽

Service Provider ◽

Educational Institutions ◽

The Internet ◽

Total Cost Of Ownership ◽

Total Cost ◽

Economy Of Scale ◽

Cost Of Ownership ◽

Lower Total Cost ◽

Software Service

Cloud computing is a technique for supplying computer facilities and providing access to software via the Internet. Cloud computing represents a contextual shift in how computers are provisioned and accessed. One of the defining characteristics of cloud software service is the transfer of control from the client domain to the service provider. Another is that the client benefits from economy of scale on the part of the provider. Cloud computing is particularly attractive to small and medium-sized educational institutions, because it represents a lower total cost of ownership (TCO) than alternative modalities.

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Cloud Computing and Student’s Record Management Efficiency in Niger Delta University

European Journal of Business Management and Research ◽

10.24018/ejbmr.2020.5.5.490 ◽

2020 ◽

Vol 5 (5) ◽

Author(s):

Amakiri Don-solomon ◽

Michael Joshua Ayawei

Keyword(s):

Cloud Computing ◽

Niger Delta ◽

Rank Order ◽

Predictor Variable ◽

Public Image ◽

Record Management ◽

Platform As A Service ◽

Competitive Edge ◽

Management Efficiency ◽

Software Service

Information is relatively the life conduit of any organization. An inappropriate management of records and the information contained therein could cost organization both operational and financial fortune. The focus of this paper was to establish the empirical link between cloud computing and student’s record management efficiency in Niger Delta University. Software as a service (Saas) and Platform as a service (Paas) were used to operationalize the predictor variable, while records accessibility and safety were used as measures of record management efficiency. 301 staffers were sampled randomly with questionnaire. Data collected was inferential analyzed using spearman rank order correlation coefficient with the aid of SPSS. Result shows high correlation amongst all variables which means that increase cloud computing practices in the institution would enhance record’s management efficiency. The study recommends therefore that management of Niger Delta University should leverage on available software service provides to store all students’ records on cloud to avoid losses of records due to flood and undue physical environmental conditions. Also, cloud computing model should be utilized for efficiency in record management to create good public image for vantage competitive edge.

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