scholarly journals Scheduling Method of Data-Intensive Applications in Cloud Computing Environments

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Xiong Fu ◽  
Yeliang Cang ◽  
Xinxin Zhu ◽  
Song Deng
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Completion Time ◽  
Network Performance ◽  
Communication Delay ◽  
Data Intensive ◽  
Related Data ◽  
Scheduling Method ◽  
Placement Algorithm ◽  
User Tasks

The virtualization of cloud computing improves the utilization of resources and energy. And a cloud user can deploy his/her own applications and related data on a pay-as-you-go basis. The communications between an application and a data storage node, as well as within the application, have a great impact on the execution efficiency of the application. The locations of subtasks of an application and the data that transferred between the subtasks are the main reason why communication delay exists. The communication delay can affect the completion time of the application. In this paper, we take into account the data transmission time and communications between subtasks and propose a heuristic optimal virtual machine (VM) placement algorithm. Related simulations demonstrate that this algorithm can reduce the completion time of user tasks and ensure the feasibility and effectiveness of the overall network performance of applications when running in a cloud computing environment.

NoSQL Databases

2014 ◽  
pp. 186-215 ◽  
Author(s):  
Ganesh Chandra Deka
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Processing ◽  
Open Source ◽  
Data Storage ◽  
Big Data Processing ◽  
Nosql Databases ◽  
Data Intensive ◽  
Huge Data ◽  
Data Intensive Applications

NoSQL databases are designed to meet the huge data storage requirements of cloud computing and big data processing. NoSQL databases have lots of advanced features in addition to the conventional RDBMS features. Hence, the “NoSQL” databases are popularly known as “Not only SQL” databases. A variety of NoSQL databases having different features to deal with exponentially growing data-intensive applications are available with open source and proprietary option. This chapter discusses some of the popular NoSQL databases and their features on the light of CAP theorem.

Big Data in Massive Parallel Processing

2018 ◽  
pp. 276-302 ◽  
Author(s):  
Vijayalakshmi Saravanan ◽  
Anpalagan Alagan ◽  
Isaac Woungang
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Storage ◽  
Mobile Phones ◽  
Scientific Data ◽  
Computational Power ◽  
Data Intensive ◽  
Heterogeneous Devices ◽  
Processing Power ◽  
Massive Parallel Processing

With the advent of novel wireless technologies and Cloud Computing, large volumes of data are being produced from various heterogeneous devices such as mobile phones, credit cards, and computers. Managing this data has become the de-facto challenge in the current Information Systems. According to Moore's law, processor speeds are no longer doubling, the processing power also continuing to grow rapidly which leads to a new scientific data intensive problem in every field, especially Big Data domain. The revolution of Big Data lies in the improved statistical analysis and computational power depend on its processing speed. Hence, the need to put massively multi-core systems on the job is vital in order to overcome the physical limits of complexity and speed. It also arises with many challenges such as difficulties in capturing massive applications, data storage, and analysis. This chapter discusses some of the Big Data architectural challenges in the perspective of multi-core processors.

NoSQL Databases

2015 ◽  
pp. 109-152 ◽  
Author(s):  
Mainak Adhikari ◽  
Sukhendu Kar
Keyword(s):  
Cloud Computing ◽  
Social Networking ◽  
Data Storage ◽  
Social Networking Sites ◽  
Nosql Databases ◽  
Data Intensive ◽  
Huge Data ◽  
Nosql Database ◽  
Real Time Applications ◽  
Data Intensive Applications

NoSQL database provides a mechanism for storage and access of data across multiple storage clusters. NoSQL dabases are finding significant and growing industry to meet the huge data storage requirements of Big data, real time applications, and Cloud Computing. NoSQL databases have lots of advantages over the conventional RDBMS features. NoSQL systems are also referred to as “Not only SQL” to emphasize that they may in fact allow Structured language like SQL, and additionally, they allow Semi Structured as well as Unstructured language. A variety of NoSQL databases having different features to deal with exponentially growing data intensive applications are available with open source and proprietary option mostly prompted and used by social networking sites. This chapter discusses some features and challenges of NoSQL databases and some of the popular NoSQL databases with their features on the light of CAP theorem.

Exploring the benefits of cloud computing for sustainable construction in Nigeria

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ayodeji Emmanuel Oke ◽  
Ahmed Farouk Kineber ◽  
Ibraheem Al-Bukhari ◽  
Ibukun Famakin ◽  
Chukwuma Kingsley
Keyword(s):  
Cloud Computing ◽  
Construction Industry ◽  
Data Storage ◽  
Construction Projects ◽  
Situational Awareness ◽  
Sampling Technique ◽  
Project Planning ◽  
Sustainable Construction ◽  
Content Type ◽  
Related Data

Purpose Cloud computing is one of the digitalization principles used in some sectors like banking, health and construction industry. This paper aims to examine the benefits of applying cloud computing for construction sustainability in Nigeria. Design/methodology/approach The cloud computing benefits-related data were retrieved from previous studies and complemented with a questionnaire survey to obtain data from stakeholders involved in the execution of construction projects in Lagos State, Nigeria, through a convenient sampling technique. In addition, the relative importance index (RII) technique was used to investigate the acquired data. At the same time, analysis was accomplished using exploratory factor analysis (EFA). Findings indicated that numerous benefits could be derived by adopting cloud computing in the Nigerian construction industry. Findings The findings from RII analysis showed the significant benefits of data storage ubiquity (i.e. location independence), high situational awareness, team collaboration, compatibility with advanced production facilities and improved project planning. Furthermore, the analysis of these benefits was conducted using EFA for the four construction maxims: construction productivity, back-office activities, design management and billing. Originality/value This research illustrated the benefits of cloud computing in achieving a successful construction project. Besides, these findings are not only useful for achieving sustainable construction in Nigeria but also applicable to many developing countries.

scholarly journals E -Patient Deidentified Record Integration using Cloud Computing

2020 ◽  
Vol 9 (2) ◽  
pp. 157-160
Keyword(s):  
Public Health ◽  
Cloud Computing ◽  
Data Storage ◽  
Modern Architecture ◽  
Public Health Care ◽  
Health Record ◽  
Related Data ◽  
Patient Health ◽  
Health Related ◽  
Care Problems

With the development of science and technology, the design of modern architecture is becoming more and more attractive. Now a days the medical fields become more wide development in machinery the same way the data storage also developed higher . The main reason for proposing the paper is to store the patient data into the cloud. The patient can access the data from anywhere at any time. . The delivering of public health solutions can lead to increased efficiency in health related data. Many nations across the globe have launched aggressive stimulus programs aimed at solving public health care problems in efficient way .This paper proposed for maintain the patient health record in cloud computing.

scholarly journals Workflow Scheduling Techniques and Algorithms in IaaS Cloud: A Survey

2018 ◽  
Vol 8 (2) ◽  
pp. 853
Author(s):  
K. Kalyana Chakravarthi ◽  
Vaidhehi Vijayakumar
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Scientific Data ◽  
Resource Provisioning ◽  
Workflow Scheduling ◽  
Data Intensive ◽  
Big Data Applications ◽  
Complete Study ◽  
Future Direction ◽  
High Level

In the modern era, workflows are adopted as a powerful and attractive paradigm for expressing/solving a variety of applications like scientific, data intensive computing, and big data applications such as MapReduce and Hadoop. These complex applications are described using high-level representations in workflow methods. With the emerging model of cloud computing technology, scheduling in the cloud becomes the important research topic. Consequently, workflow scheduling problem has been studied extensively over the past few years, from homogeneous clusters, grids to the most recent paradigm, cloud computing. The challenges that need to be addressed lies in task-resource mapping, QoS requirements, resource provisioning, performance fluctuation, failure handling, resource scheduling, and data storage. This work focuses on the complete study of the resource provisioning and scheduling algorithms in cloud environment focusing on Infrastructure as a service (IaaS). We provided a comprehensive understanding of existing scheduling techniques and provided an insight into research challenges that will be a possible future direction to the researchers.

scholarly journals Performance Analysis of Load Balancing Algorithms using Microsoft Windows Azure Cloud Platform

2019 ◽  
Vol 8 (10) ◽  
pp. 419-428
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Data Storage ◽  
Storage System ◽  
Research Work ◽  
Work Load ◽  
Operation System ◽  
Related Data ◽  
Data Storage System ◽  
Time Systems

As we are living in technology dominating era, the role of cloud computing as one of the rapidly emerging technologies is highly indispensable. This cloud computing holds load distribution concept, which is usually addressed as a challenging phenomenon, to handle multiple requests which are coming from geographically differentiated locations. There are various load balancing mechanisms exits for the effective distribution of the work load. This load balancing mechanism takes the advent of the virtualization approach on resources to optimize the utilization of the resources. In virtualization, the creation of virtual machine and mapping the same to the suitable request makes the cloud computing a prominent technology. This paper work considers various load balancing mechanisms for the allocation of resources and also shows a comparative study on them with the help of an example scenario. These load balancing algorithms are applied on applications like real-time systems and prioritized medical field related data storage system. This research work is implemented in Windows Azure Platform as Cloud Operation System under load balancing component.

PENGGUNAAN INTERNET OF THINGS DALAM PEMASARAN PRODUK PERTANIAN

2018 ◽  
Vol 3 (2) ◽  
pp. 74
Author(s):  
Helina Apriyani ◽  
Sismadi Sismadi ◽  
Sefrika Sefrika
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Data Storage ◽  
Electronic Devices ◽  
Agricultural Products ◽  
Main Concept ◽  
Farmers Market ◽  
Incremental Method ◽  
Sales Process ◽  
Internet Connections

AbstrakInternet of things (IoT) adalah sebuah konsep yang menghubungkan komputer dan perangkat elektronik melalui internet dan dapat dikendalikan dari jarak jauh. Konsep terpenting dalam Internet of things (Iot) adalah modul sistem informasi, koneksi internet dan penyimpanan datanya dalam cloud computing. Konsep ini memiliki manfaat besar dalam perkembangan usaha dan kelangsungan bisnis perusahaan dimana hampir semua bidang menggunakan IoT untuk dapat bersaing di pasaran. Indonesia merupakan sebuah negara yang dianugerahi kekayaan alam yang melimpah ruah. Salah satu komoditi unggulan adalah produk pertanian. Penelitian ini bertujuan untuk membantu para petani dalam memasarkan produknya melalui e-commerce dengan menggunakan konsep Internet of things IoT. Metode penelitian dengan menggunakan metode incremental.  Incremental digunakan untuk mendesai produk, kemudian  diimplementasikan, dan diuji secara bertahap (setiap modul akan ditambahkan bertahap) hingga produk selesai. Hasil penelitian ini digunakan untuk membantu petani di Kabupaten Bogor untuk mendistribusikan penjualannya secara luas, meningkatkan revenue dan memutus rantai panjang proses penjualan. Kata kunci— sistem penjualan, incremental, Internet of Things (IoT), produk pertanian, Kabupaten Bogor Abstract Internet of things (IoT) is a concept that connects computers and electronic devices via the internet and can be controlled remotely. The main concept in Internet of things (IoT) is information systems, internet connections and data storage in cloud computing. This concept has great benefits in the efforts and efforts used to use IoT to be able to compete in the market. Indonesia is a country that is blessed with abundant natural resources. One of the leading commodities is agricultural products. This study aims to help farmers market their products through e-commerce using the IoT Internet of things concept. Research method using incremental method. Incremental to design the product, then implemented, and gradually delay (each module will be added gradually) until the product is finished. The results of this study are to help farmers in Bogor Regency to distribute sales widely, increase revenue and break the sales process. Keywords—sales system, incremental, Internet of Things (IoT), agricultural products, Kabupaten Bogor

A Group Collaboratable Proof of Retrievability Scheme for Cloud Data Storage

2014 ◽  
Vol 13 (7) ◽  
pp. 4625-4632
Author(s):  
Jyh-Shyan Lin ◽  
Kuo-Hsiung Liao ◽  
Chao-Hsing Hsu
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Cloud Service ◽  
Third Party ◽  
Group Collaboration ◽  
Cloud Data ◽  
Cloud Data Storage ◽  
Important Trend ◽  
Data Update ◽  
Proof Of Retrievability

Cloud computing and cloud data storage have become important applications on the Internet. An important trend in cloud computing and cloud data storage is group collaboration since it is a great inducement for an entity to use a cloud service, especially for an international enterprise. In this paper we propose a cloud data storage scheme with some protocols to support group collaboration. A group of users can operate on a set of data collaboratively with dynamic data update supported. Every member of the group can access, update and verify the data independently. The verification can also be authorized to a third-party auditor for convenience.

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