A New Secured Cloud Computing Service: A Case Study of Large Scale Linear Regression

2018 ◽  
Author(s):  
Jannatul Ferdush ◽  
M.M.A. Hashem
Keyword(s):  
Cloud Computing ◽  
Linear Regression ◽  
Large Scale ◽  
Cloud Computing Service

scholarly journals The Challenges of Institutional Distance: Data Privacy Issues in Cloud Computing

2018 ◽  
Vol 24 (1) ◽  
pp. 161-181 ◽  
Author(s):  
Yashar Abed ◽  
Meena Chavan
Keyword(s):  
Cloud Computing ◽  
Multinational Corporations ◽  
Data Privacy ◽  
Service Providers ◽  
Host Countries ◽  
Case Study Methodology ◽  
Regulatory Constraints ◽  
Cloud Computing Service ◽  
Privacy Issues

Data protection and data privacy are significant challenges in cloud computing for multinational corporations. There are no standard laws to protect data across borders. The institutional and regulatory constraints and governance differ across countries. This article explores the challenges of institutional constraints faced by cloud computing service providers in regard to data privacy issues across borders. Through a qualitative case study methodology, this research compares the institutional structure of a few host countries, with regard to data privacy in cloud computing and delineates a relative case study. This article will also review the cloud computing legal frameworks and the history of cloud computing to make the concept more comprehensible to a layman.

Minimization of Energy Using Heuristic Resource Allocation and Migration for Cloud Computing

2021 ◽  
Vol 12 (1) ◽  
pp. 74-83
Author(s):  
Manjunatha S. ◽  
Suresh L.
Keyword(s):  
Cloud Computing ◽  
Data Center ◽  
Large Scale ◽  
Data Centers ◽  
Service Providers ◽  
Cost Effective ◽  
Cooling Systems ◽  
Operational Costs ◽  
Cloud Computing Service ◽  
And Migration

Data center is a cost-effective infrastructure for storing large volumes of data and hosting large-scale service applications. Cloud computing service providers are rapidly deploying data centers across the world with a huge number of servers and switches. These data centers consume significant amounts of energy, contributing to high operational costs. Thus, optimizing the energy consumption of servers and networks in data centers can reduce operational costs. In a data center, power consumption is mainly due to servers, networking devices, and cooling systems, and an effective energy-saving strategy is to consolidate the computation and communication into a smaller number of servers and network devices and then power off as many unneeded servers and network devices as possible.

scholarly journals Contextual Contracts for Component-Based Resource Abstraction in a Cloud of HPC Services

2019 ◽  
Author(s):  
Wagner Al Alam ◽  
Francisco Carvalho Junior
Keyword(s):  
Cloud Computing ◽  
Parallel Computing ◽  
Large Scale ◽  
Matrix Multiplication ◽  
Small Scale ◽  
Computing Systems ◽  
Computing Platform ◽  
Computing Platforms

The efforts to make cloud computing suitable for the requirements of HPC applications have motivated us to design HPC Shelf, a cloud computing platform of services for building and deploying parallel computing systems for large-scale parallel processing. We introduce Alite, the system of contextual contracts of HPC Shelf, aimed at selecting component implementations according to requirements of applications, features of targeting parallel computing platforms (e.g. clusters), QoS (Quality-of-Service) properties and cost restrictions. It is evaluated through a small-scale case study employing a componentbased framework for matrix-multiplication based on the BLAS library.

The Research of Cloud Computing Service Model

2014 ◽  
Vol 556-562 ◽  
pp. 6262-6265 ◽  
Author(s):  
Yuan Zhang ◽  
Lei Huang
Keyword(s):  
Cloud Computing ◽  
Large Scale ◽  
Development Trend ◽  
Service Model ◽  
Computing Services ◽  
Cloud Computing Service ◽  
Cloud Computing Services ◽  
The Difference ◽  
The Development Trend

Cloud computing is developing rapidly in recent years. Everyone is talking about cloud computing that provide large scale service to replace computers and software. Cloud computing has already become the development trend of present IT circles. This paper explains the basics of Cloud computing, analyzes the difference of cloud computing services, and points out the characteristics of the cloud computing services.

Batch Job Based Auto-Scaling System on Cloud Computing Platform

2013 ◽  
Vol 756-759 ◽  
pp. 2386-2390
Author(s):  
Yuan Yuan Guo ◽  
Jing Li ◽  
Xin Chun Liu ◽  
Wei Wei Wang
Keyword(s):  
Cloud Computing ◽  
Large Scale ◽  
Information Science ◽  
Service Providers ◽  
Setup Time ◽  
Affecting Factors ◽  
Computing Platform ◽  
Cloud Computing Service ◽  
Cloud Computing Platform ◽  
Auto Scaling

With the quick development of information science, it becomes much harder to deal with a large scale of data. In this case, cloud computing begins to become a hot topic as a new computing model because of its good scalability. It enables customers to acquire and release computing resources from and to the cloud computing service providers according to current workload. The scaling ability is achieved by system automatically according to auto scaling policies reserved by customers in advance, and it can greatly decrease users operating burden. In this paper, we proposed a new architecture of auto-scaling system, used auto-scaling technology on batch jobs based system and considered tasks deadlines and VM setup time as affecting factors on auto-scaling policy besides substrate resource utilities.

An Adaptive Load Balancing Method of Adjustment Based on Cloud Computing Resources

2013 ◽  
Vol 385-386 ◽  
pp. 1708-1712
Author(s):  
Xiao Ping Jiang ◽  
Teng Jiang ◽  
Tao Zhang ◽  
Cheng Hua Li
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Large Scale ◽  
Scheduling Algorithm ◽  
Utilization Rate ◽  
Computing Technology ◽  
Service Platform ◽  
Technology System ◽  
Cluster Architecture ◽  
Cloud Computing Service

By combining LVS cluster architecture and could computing technology, system architecture of the cloud computing service platform is proposed. Cloud computing technology is suitable to support large-scale applications with flash crowds by support elastic amounts of bandwidth and storage resource etc. But traditional algorithms of load balancing provided by LVS are unsuitable for the proposed service platform, because these algorithms are designed for static server resource provided by traditional cluster technology. Taking both the overall utilization rate of server resources and the active connections of the server into counter, an adaptive adjustable load balancing algorithms (Least Comprehensive Utilization and Connection Scheduling algorithm, called LUCU) is proposed in this paper. According the utilization of cloud resource and the users demand, automatic switching between Round Robin (RR) algorithm and LUCU algorithm is achieved. When the cloud capacities are not able to meet the instantaneous demands, LUCU is chosen instead of RR. The proposed platform and algorithm are verified and evaluated using large-scare simulation experiments. The test results show that the equilibrium load is nearly achieved by adopting the proposed algorithms.

Sustainability of Cloud-Based Smart Society

2021 ◽  
pp. 113-132
Author(s):  
Dimpal Tomar ◽  
Pooja Singh ◽  
Jai Prakash Bhati ◽  
Pradeep Tomar
Keyword(s):  
Cloud Computing ◽  
Large Scale ◽  
Computing Power ◽  
Sustainable Environment ◽  
Whole Process ◽  
Sensor Devices ◽  
Generic Architecture ◽  
Potential Use

Today, everything is progressing to ‘Smart' to enhance the environment via technological progress including IoT, big data, AI, ICT, and so on. But, in this whole process, the sustainability of being ‘smart' is implemented by the cloud-based technology, which also acts as an engine. Smart society is another live example of this era that makes potential use of digital technology and sensor devices to improve people's lives through the internet. It also incorporates cloud computing, which significantly benefits them by offering a sustainable environment to access the computing power at large scale, which they could not previously access due to lack of resources. This chapter provide a broad overview of smart society that covers the scope and services, technological pillars, features necessities to be titled as ‘smart', and a sustainable development. Also, it broadly covers the role of cloud computing, related technologies, and generic architecture for the sustainability of smart societies followed by applications with a case study and challenges.

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