Model Checking of Cost-Effective Elasticity Strategies in Cloud Computing

2018 ◽  
pp. 80-92 ◽  
Author(s):  
Rawand Guerfel ◽  
Zohra Sbaï ◽  
Rahma Ben Ayed
Keyword(s):  
Cloud Computing ◽  
Model Checking ◽  
Cost Effective ◽  
Effective Elasticity

scholarly journals Efficient and Cost-effective Service Broker Policy Based on User Priority in VIKOR for Cloud Computing

2021 ◽  
pp. 1-8
Author(s):  
Mohammed Radi ◽  
Ali Alwan ◽  
Abedallah Abualkishik ◽  
Adam Marks ◽  
Yonis Gulzar
Keyword(s):  
Cloud Computing ◽  
Response Time ◽  
Service Providers ◽  
Cost Effective ◽  
Cloud Service ◽  
User Preferences ◽  
Cloud Environment ◽  
Data Centre ◽  
Wide Range ◽  
Service Broker

Cloud computing has become a practical solution for processing big data. Cloud service providers have heterogeneous resources and offer a wide range of services with various processing capabilities. Typically, cloud users set preferences when working on a cloud platform. Some users tend to prefer the cheapest services for the given tasks, whereas other users prefer solutions that ensure the shortest response time or seek solutions that produce services ensuring an acceptable response time at a reasonable cost. The main responsibility of the cloud service broker is identifying the best data centre to be used for processing user requests. Therefore, to maintain a high level of quality of service, it is necessity to develop a service broker policy that is capable of selecting the best data centre, taking into consideration user preferences (e.g. cost, response time). This paper proposes an efficient and cost-effective plan for a service broker policy in a cloud environment based on the concept of VIKOR. The proposed solution relies on a multi-criteria decision-making technique aimed at generating an optimized solution that incorporates user preferences. The simulation results show that the proposed policy outperforms most recent policies designed for the cloud environment in many aspects, including processing time, response time, and processing cost. KEYWORDS Cloud computing, data centre selection, service broker, VIKOR, user priorities

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.

Cloud Computing for Global Software Development

2015 ◽  
pp. 897-908 ◽  
Author(s):  
Thamer Al-Rousan
Keyword(s):  
Cloud Computing ◽  
Software Development ◽  
Process Model ◽  
Risk Model ◽  
Cost Effective ◽  
Information And Communications Technology ◽  
Global Software Development ◽  
Computing Paradigm ◽  
It Systems ◽  
Computing Platforms

The cloud computing paradigm offers an innovative and promising vision concerning Information and Communications Technology. Actually, it provides the possibility of improving IT systems management and is changing the way in which hardware and software are designed and purchased. This paper introduces challenges in Global Software Development (GSD) and application of cloud computing platforms as a solution to some problems. Even though cloud computing provides compelling benefits and cost-effective options for GSD, new risks and difficulties must be taken into account. Thus, the paper presents a study about the risk issues involved in cloud computing. It highlights the different types of risks and how their existence can affect GSD. It also proposes a new risk management process model. The risk model employs new processes for risk analysis and assessment. Its aim is to analyse cloud risks quantitatively and, consequently, prioritise them according to their impact on different GSD objectives.

Big Data Tools for Computing on Clouds and Grids

2018 ◽  
pp. 152-174
Author(s):  
Forest Jay Handford
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Data Processing ◽  
Cost Effective ◽  
The Other ◽  
Relative Cost ◽  
Scientific Communities ◽  
Academic Communities ◽  
Historic Data ◽  
The Government

The number of tools available for Big Data processing have grown exponentially as cloud providers have introduced solutions for businesses that have little or no money for capital expenditures. The chapter starts by discussing historic data tools and the evolution to those of today. With Cloud Computing, the need for upfront costs has been removed, costs are continuing to fall and costs can be negotiated. This chapter reviews the current types of Big Data tools, and how they evolved. To give readers an idea of costs, the chapter shows example costs (in today's market) for a sampling of the tools and relative cost comparisons of the other tools like the Grid tools used by the government, scientific communities and academic communities. Readers will take away from this chapter an understanding of what tools work best for several scenarios and how to select cost effective tools (even tools that are unknown today).

Brokering Cloud Computing

2018 ◽  
pp. 230-251
Author(s):  
Georgia Dede ◽  
George Hatzithanasis ◽  
Thomas Kamalakis ◽  
Christos Michalakelis
Keyword(s):  
Cloud Computing ◽  
Business Model ◽  
Cost Effective ◽  
Vital Role ◽  
Third Party ◽  
Cloud Provider ◽  
Cloud Broker ◽  
New Business ◽  
Production Techniques ◽  
Ict Industry

Cloud computing is a rapidly evolving computational model, which has succeeded in transforming the ICT industry and the economy's production techniques by making corresponding services even more accessible to businesses, offering cost-effective solutions. The cloud broker is a new business model, derived from the necessity of finding the best provider, or the best bundle for the end user. It is a third-party business that assists clients in making the best decision in choosing the most suitable cloud provider and the most effective service bundle for their needs, in terms of performance and price. This chapter analyzes the cloud broker business model and highlights the broker's vital role and the benefits that arise from the use of its services. In that context, it describes cloud brokering and a market analysis, together with the most popular pricing models, together with a comparison among them, concluding with future directions for the expansion of the brokerage model.

Using Obstacles for Systematically Modeling, Analysing, and Mitigating Risks in Cloud Adoption

2013 ◽  
pp. 275-296 ◽  
Author(s):  
Shehnila Zardari ◽  
Funmilade Faniyi ◽  
Rami Bahsoon
Keyword(s):  
Cloud Computing ◽  
Cost Effective ◽  
Service Level ◽  
Management Framework ◽  
Cloud Adoption ◽  
Risk Management Framework ◽  
Cost Implications ◽  
Effective Service ◽  
Cloud User

In this chapter, the authors motivate the need for a systematic approach to cloud adoption from the risk perspective. The enormous potential of cloud computing for improved and cost-effective service delivery for commercial and academic purposes has generated unprecedented interest in its adoption. However, a potential cloud user faces numerous risks regarding service requirements, cost implications of failure, and uncertainty about cloud providers’ ability to meet service level agreements. Hence, the authors consider two perspectives of a case study to identify risks associated with cloud adoption. They propose a risk management framework based on the principle of GORE (Goal-Oriented Requirements Engineering). In this approach, they liken risks to obstacles encountered while realising cloud user goals, therefore proposing cloud-specific obstacle resolution tactics for mitigating identified risks. The proposed framework shows benefits by providing a principled engineering approach to cloud adoption and empowering stakeholders with tactics for resolving risks when adopting the cloud.

Cloud Computing Enabled Virtual Learning Environment

2013 ◽  
Vol 4 (3) ◽  
pp. 52-65
Author(s):  
Rabindra Ku Jena
Keyword(s):  
Cloud Computing ◽  
Learning Environment ◽  
Teaching And Learning ◽  
Cost Effective ◽  
Virtual Learning ◽  
Virtual Learning Environment ◽  
Technological Advancement ◽  
Learning And Teaching ◽  
Information And Communication ◽  
E Learning

Recent advances in Information and Communication Technology (ICT) provide an opportunity to build a self growing and sharing virtual environment for teaching and learning. Cloud computing is one of the latest technological advancement in ICT domain. Cloud computing technologies have changed the way applications are developed and accessed. A Virtual Learning Environment (VLE) is a system for delivering learning materials to students via the web. Cloud computing is provides one of the most emerging cost effective solution for virtual learning and teaching environment. This paper discusses how cloud computing has been contributing to virtual learning environment and an overview of the current state of the structure of Cloud Computing based e-learning is discussed. The readers will also find a brief overview of cloud computing and the different efficient cloud based virtual learning models. Towards the end different offers from different cloud vendors are discussed.

Drivers of Cloud Computing Adoption for E-Government Services Implementation

2015 ◽  
Vol 6 (1) ◽  
pp. 1-14 ◽  
Author(s):  
Fathey Mohammed ◽  
Othman Bin Ibrahim
Keyword(s):  
Cloud Computing ◽  
Public Sector ◽  
Information And Communication Technologies ◽  
Public Management ◽  
Cost Effective ◽  
The Public ◽  
Cloud Computing Adoption ◽  
Public Sector Organizations ◽  
Provision Of Services ◽  
Governmental Institutions

Adopting and using Information and Communication Technologies (ICTs) in the public sector affords undeniable benefits in terms of efficient and cost-effective provision of services, facilitating public management and promoting transparency and participation through e-government systems. However, many governments around the globe face many challenges and still struggle to implement e-government initiatives successfully. Cloud computing may offer a new chance to address many of these challenges by providing elastic scalable, customized, and highly available environment. Moreover, it is already adopted and proved to be advantageous for governmental institutions in different countries. By analyzing some cases, this paper extracts the main drivers of cloud computing adoption in the public sector organizations. Cost saving and the need for scalability are the main common factors that drive public sector organizations to move their services to the cloud.

scholarly journals Multiple Perspective of Cloud Computing Adoption Determinants in Higher Education a Systematic Review

2019 ◽  
Vol 9 (3) ◽  
pp. 89-109 ◽  
Author(s):  
Mohammed Banu Ali
Keyword(s):  
Higher Education ◽  
Cloud Computing ◽  
Effective Means ◽  
Cost Effective ◽  
Teaching Staff ◽  
Multiple Perspectives ◽  
Adoption Studies ◽  
Cloud Adoption ◽  
Cloud Computing Adoption ◽  
Skilled Personnel

Cloud computing has become a major talking point in recent times. An innovation such as cloud computing for higher education institutions (HEI) can be a cost effective means to operate their IT systems effectively without having to spend vast amounts of money on developing their IT infrastructure. HEIs also face the burden of several challenges e.g. limited infrastructure resources and IT budget, as well as limited teaching staff, technical experts, and IT skilled personnel. With support from a systematic literature review approach, this article identifies the key determinants of cloud adoption from a technological, organisational, environmental and personal perspectives. A total of 17 cloud adoption studies in the HEI context and their respected models from the period of 2012 to 2017 are reviewed and discussed. The findings suggest a lack of cloud adoption studies in the HEI domain from multiple perspectives, particularly in relation to the wider socio-technical concerns related to cloud adoption and future studies related to this research gap are deliberated.

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