scholarly journals PREEMPTIVE PRIORITY SCHEDULING WITH AGING TECHNIQUE FOR EFFECTIVE DISASTER MANAGEMENT IN CLOUD

2013 ◽  
pp. 82-87
Author(s):  
MAHITHA. O ◽  
SUMA. V
Keyword(s):  
Cloud Computing ◽  
Disaster Management ◽  
Technology Innovation ◽  
Cost Effective ◽  
Cloud Services ◽  
Preemptive Scheduling ◽  
Preemptive Priority ◽  
Huge Amount ◽  
Novel Approach ◽  
Infant Stage

Cloud computing has intern the attention of today’s leading IT industries offering huge potential for more flexible, readily scalable and cost effective IT operation. There is a significant anticipation for emergent innovation and expanded capabilities of a cloud-based environment as the cloud services are still in the infant stage. With all technology innovation, the biggest gain will be realized when the Cloud services are efficiently utilized. One of the prime contributions of Cloud is its capacity to handle a huge amount of data for either processing or storing. The inadequacy of this model is that it is prone to disaster. Some of the popular scheduling techniques applied by the researchers and leading IT industries are Round Robin, Preemptive scheduling etc. This research focuses on a novel approach for disaster management through efficient scheduling mechanism.This paper presents a Priority Preemptive scheduling (PPS) with aging of the low priority jobs in Cloud for disaster management. The implementation results show that the jobs at any instance of time are provided with the resources and henceforth preventing them to enter the starvation, which is one of the prime causes for disaster.

An Analysis on the Terms and Conditions of the Clickwrap Agreement and the Benefits of Maintaining the Click Wrap Agreement in Cloud Computing

2022 ◽  
pp. 205-224
Author(s):  
Dhiviya Ram
Keyword(s):  
Cloud Computing ◽  
Service Provider ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Services ◽  
End User ◽  
Cloud Service Provider ◽  
Novel Approach ◽  
Cloud Service Providers ◽  
Provider Perspective

One of the most unique forms of contracting is apparent in cloud computing. Cloud computing, unlike other conventional methods, has adopted a different approach in the formation of binding contract that will be used for the governance of the cloud. This method is namely the clickwrap agreement. Click wrap agreement follows a take it or leave it basis in which the end users are provided with limited to no option in terms of having a say on the contract that binds them during the use of cloud services. The terms found in the contract are often cloud service provider friendly and will be less favourable to the end user. In this article, the authors examine the terms that are often found in the cloud computing agreement as well as study the benefit that is entailed in adopting this contracting method. This chapter has undertaken a qualitative study that comprises interviews of cloud service providers in Malaysia. Hence, this study is a novel approach that also provides insight in terms of the cloud service provider perspective regarding the click wrap agreement.

scholarly journals Towards Distributed Data Management in Fog Computing

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Vasileios Moysiadis ◽  
Panagiotis Sarigiannidis ◽  
Ioannis Moscholios
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Large Scale ◽  
Fog Computing ◽  
Cloud Services ◽  
Smart Devices ◽  
Distributed Data ◽  
Storage Allocation ◽  
Huge Amount ◽  
Distributed Data Storage

In the emerging area of the Internet of Things (IoT), the exponential growth of the number of smart devices leads to a growing need for efficient data storage mechanisms. Cloud Computing was an efficient solution so far to store and manipulate such huge amount of data. However, in the next years it is expected that Cloud Computing will be unable to handle the huge amount of the IoT devices efficiently due to bandwidth limitations. An arising technology which promises to overwhelm many drawbacks in large-scale networks in IoT is Fog Computing. Fog Computing provides high-quality Cloud services in the physical proximity of mobile users. Computational power and storage capacity could be offered from the Fog, with low latency and high bandwidth. This survey discusses the main features of Fog Computing, introduces representative simulators and tools, highlights the benefits of Fog Computing in line with the applications of large-scale IoT networks, and identifies various aspects of issues we may encounter when designing and implementing social IoT systems in the context of the Fog Computing paradigm. The rationale behind this work lies in the data storage discussion which is performed by taking into account the importance of storage capabilities in modern Fog Computing systems. In addition, we provide a comprehensive comparison among previously developed distributed data storage systems which consist of a promising solution for data storage allocation in Fog Computing.

Data Placement and Query for Cloud Computing Based on MyHeawood Network

2014 ◽  
Vol 543-547 ◽  
pp. 3100-3104
Author(s):  
Xin Huang ◽  
Yu Xing Peng ◽  
Peng Fei You
Keyword(s):  
Cloud Computing ◽  
Interconnection Network ◽  
Cost Effective ◽  
Data Placement ◽  
Cloud Services ◽  
Massive Data ◽  
Massive Datasets ◽  
The Family ◽  
The Cost ◽  
Hashing Algorithm

The massive data in Data centers network will be frequently accessed massive datasets for cloud services, which will lead to some new requirements and becomes an important issue for interconnection topology and data management in cloud computing. According to the cost-effective, the paper proposes a new interconnection network MyHeawood for cloud computing. MyHeawood is constructed by small switches and servers with dual-port NIC according to recursive method. The data placement strategy in MyHeawood is a hashing algorithm based on the family of hash functions. MyHeawood uses three replicas strategy base on master copy, which is allocated in different sub layer to improve the reliability of data.

scholarly journals Use of Cloud Computing In Higher Education of Pakistan

2019 ◽  
Vol 9 (2) ◽  
pp. 3221-3225
Keyword(s):  
Cloud Computing ◽  
Personal Data ◽  
Cost Effective ◽  
Cloud Services ◽  
Educational Institutions ◽  
Social Emotional ◽  
Security Issues ◽  
External Threats ◽  
Technological Facility ◽  
Ease Of Access

Cloud computing is an internet-based service of delivering technology to users and an important technological facility where mutual resources are delivered on demand. Usage of cloud computing in educational Institutions provides students as well as administrative staff an opportunity to access various applications and knowledge swiftly. Its simplicity, upfront-cost, reduced downtime and less management effort make this service acceptable for all fragments of society particularly students and teachers. Despite the fact that the cloud computing technology is very useful, such as ease of access, cost effective. It has various issues like security violations, data confidentiality, data integrity, regional and geographical restrictions over the data. Safe cloud services are required to protect its users from different external threats such as disclosure or loss of data and compromising of users’ accounts. Users’ understanding about the cloud computing’s advantages, disadvantages and security issues can protect them from potential threats while ensuring its optimal usage in education. In this paper, a survey has been conducted to identify students understanding about the advantages, disadvantages and security issues regarding cloud computing in the educational sector. A sample of 212 respondents from graduate and undergraduate programs was taken to obtain required information. The findings reveal a lack of awareness about the use of cloud computing, its benefits, and security concerns and the implications of this deficiency are critical as multiple issues like outflow of personal data and its loss is faced by its users which may have adverse social, emotional and professional effects on student’s life. Considering the usefulness as well as the sensitivity of cloud computing in educational institutions, Authors propose maximum utilization of cloud computing in educational sector while ensuring the security of its users.

Cloud Services for Healthcare

2016 ◽  
pp. 709-734
Author(s):  
Konstantinos Koumaditis ◽  
George Pittas ◽  
Marinos Themistocleous ◽  
George Vassilacopoulos ◽  
Andriana Prentza ◽  
...  
Keyword(s):  
Cloud Computing ◽  
User Satisfaction ◽  
Research Agenda ◽  
Cost Effective ◽  
Cloud Services ◽  
Design And Technology ◽  
Business Practices ◽  
Computing Services ◽  
Cloud Computing Services ◽  
Infrastructure Services

Healthcare organisations are forced to reconsider their current business practices and embark on a cloud adoption journey. Cloud-Computing offers important benefits that make it attractive for healthcare (e.g. cost effective model, big data management etc.). Large Information Technology (IT) companies are investing big sums in building infrastructure, services, tools and applications to facilitate Cloud-Computing for healthcare organisations, practitioners and patients. Yet, many challenges that such integration projects contain are still in the e-health research agenda like design and technology requirements to handle big volume of data, ensure scalability and user satisfaction to name a few. The purpose of this chapter is (a) to address the Cloud-Computing services for healthcare in the form of a Personal Healthcare record (PHR) and (b) demonstrate a multidisciplinary project. In doing so, the authors aim at increasing the awareness of this important endeavour and provide insights on Cloud-Computing e-health services for healthcare organisations.

Very High Data Rate Support for Mobile Cloud Services Using SDN-Based Heterogeneous Carrier Aggregation

2014 ◽  
Vol 24 (07) ◽  
pp. 983-1011
Author(s):  
Dong Ha Kim ◽  
Cheolhoon Kim ◽  
Yumi Oh ◽  
Sungwon Lee ◽  
Seung Gwan Lee
Keyword(s):  
Cloud Computing ◽  
Mobile Devices ◽  
Mobile Networks ◽  
Data Transfer ◽  
Cost Effective ◽  
Data Rate ◽  
Cloud Services ◽  
Carrier Aggregation ◽  
Radio Access ◽  
5G Mobile Networks

Mobile traffic is currently the most important traffic on the Internet, both domestically and internationally. This is predominantly attributable to widespread cloud computing-based services on mobile networks. Fifth generation (5G) mobile networks are expected to comfortably accommodate this type of traffic by supporting 1,000 times faster speeds than conventional 4G. However, commercial implementation of 5G mobile is targeted for the year 2020. Therefore, interim accommodation approaches are needed. In essence, 5G mobile networks are an evolution of 4G in which a licensed spectrum that generates revenue from user data transfer is being considered. Consequently, more cost-effective methods that utilize the unlicensed spectrum are also desired. Meanwhile, concomitant with pursuit of miniaturization and reduction in weight, the number and types of network interfaces in recent mobile devices are increasing. We propose a method for carrier aggregation of multiple heterogeneous wireless links based on software-defined networking (SDN) that controls traffic and manages the wireless interfaces of mobile devices effectively when multiple radio access technologies are available. Evaluations conducted of the proposed method on an experimental testbed developed using the OpenStack cloud computing platform with aggregated multiple radio access technology environments indicate that it is feasible and provides higher data rate.

Cloud Computing Security

2020 ◽  
pp. 306-325
Author(s):  
Chhavi Chaturvedi ◽  
Brij B. Gupta
Keyword(s):  
Cloud Computing ◽  
Data Centers ◽  
Cost Effective ◽  
Cloud Services ◽  
Cloud Environment ◽  
Customer Data ◽  
Resource Pooling ◽  
Cost Effective Technique ◽  
Cloud Development ◽  
History Of

The applications and software using cloud computing as a base have significantly increased, and cloud computing is nowadays developed as a scalable and cost-effective technique. It facilitates many features in the computing environment like resource pooling, multi-tenancy, virtualization, etc. The cloud environment has led to the proliferation of various attacks that affect the security of applications and software developed by using cloud services and also cloud user's data. Data security is the main concern in cloud computing because it is stored in data centers provided by service providers. The chapter presents the background history of cloud computing and different challenges faced by the cloud environment, especially in terms of providing security for customer data stored in data centers. Authors also discuss the case studies on Microsoft Azure (i.e. a cloud platform) and Aneka (i.e. a cloud development and management platform).

Carrier-Grade Distributed Cloud Computing

2013 ◽  
pp. 264-281
Author(s):  
Dapeng Wang ◽  
Jinsong Wu
Keyword(s):  
Cloud Computing ◽  
Service Level Agreement ◽  
Cost Effective ◽  
Cloud Service ◽  
Service Level ◽  
Cloud Services ◽  
Cloud Infrastructure ◽  
Key Issues ◽  
Security Network ◽  
Distributed Cloud

This chapter discusses and surveys the concepts, demands, requirements, solutions, opportunities, challenges, and future perspectives and potential of Carrier Grade Cloud Computing (CGCC). This chapter also introduces a carrier grade distributed cloud computing architecture and discusses the benefits and advantages of carrier grade distributed cloud computing. Unlike independent cloud service providers, telecommunication operators may integrate their conventional communications networking capabilities with the new cloud infrastructure services to provide inexpensive and high quality cloud services together with their deep understandings of, and strong relationships with, individual and enterprise customers. The relevant design requirements and challenges may include the performance, scalability, service-level agreement management, security, network optimization, and unified management. The relevant key issues in CGCC designs may include cost effective hardware and software configurations, distributed infrastructure deployment models, and operation processes.

Cloud Services for Healthcare

2015 ◽  
pp. 292-317 ◽  
Author(s):  
Konstantinos Koumaditis ◽  
George Pittas ◽  
Marinos Themistocleous ◽  
George Vassilacopoulos ◽  
Andriana Prentza ◽  
...  
Keyword(s):  
Cloud Computing ◽  
User Satisfaction ◽  
Research Agenda ◽  
Cost Effective ◽  
Cloud Services ◽  
Design And Technology ◽  
Business Practices ◽  
Computing Services ◽  
Cloud Computing Services ◽  
Infrastructure Services

Healthcare organisations are forced to reconsider their current business practices and embark on a cloud adoption journey. Cloud-Computing offers important benefits that make it attractive for healthcare (e.g. cost effective model, big data management etc.). Large Information Technology (IT) companies are investing big sums in building infrastructure, services, tools and applications to facilitate Cloud-Computing for healthcare organisations, practitioners and patients. Yet, many challenges that such integration projects contain are still in the e-health research agenda like design and technology requirements to handle big volume of data, ensure scalability and user satisfaction to name a few. The purpose of this chapter is (a) to address the Cloud-Computing services for healthcare in the form of a Personal Healthcare record (PHR) and (b) demonstrate a multidisciplinary project. In doing so, the authors aim at increasing the awareness of this important endeavour and provide insights on Cloud-Computing e-health services for healthcare organisations.

scholarly journals Cost Effective Ant Colony Optimization in Cloud Computing

2019 ◽  
Vol 8 (10) ◽  
pp. 3016-3020
Keyword(s):  
Cloud Computing ◽  
Ant Colony Optimization ◽  
Task Scheduling ◽  
Direct Interaction ◽  
Cost Effective ◽  
Cloud Services ◽  
Ant Colony ◽  
Ant Colony Optimization Algorithm ◽  
Wide Range ◽  
Scheduling Method

Cloud computing is a term for a wide range of developments possibilities. It is rapidly growing paradigm in software technology that offers different services. Cloud computing has come of age, since Amazon's rollouted the first of its kind of cloud services in 2006. It stores the tremendous amount of data that are being processed every day. Cloud computing is a reliable computing base for data-intensive jobs. Cloud computing provide computing resources as a service. It is on-demand availability of computing resources without direct interaction of user. A major focus area of cloud computing is task scheduling. Task scheduling is one among the many important issues to be dealt with. It means to optimize overall system capabilities and to allocate the right resources. Task scheduling referred to NP-hard problem. The proposed algorithm is Cost Effective ACO for task scheduling, which calculates execution cost of CPU, bandwidth, memory etc. The suggested algorithm is compared with CloudSim with the presented Basic Cost ACO algorithm-based task scheduling method and outcomes clearly shows that the CEACO based task scheduling method clearly outperforms the others techniques which are in use into considerations. The task is allotted to the number of VMs based on the priorities (highest to lowest) given by user. The simulation consequences demonstrate that the suggested scheduling algorithm performs faster than previous Ant Colony Optimization algorithm in reference to the cost. It reduces the overall cost as compare to existing algorithm.

Sign in / Sign up

Export Citation Format

Share Document