Load Balancing and Prudential Hypervisor in Cloud Computing

2019 ◽  
pp. 196-214
Author(s):  
G. Soniya Priyatharsini ◽  
N. Malarvizhi
Keyword(s):  
Cloud Computing ◽  
Time Delay ◽  
Load Balancing ◽  
Service Time ◽  
Service Model ◽  
The Cost ◽  
Cloud Users ◽  
Available Resources

Cloud computing is a service model in internet that provides virtualized resources to its clients. These types of servicing give a lot of benefits to the cloud users where they can pay as per their use. Even though they have benefits, they also face some problems like receiving computing resources, which is guaranteed on time. This time delay may affect the service time and the makespan. Thus, to reduce such problems, it is necessary to schedule the resources and then allocate it to using an optimized hypervisor. Here, the proposed method is used to do the above-mentioned problem. First, the available resources are clustered with respect to their characteristics. Then the resources are scheduled using this method. Finally, with respect to that of the clients request the resources, the resources are allocated. Here, the cost is the fitness of the allocation.

Cloud Computing

2018 ◽  
pp. 233-259
Author(s):  
Shailendra Singh ◽  
Sunita Gond
Keyword(s):  
Cloud Computing ◽  
Cloud Services ◽  
Educational Institutions ◽  
Personal Computing ◽  
The World ◽  
Long Time ◽  
The Cost ◽  
Shared Network ◽  
Cloud Users ◽  
Distributed And Parallel Computing

As this is the age of technology and every day we are receiving the news about growing popularity of internet and its applications. Cloud computing is an emerging paradigm of today that is rapidly accepted by the industry/organizations/educational institutions etc. for various applications and purpose. As computing is related to distributed and parallel computing which are from a very long time in the market, but today is the world of cloud computing that reduces the cost of computing by focusing on personal computing to data center computing. Cloud computing architecture and standard provide a unique way for delivering computation services to cloud users. It is having a simple API (Application Platform Interface) to users for accessing storage, platform and hardware by paying-as-per-use basis. Services provided by cloud computing is as same as other utility oriented services like electricity bill, water, telephone etc. over shared network. There are many cloud services providers in the market for providing services like Google, Microsoft, Manjrasoft Aneka, etc.

Receiver Initiated Deadline Aware Load Balancing Strategy (RDLBS) for Cloud Environment

2017 ◽  
Vol 8 (3) ◽  
pp. 53-73
Author(s):  
Raza Abbas Haidri ◽  
Chittaranjan Padmanabh Katti ◽  
Prem Chandra Saxena
Keyword(s):  
Cloud Computing ◽  
Performance Evaluation ◽  
Load Balancing ◽  
Virtual Machines ◽  
Turnaround Time ◽  
Cloud Environment ◽  
Computing Technology ◽  
Trade Off ◽  
The Cost ◽  
State Of Art

The emerging cloud computing technology is the attention of both commercial and academic spheres. Generally, the cost of the faster resource is more than the slower ones, therefore, there is a trade-off between deadline and cost. In this paper, the authors propose a receiver initiated deadline aware load balancing strategy (RDLBS) which tries to meet the deadline of the requests and optimizes the rate of revenue. RDLBS balances the load among the virtual machines (VMs) by migrating the request from the overloaded VMs to underloaded VMs. Turnaround time is also computed for the performance evaluation. The experiments are conducted by using CloudSim simulator and results are compared with existing state of art algorithms with similar objectives.

Cloud Load Balancing Algorithms: A Comparative Assessment

2019 ◽  
Vol 16 (9) ◽  
pp. 3989-3994
Author(s):  
Jaspreet Singh ◽  
Deepali Gupta ◽  
Neha Sharma
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Data Centers ◽  
Research Area ◽  
Comparative Assessment ◽  
Cloud Services ◽  
Cloud Data ◽  
Cloud Data Centers ◽  
Cloud Users

Nowadays, Cloud computing is developing quickly and customers are requesting more administrations and superior outcomes. In the cloud domain, load balancing has turned into an extremely intriguing and crucial research area. Numbers of algorithms were recommended to give proficient mechanism for distributing the cloud user’s requests for accessing pool cloud resources. Also load balancing in cloud should provide notable functional benefits to cloud users and at the same time should prove out to be eminent for cloud services providers. In this paper, the pre-existing load balancing techniques are explored. The paper intends to provide landscape for classification of distinct load balancing algorithms based upon the several parameters and also address performance assessment bound to various load balancing algorithms. The comparative assessment of various load balancing algorithms will helps in proposing a competent load balancing technique for intensify the performance of cloud data centers.

scholarly journals Multi-objective Prediction based Task Scheduling Method in Cloud Computing

2019 ◽  
Vol 8 (4) ◽  
pp. 9388-9394 ◽  
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Task Scheduling ◽  
Job Scheduling ◽  
Sigmoid Function ◽  
Service Model ◽  
Multi Objective ◽  
Computing Paradigm ◽  
Optimal Node ◽  
Scheduling Method

Cloud Computing is Internet based computing where one can store and access their personal resources from any computer through Internet. Cloud Computing is a simple pay-per-utilize consumer-provider service model. Cloud is nothing but large pool of easily accessible and usable virtual resources. Task (Job) scheduling is always a noteworthy issue in any computing paradigm. Due to the availability of finite resources and time variant nature of incoming tasks it is very challenging to schedule a new task accurately and assign requested resources to cloud user. Traditional task scheduling techniques are improper for cloud computing as cloud computing is based on virtualization technology with disseminated nature. Cloud computing brings in new challenges for task scheduling due to heterogeneity in hardware capabilities, on-demand service model, pay-per-utilize model and guarantee to meet Quality of Service (QoS). This has motivated us to generate multi-objective methods for task scheduling. In this research paper we have presented multi-objective prediction based task scheduling method in cloud computing to improve load balancing in order to satisfy cloud consumers dynamically changing needs and also to benefit cloud providers for effective resource management. Basically our method gives low probability value for not capable and overloaded nodes. To achieve the same we have used sigmoid function and Euclidean distance. Our major goal is to predict optimal node for task scheduling which satisfies objectives like resource utilization and load balancing with accuracy.

scholarly journals A Survey on Load Balancing Algorithms

2019 ◽  
pp. 1156-1163
Author(s):  
Er. Ruchi ◽  
Harish Kumar
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Comparative Study ◽  
Response Time ◽  
Task Scheduling ◽  
Dynamic Load ◽  
Dynamic Load Balancing ◽  
Distributed Resources ◽  
The Cost ◽  
Day By Day

Cloud computing is referred to as biggest technology of today’s environment that provide access to distributed resources on the basis of pay-per-use. Everyone try to use cloud to reduce the cost and maintenance of infrastructure due to which lots of load is increasing day by day. Therefore, there is need to balance that load since resources of cloud are limited but usage is increasing at every moment. This paper discuss how the resources are allocated and how the tasks are scheduled among those resources. Task scheduling mainly focuses on enhancing the utilization of resources and hence reduction in response time. There are various static and dynamic load balancing algorithms to balance the load, this paper discusses comparative study of these algorithms.

scholarly journals Elastic Technique for Load Balancing in Cloud Computing

2020 ◽  
Vol 8 (6) ◽  
pp. 1123-1127
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Virtual Machines ◽  
Service Level Agreement ◽  
Service Level ◽  
Advanced Technology ◽  
Service Provisioning ◽  
Web Traffic ◽  
Cloud Environments ◽  
Cloud Users

The cloud computing is the architecture that is decentralized in nature due to which various issues in the network get raised which reduces its efficiency. The exchange of data over the network is also continuously increasing. New advanced technology, cloud computing is becoming popular because of providing the above services beneficially. Other vital technologies like virtualization and scalability by designing virtual machines in cloud computing. In cloud computing, web traffic and service provisioning are increasing day by day, so load balancing is becoming a big research issue in cloud computing. Cloud Computing is a new propensity emerging in the IT environment within huge requirements of infrastructure and resources. The load Balancing technique for cloud computing is a vital aspect of the cloud computing environment. Peerless Load balancing scheme ensures splendid resource utilization by provisioning resources to cloud users on-demand services basis in a pay-as-you-use manner. The technique of Load Balancing may further support prioritizing requests of users/clients by applying appropriate scheduling criteria. This paper presents various load balancing schemes in different cloud environments based on requirements specified in the Service Level Agreement (SLA).

scholarly journals Trusted Cloud Platform for Cloud Infrastructure

2013 ◽  
Vol 10 (8) ◽  
pp. 1884-1891
Author(s):  
Punit Gupta ◽  
Deepika Agrawal
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Cloud Service ◽  
Trust Model ◽  
Cloud Infrastructure ◽  
Service Model ◽  
Infrastructure As A Service ◽  
Trust Value ◽  
Trust Models ◽  
Computing Framework

Reliability and trust Models are used to enhance secure , reliable scheduling , load balancing and QoS in cloud and Distributed environment. Trust models that are being used in Distributed and Grid environment, does not qualify cloud computing environment requirements. Since the parameters that have being taken into consideration in these trust models, does not fit in the cloud Infrastructure As A Service, a suitable trust model is proposed based on the existing model that is suitable for trust value management for the cloud IaaS parameters. Based on the above achieved trust values,  trust based scheduling and load balancing  is done for better allocation of resources and enhancing the QOS of services been provided to the users. In this paper, an trust based cloud computing framework is proposed using trust model ,trust based scheduling and load balancing algorithms. Here we describe the design and development of trusted Cloud service model for cloud Infrastructure as a service (IaaS) known as VimCloud .VimCloud an open source cloud computing framework that implements the tusted Cloud Service Model and  trust based scheduling and load balancing algorithm . However one of the major issues in cloud IaaS is to ensure reliability and security or used data and computation. Trusted cloud service model ensures that user virual machine executes only on trusted cloud node, whose integrity and reliability is known in term of trust value . VimCloud shown practical in term of performace which is better then existing models.

scholarly journals A Hybrid AFSS-SHC Optimization Methodology for Balancing the Load Efficiently in Cloud Environment

2018 ◽  
Vol 7 (2.19) ◽  
pp. 70
Author(s):  
Aswini J ◽  
N Malarvizhi ◽  
Anitha. K ◽  
. .
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Virtual Machines ◽  
Scheduling Algorithm ◽  
Cloud Environment ◽  
Main Challenge ◽  
Share Data ◽  
Cloud Framework ◽  
Optimization Methodology ◽  
The Cost

Cloud computing helps to share data and provide many resources to users. Users pay only for those resources as much they used. Rapid increase in load to these cloud framework cannot be predicted. Load balancing is one of the issues in cloud computing that distributes the workload to the nodes in such a way no node is overloaded or under - loaded. Load balancing is a main challenge in cloud environment.  In this work,  scheduling algorithm is applied for load balancing by considering the cost of  task execution and make span. This scheduling algorithm efficiently maps task to available nodes in cloud and it is beneficial to user and service provider. Load balancing segregates assignments of tasks among all available virtual machines from datacenters. Assignment of tasks to virtual machines can be done with minimum delay. To enhance the make span, resource utilization, our proposed framework utilizes AFSS-SHC load balancing strategy.  A metaheuristics swarm intelligence algorithm which is NP-hard have been suggested to balance load across devices. The algorithms taken into account are-HEFT,PSO and PSO-HC. The proposed methodology AFSS-SHC optimized the task scheduling. Random tasks have been taken for this purpose and simulated to show that the proposed methodology works efficiently to reduce the make span of tasks to reduce the cost.  

Security Issues Related to Cloud Applications in STEM Education

2016 ◽  
pp. 277-289
Author(s):  
Yong Chen
Keyword(s):  
Cloud Computing ◽  
Stem Education ◽  
Service Providers ◽  
Cloud Service ◽  
Disruptive Innovation ◽  
Security Threats ◽  
Security Issues ◽  
The Cost ◽  
Cloud Applications ◽  
Cloud Users

Learning based on cloud computing, denoted as cloud learning (CL) in short, is a disruptive innovation and a current buzzword in education. It provides a learner-centered platform that benefits learners, instructors, and education providers. However, because it requires the Internet and is built on cloud computing, CL has inherent security issues. By analyzing the benefits and the security threats inherent in CL, this chapter aims to help CL stakeholders in STEM Education (namely cloud service providers, cloud content providers, and cloud users) to better understand the security issues inherent in CL from the perspectives of confidentiality, integrity, and availability. The discussions about the risks that CL stakeholders in STEM education incur as a result of prevailing security threats and system vulnerabilities will help those stakeholders to assess the cost effectiveness of security countermeasures.

Sign in / Sign up

Export Citation Format

Share Document