A Framework for Personalization of Computing Environment Among System on-Demand (SoD) Zones

2011 ◽  
pp. 603-609 ◽  
Author(s):  
Dong-oh Kang ◽  
Hyungjik Lee ◽  
Jeunwoo Lee
Keyword(s):  
Computing Environment ◽  
On Demand

Providing Virtual Cloud for Special Purposes on Demand in JointCloud Computing Environment

2017 ◽  
Vol 32 (2) ◽  
pp. 211-218 ◽  
Author(s):  
Dong-Gang Cao ◽  
Bo An ◽  
Pei-Chang Shi ◽  
Huai-Min Wang
Keyword(s):  
Computing Environment ◽  
On Demand

Resource Allocation Policies in Cloud Computing Environment

2017 ◽  
pp. 115-132 ◽  
Author(s):  
Suvendu Chandan Nayak ◽  
Sasmita Parida ◽  
Chitaranjan Tripathy ◽  
Prasant Kumar Pattnaik
Keyword(s):  
Resource Allocation ◽  
Cloud Computing ◽  
Resource Utilization ◽  
Service Level Agreement ◽  
Service Level ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
On Demand ◽  
Different Types ◽  
Cloud Datacenter

The basic concept of cloud computing is based on “Pay per Use”. The user can use the remote resources on demand for computing on payment basis. The on-demand resources of the user are provided according to a Service Level Agreement (SLA). In real time, the tasks are associated with a time constraint for which they are called deadline based tasks. The huge number of deadline based task coming to a cloud datacenter should be scheduled. The scheduling of this task with an efficient algorithm provides better resource utilization without violating SLA. In this chapter, we discussed the backfilling algorithm and its different types. Moreover, the backfilling algorithm was proposed for scheduling tasks in parallel. Whenever the application environment is changed the performance of the backfilling algorithm is changed. The chapter aims implementation of different types of backfilling algorithms. Finally, the reader can be able to get some idea about the different backfilling scheduling algorithms that are used for scheduling deadline based task in cloud computing environment at the end.

Analysis of Various Security Issues and Challenges in Cloud Computing Environment

2016 ◽  
pp. 221-247 ◽  
Author(s):  
Zhaolong Gou ◽  
Shingo Yamaguchi ◽  
B. B. Gupta
Keyword(s):  
Cloud Computing ◽  
Comparative Analysis ◽  
Solution Space ◽  
Future Research ◽  
Security Threats ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Security Issues ◽  
On Demand ◽  
Recent Developments

Cloud computing is a system, where the resources of a data center are shared using virtualization technology, such that it provides elastic, on demand and instant services to its customers and charges them based on the resources they use. In this chapter, we will discuss recent developments in cloud computing, various security issues and challenges associated with Cloud computing environment, various existing solutions provided for dealing with these security threats and will provide a comparative analysis these approaches. This will provide better understanding of the various security problems associated with the cloud, current solution space, and future research scope to deal with such attacks in better way.

A Web Automation Testing Framework over Cloud

2014 ◽  
Vol 556-562 ◽  
pp. 6149-6153
Author(s):  
Min Gang Chen ◽  
Wen Bin Zhong ◽  
Wen Jie Chen ◽  
Yun Hu ◽  
Li Zhi Cai
Keyword(s):  
Cloud Computing ◽  
Test Case ◽  
Test Cases ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Testing Framework ◽  
On Demand ◽  
Software Automation Testing ◽  
Efficient Software ◽  
Automation Testing

With the increasingly fast-paced software releasing or updating, research on the method of an efficient software automation testing framework based on cloud computing has become particularly important. In this paper, we propose an automation testing framework over cloud. We also describe some key technologies in the aspect of the design of hierarchical test case and automatic distribution of test cases in the cloud computing environment. Testing experiments show that our framework can take advantage of on-demand testing resources in the cloud to improve the efficiency of automation testing.

Resource Allocation in Cloud Computing Environment using AHP Technique

2014 ◽  
Vol 4 (1) ◽  
pp. 33-44 ◽  
Author(s):  
Anil Singh ◽  
Kamlesh Dutta ◽  
Avtar Singh
Keyword(s):  
Resource Allocation ◽  
Cloud Computing ◽  
Synthesis Methods ◽  
Computing Environment ◽  
Computing Technology ◽  
Method Error ◽  
Cloud Computing Environment ◽  
Mps Method ◽  
On Demand ◽  
Hierarchy Process

Cloud Computing has changed the strategy of the way of providing different services to business and government agent as well as to sole users. Cloud Computing provides scalable and on demand services to users irrespective of their physical area. But this computing technology has many challenges. One of them is on demand resource allocation. In this paper a resource allocation method is proposed based on Analytical Hierarchy Process (AHP) called Multicriteria Preference Synthesis (MPS) method. MPS method combines many AHP synthesis methods (Additive Normalization, EigenVector, Multicriteria Synthesis etc.) to assign the priorities to the users' tasks. In MPS method Error Criteria is used to provide the consistency in providing the priorities to users' tasks if any violation is there.

scholarly journals A Review on Security in Mobile Cloud Computing

2020 ◽  
pp. 219-224
Author(s):  
Vandanapu Uday ◽  
Advin Manhar
Keyword(s):  
Cloud Computing ◽  
Mobile Cloud Computing ◽  
Safety Issue ◽  
Mobile Cloud ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Security Issues ◽  
On Demand ◽  
A Cell ◽  
Cloud Applications

Cloud Computing refers to various services that are accessible through the Internet. These essential sources encompass servers, databases, storage, analytics, software, and different applications. Mobile cloud computing (MCC) is the availability of cloud computing offerings in a cell environment. Mobile Cloud Computing at its simplest refers to an infrastructure where both the storage and therefore, the processing of information happens outside the mobile device. Users can remotely store their data also enjoy high-quality on-demand cloud applications without the restrictions of getting to get and maintain your local hardware and software. Despite the surprising advancement achieved by MCC, the clients of MCC remains below expectations. Thanks to the related risks regarding security and confidentiality. The more and more information is placed onto the cloud by the individuals and enterprises, the more the safety issue begins to grow. This paper gives a summary of the cloud computing concept followed by an outline of mobile cloud computing, and therefore, the different security issues pertinent to the mobile cloud computing environment.

scholarly journals EFFICIENT ALLOCATION OF VIRTUAL MACHINE IN CLOUD COMPUTING ENVIRONMENT

2013 ◽  
pp. 147-150
Author(s):  
SONAM RATHORE
Keyword(s):  
Cloud Computing ◽  
It Services ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Dynamic Provisioning ◽  
On Demand ◽  
Computing Paradigm ◽  
Computing Services ◽  
Internet Computing ◽  
Service Cloud

Cloud computing is a latest new computing paradigm where applications, data and IT services are provided over the Internet. Computing service is provided on demand as a utility as other utilities. Cloud computing provides dynamic provisioning of computing services. Resource scheduling is a key process for clouds such as Infrastructure as a Service cloud. To make the most efficient use of the resources, an algorithm must be used which improves the utilization of system resources. In this work an algorithm is used which uses all the combination of allocation sequence and chooses the allocation sequence on the basis of strength of allocation. Experimental shows that the proposed algorithm gives the better utilization of resources.

scholarly journals Comparing load balancing algorithms for web application in cloud environment

2020 ◽  
Vol 17 (2) ◽  
pp. 1104
Author(s):  
Zakaria Benlalia ◽  
Karim Abouelmehdi ◽  
Abderrahim Beni-hssane ◽  
Abdellah Ezzati
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Web Application ◽  
Cloud Environment ◽  
Computing Environment ◽  
New Paradigm ◽  
Cloud Computing Environment ◽  
On Demand ◽  
Software And Hardware

<p>Cloud computing has emerged as a new paradigm for providing on-demand computing resources and outsourcing software and hardware infrastructures. Load balancing is one of the major concerns in cloud computing environment means how to distribute load efficiently among all the nodes. For solving such a problem, we need some load balancing algorithms, so in this paper we will compare the existing algorithms for web application.and based on results obtained we choose the best among them.</p>

scholarly journals Exploiting GPUs in Virtual Machine for BioCloud

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Heeseung Jo ◽  
Jinkyu Jeong ◽  
Myoungho Lee ◽  
Dong Hoon Choi
Keyword(s):  
Cloud Computing ◽  
System Architecture ◽  
Biological Applications ◽  
Cloud Environment ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Pci Express ◽  
On Demand ◽  
Time Share ◽  
Pass Through

Recently, biological applications start to be reimplemented into the applications which exploit many cores of GPUs for better computation performance. Therefore, by providing virtualized GPUs to VMs in cloud computing environment, many biological applications will willingly move into cloud environment to enhance their computation performance and utilize infinite cloud computing resource while reducing expenses for computations. In this paper, we propose a BioCloud system architecture that enables VMs to use GPUs in cloud environment. Because much of the previous research has focused on the sharing mechanism of GPUs among VMs, they cannot achieve enough performance for biological applications of which computation throughput is more crucial rather than sharing. The proposed system exploits the pass-through mode of PCI express (PCI-E) channel. By making each VM be able to access underlying GPUs directly, applications can show almost the same performance as when those are in native environment. In addition, our scheme multiplexes GPUs by using hot plug-in/out device features of PCI-E channel. By adding or removing GPUs in each VM in on-demand manner, VMs in the same physical host can time-share their GPUs. We implemented the proposed system using the Xen VMM and NVIDIA GPUs and showed that our prototype is highly effective for biological GPU applications in cloud environment.

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