scholarly journals Efficient Cost Optimization using Transportation Mechanisms for Cloud Computing Environment

2020 ◽  
Vol 9 (4) ◽  
pp. 1630-1639
Keyword(s):  
Cloud Computing ◽  
Virtual Machines ◽  
Low Cost ◽  
Cost Optimization ◽  
Transportation Cost ◽  
Cloud Service ◽  
Computing Environment ◽  
Cloud Service Provider ◽  
Cloud Computing Environment ◽  
The Cost

Efficient computations are increasing now a day, so their need is very high in the world. Infrastructure and computation techniques are not as much as efficient in conventionally or in present scenario, therefore the cloud computing is new to deal this type of problems. Sequencing of hardware and software technologies, for giving scalable and low cost computational understandings in cloud computing. The major focus of this research is to diminish the transportation cost of resource allocation along with various virtual machines in cloud computing environment. In this research paper, implementation of Vogel's Approximation Method (VAM) to obtain an Initial Basic Feasible Solution (IBFS) and an algorithm to optimize the cost of resource transportations for cloud service provider (CSP) as well as present an example also to understand the proposed method for total supply values and total demand values. Although the calculation of cost reduction until the iteration still has a non-negative values, and the calculation is done again until the last iteration. A comparison has been shown the cost of the proposed mechanism is much less from other technique.

scholarly journals Privacy Preserving Auction Based Virtual Machine Instances Allocation Scheme for Cloud Computing Environment

2017 ◽  
Vol 7 (5) ◽  
pp. 2645
Author(s):  
Suneeta Mohanty ◽  
Prasant Kumar Pattnaik ◽  
G. B. Mund
Keyword(s):  
Cloud Computing ◽  
Virtual Machine ◽  
Virtual Machines ◽  
Cloud Service ◽  
Computing Environment ◽  
Cloud Service Provider ◽  
Cloud Computing Environment ◽  
The Individual ◽  
Cloud Users ◽  
Yao’S Protocol

<p>Cloud Computing Environment provides computing resources in the form of Virtual Machines (VMs), to the cloud users through Internet. Auction-based VM instances allocation allows different cloud users to participate in an auction for a bundle of Virtual Machine instances where the user with the highest bid value will be selected as the winner by the auctioneer (Cloud Service Provider) to gain more. In this auction mechanism, individual bid values are revealed to the auctioneer in order to select the winner as a result of which privacy of bid values are lost. In this paper, we proposed an auction scheme to select the winner without revealing the individual bid values to the auctioneer to maintain privacy of bid values. The winner will get the access to the bundle of VM instances. This  scheme relies on a set of cryptographic protocols including Oblivious Transfer (OT) protocol and Yao’s protocol to maintain privacy of bid values.</p>

Identification of Various Privacy and Trust Issues in Cloud Computing Environment

2019 ◽  
pp. 992-1013
Author(s):  
Shivani Jaswal ◽  
Manisha Malhotra
Keyword(s):  
Cloud Computing ◽  
Service Provider ◽  
Cloud Service ◽  
Security And Privacy ◽  
Computing Environment ◽  
Cloud Service Provider ◽  
Cloud Computing Environment ◽  
Security Issues

Cloud computing is a rising paradigm in today's world. In this, users can send his or her request to any CSP, i.e., cloud service provider, of their choice. In return, the CSP reverts him back with that particular service. Now, while communicating from various two locations, the data transferred is not passed through that much amount of security and privacy as expected. So, there are lots of parameters in the environment that are taken care of while sending, receiving or just passing data over the network. This chapter presents various security issues that are underlying in cloud computing. This chapter has illustrated various issues such as Trust, Encryption, Authenticity, Confidentiality and Multi Tenancy. Also, some of the proposed solutions have also been discussed later in the chapter.

Identification of Various Privacy and Trust Issues in Cloud Computing Environment

2018 ◽  
pp. 95-121
Author(s):  
Shivani Jaswal ◽  
Manisha Malhotra
Keyword(s):  
Cloud Computing ◽  
Service Provider ◽  
Cloud Service ◽  
Security And Privacy ◽  
Computing Environment ◽  
Cloud Service Provider ◽  
Cloud Computing Environment ◽  
Security Issues

Cloud computing is a rising paradigm in today's world. In this, users can send his or her request to any CSP, i.e., cloud service provider, of their choice. In return, the CSP reverts him back with that particular service. Now, while communicating from various two locations, the data transferred is not passed through that much amount of security and privacy as expected. So, there are lots of parameters in the environment that are taken care of while sending, receiving or just passing data over the network. This chapter presents various security issues that are underlying in cloud computing. This chapter has illustrated various issues such as Trust, Encryption, Authenticity, Confidentiality and Multi Tenancy. Also, some of the proposed solutions have also been discussed later in the chapter.

Adapting Market-Oriented Policies for Scheduling Divisible Loads on Clouds

2020 ◽  
Vol 11 (2) ◽  
pp. 45-55
Author(s):  
Mimi Liza Abdul Majid ◽  
Suriayati Chuprat
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Cloud Service ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Divisible Loads ◽  
Workload Allocation ◽  
The Cost ◽  
Baseline Approach ◽  
Allocation Approach

Cloud computing has become an important alternative for solving big data processing. Nowadays, cloud service providers usually offer users a virtual machine with various combinations of prices. As each user has different circumstances, the problem of choosing the cost-minimized combination under a deadline constraint as well as user's preference is becoming more complex. This article is concerned with the investigation of adapting a user's preference policies for scheduling real-time divisible loads in a cloud computing environment. The workload allocation approach used in this research is using Divisible Load Theory. The proposed algorithm aggregates resources into groups and optimally distributes the fractions of load to the available resources according to user's preference. The proposed algorithm was evaluated by simulation experiments and compared with the baseline approach. The result obtained from the proposed algorithm reveals that a significant reduction in computation cost can be attained when the user's preferences are low priority.

scholarly journals Achieving Application Portability In Cloud Computing Environment

2019 ◽  
Vol 8 (12) ◽  
pp. 3359-3369
Keyword(s):  
Cloud Computing ◽  
Service Provider ◽  
Cloud Service ◽  
Computing Environment ◽  
Cloud Service Provider ◽  
Cloud Computing Environment ◽  
Target Environment ◽  
Automation Tools

Application portability in a cloud computing condition is characterized to be the exchange of utilization or its segments starting with one cloud administration then onto the next cloud administration of its specialized comparability. The application should be such transferred that it does not make any significant changes in the application code although recompilation or relinking may be allowed. Application portability can be performed by the customer only in case of IaaS and PaaS services because for SaaS the application code relies on the cloud service provider itself. The application artifacts and their dependencies play a major role in the target environment. Containers and their related infrastructure hold valuable importance for application portability. In this paper, we will elaborate on all the issues, challenges, scenarios, and approaches for application portability that rose to date. We will study all the facets of data and application portability such as its instruction, syntax, metadata, and policies. The evolution of automation tools and technologies has made the portability of applications easier as the manual processes were inefficient and error-prone.

Agent based Resource Allocation Mechanism Focusing Cost Optimization in Cloud Computing

2015 ◽  
Vol 5 (3) ◽  
pp. 53-61 ◽  
Author(s):  
Aarti Singh ◽  
Manisha Malhotra
Keyword(s):  
Cloud Computing ◽  
Virtual Machines ◽  
Low Cost ◽  
Cost Optimization ◽  
Main Role ◽  
Resource Assignment ◽  
Allocation Mechanism ◽  
Agent Based ◽  
Assignment Algorithm ◽  
The Cost

A cloud computing environment offers a simplified, centralized platform or resources for use when needed on low cost. One of the key functionality of this type of computing is to allocate the resources on an individual demand. However, with the expanding requirements of cloud user, the need of efficient resource computing is also emerging. The main role of service provider is to effectively distribute and share the resources which otherwise would result into resource wastage. In addition to the user getting the appropriate service according to request, the cost of respective resource is also optimized. In order to surmount the mentioned shortcomings, this paper proposes a new agent based optimized resource assignment algorithm which is not only responsible for searching comprehensive services but also considers reducing the cost of virtual machines which are consumed by on-demand services only.

Multidimensional Resource Scheduling in Cloud Data Centers

2014 ◽  
Vol 1008-1009 ◽  
pp. 1513-1516
Author(s):  
Hai Na Song ◽  
Xiao Qing Zhang ◽  
Zhong Tang He
Keyword(s):  
Cloud Computing ◽  
Data Centers ◽  
Bin Packing ◽  
Virtual Machines ◽  
Three Dimensional ◽  
Resource Scheduling ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Cloud Data ◽  
Cloud Data Centers

Cloud computing environment is regarded as a kind of multi-tenant computing mode. With virtulization as a support technology, cloud computing realizes the integration of multiple workloads in one server through the package and seperation of virtual machines. Aiming at the contradiction between the heterogeneous applications and uniform shared resource pool, using the idea of bin packing, the multidimensional resource scheduling problem is analyzed in this paper. We carry out some example analysis in one-dimensional resource scheduling, two-dimensional resource schduling and three-dimensional resource scheduling. The results shows that the resource utilization of cloud data centers will be improved greatly when the resource sheduling is conducted after reorganizing rationally the heterogeneous demands.

scholarly journals ALGORITHM FOR TASK CONSOLIDATION IN CLOUD COMPUTING: A COMPARATIVE SURVEY

2018 ◽  
Vol 6 (5) ◽  
pp. 340-345
Author(s):  
Rajat Pugaliya ◽  
Madhu B R
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Resource Utilization ◽  
Service Provider ◽  
Virtual Machines ◽  
Cloud Service ◽  
Cloud Service Provider ◽  
Dynamic Task ◽  
Main Challenge ◽  
High Level

Cloud Computing is an emerging field in the IT industry. Cloud computing provides computing services over the Internet. Cloud Computing demand increasing drastically, which has enforced cloud service provider to ensure proper resource utilization with less cost and less energy consumption. In recent time various consolidation problems found in cloud computing like the task, VM, and server consolidation. These consolidation problems become challenging for resource utilization in cloud computing. We found in the literature review that there is a high level of coupling in resource utilization, cost, and energy consumption. The main challenge for cloud service provider is to maximize the resource utilization, reduce the cost and minimize the energy consumption. The dynamic task consolidation of virtual machines can be a way to solve the problem. This paper presents the comparative study of various task consolidation algorithms.

Two Factor Authentication Using M-Pin Server for Secure Cloud Computing Environment

2016 ◽  
pp. 1053-1066 ◽  
Author(s):  
Nitin Nagar ◽  
Ugrasen Suman
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Cloud Service ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Cloud Computing Security ◽  
Network Application ◽  
Multiple Challenges ◽  
Secure Cloud Computing ◽  
Malicious Insiders

Cloud computing is comprised of major demand from the every group of organization because of easy availability and cost effectiveness. The responsibilities of cloud service providers will become increasing more due to the great progression in every cloud computing deployment model (public, private and hybrid) and service models (SaaS, PaaS and IaaS). In this perspective, cloud computing faces multiple challenges, especially in cloud computing security at all levels (e.g., host, network, application and data levels). Authentication is the constantly the biggest concerned for IT industries to adopt cloud computing environment. The availability, performance, key logger attack, malicious insiders, outsider attacks and service disruptions explore (service hijacking) issues are the key research challenges in the cloud computing authentication level. In this aspect, traditional user name and password is not enough as a single factor (first factor). This paper has proposed a secure cloud computing framework which uses first factor as a crypt user name and password with the ATM pin as a second factor called M-pin. The proposed work focuses on a solution to the threats that are the major issues in the cloud adoption.

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