Augmentation of Energy Efficiency for Smart Phones in Cloud Environment

2019 ◽  
Author(s):  
Nancy Arya ◽  
Sunita Choudhary ◽  
S. Taruna
Keyword(s):  
Energy Efficiency ◽  
Smart Phones ◽  
Cloud Environment

scholarly journals SNMP for Cloud Environment Energy Efficiency

2021 ◽  
Author(s):  
Marta Chinnici ◽  
Asif Iqbal ◽  
ah lian kor ◽  
colin pattinson ◽  
eric rondeau
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Power Consumption ◽  
Empirical Evidence ◽  
Rapid Growth ◽  
Virtual Machines ◽  
Cloud Environment ◽  
Second Stage ◽  
The Core ◽  
Snmp Protocol

Abstract Cloud computing has seen rapid growth and environments are now providing multiple physical servers with several virtual machines running on those servers. Networks have grown larger and have become more powerful in recent years. A vital problem related to this advancement is that it has become increasingly complex to manage networks. SNMP is one standard which is applied as a solution to this management of networks problem. This work utilizes SNMP to explore the capabilities of SNMP protocol and its features for monitoring, control and automation of virtual machines and hypervisors. For this target, a stage-wise solution has been formed that obtains results of experiments from the first stage uses SNMPv3 and feed to the second stage for further processing and advancement. The target of the controlling experiments is to explore the extent of SNMP capability in the control of virtual machines running in a hypervisor, also in terms of energy efficiency. The core contribution based on real experiments is conducted to provide empirical evidence for the relation between power consumption and virtual machines.

Security for the Cloud

2020 ◽  
pp. 68-83
Author(s):  
Shweta Kaushik ◽  
Charu Gandhi
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Smart Phones ◽  
Cloud Environment ◽  
Storage Devices ◽  
Remote Locations ◽  
Confidential Data ◽  
Security Concerns ◽  
Authorized Access ◽  
And Storage

Today's people are moving towards the internet services through cloud computing to acquire their required service, but they have less confidence about cloud computing because all the tasks are handled by the service provider. Cloud system provides features to the owner to store their data on some remote locations and allow only authorized users to access their data according to their access capability. Data security becomes particularly serious in the cloud computing environment because data are scattered in different machines and storage devices including servers, PCs, and various mobile devices such as smart phones. To make the cloud computing be adopted by enterprise, the security concerns of users should be rectified first to make cloud environment trustworthy. The trustworthy environment is the basic prerequisite to win the confidence of users to adopt this technology. However, there are various security concerns that need to be taken care of regarding the trust maintenance between various parties, authorized access of confidential data, data storage privacy, and integrity.

Enhancing Performance and Energy Efficiency for Hybrid Workloads in Virtualized Cloud Environment

2018 ◽  
pp. 1-1 ◽  
Author(s):  
Chi Xu ◽  
Xiaoqiang Ma ◽  
Ryan Shea ◽  
Haiyang Wang ◽  
Jiangchuan Liu
Keyword(s):  
Energy Efficiency ◽  
Cloud Environment

Energy Efficient CA based Page Rank Validation Model

2017 ◽  
Vol 8 (2) ◽  
pp. 59-76 ◽  
Author(s):  
Arnab Mitra ◽  
Anirban Kundu
Keyword(s):  
Energy Efficiency ◽  
Cellular Automata ◽  
Detailed Analysis ◽  
Environmental Sustainability ◽  
Energy Efficient ◽  
Low Cost ◽  
Web Pages ◽  
Cloud Environment ◽  
Page Rank ◽  
Green Model

Page rank plays an important role in processing of an indexed list for relevant web pages/ clouds by search engines. Validation of computed page rank is significantly important towards the reliability enhancement for a computed page rank. Besides, energy efficiency is a major concern towards environmental sustainability. Detailed analysis on the Cellular Automata based page rank validation model explores that energy efficiency, and low cost physical implementation capability are present in it, and thus it explores its potential competence as a green model in Cloud environment. Experimental results confirm the effectiveness of proposed design.

scholarly journals Enhancement of Security and Energy Efficiency in Cloud Computing

2019 ◽  
Vol 8 (2) ◽  
pp. 2459-2462
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Load Balancing ◽  
Job Scheduling ◽  
Virtual Machines ◽  
Scheduling Algorithm ◽  
Cloud Environment ◽  
Gang Scheduling ◽  
Job Scheduler ◽  
Heavy Application

This paper focuses on the job scheduling in cloud environment. Here the task has been scheduled in cloud and fog. Cloud provides services to heavy application while fog provides service to lighter application. The job scheduler would be helpful to reduce burden of cloud and help in energy optimization. The jobs are scheduled according to their types and priority. Various job scheduling algorithm such as gang scheduling, FCFS and round robin mechanism have been discussed in this research for load balancing and improve the compilation time. The simulation has been made using Matlab on virtual machines.

scholarly journals AN INTEGRATED FRAMEWORK FOR SLA-AWARE MULTI-OBJECTIVE TASK SCHEDULING IN CLOUD COMPUTING

2021 ◽  
Vol 9 (2) ◽  
pp. 913-928
Author(s):  
Yadaiah Balagoni, Et. al.
Keyword(s):  
Energy Efficiency ◽  
State Of The Art ◽  
Scheduling Algorithm ◽  
Cloud Service ◽  
The State ◽  
Cloud Services ◽  
Hybrid Cloud ◽  
Cloud Environment ◽  
Cloud Infrastructure ◽  
Integrated Framework

Cloud services are offered to consumers based on Service Level Agreements (SLAs) signed between Cloud Service Provider (CSP) and consumer. Due to on-demand provisioning of resources there is exponential growth of cloud consumers. Job scheduling is one of the areas that has attracted researchers to improve performance of cloud management system. Along with the on premise infrastructure, Small and Medium Enterprises (SMEs) also depend on public cloud infrastructure (leading to hybrid cloud) for seamless continuity of their businesses. In this context, ensuring SLAs and effective management of hybrid cloud resources are major challenging issues to be considered. Hence, there is a need for an effective scheduling algorithm which considers multiple objective functions like SLA (deadline), cost and energy while making scheduling decisions. Most of the state of the art schedulers in hybrid cloud environment considered single objective function. However, in real world, it is inadequate for scheduling effectiveness. To overcome this problem, we proposed an integrated framework which ensures SLAs (deadline), cost effectiveness and energy efficiency with an underlying scheduling algorithm known as SCE-TS. This algorithm is evaluated with different workloads and SLAs using a cloud platform. The empirical study revealed that the proposed framework improves scheduling efficiency in terms of meeting SLAs, cost and energy efficiency. It is evaluated and compared with the state of the art and found to be effective in making scheduling decisions in cloud environment.

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