Handling Load intensive Applications Using Aneka Cloud Platform Integrated with Amazon EC2

2021 ◽  
pp. 108-114
Author(s):  
K. Manjula ◽  
S. Meenakshi Sundaram
Keyword(s):  
Cloud Platform ◽  
Amazon Ec2

scholarly journals Distrinet

2021 ◽  
Vol 51 (1) ◽  
pp. 2-9
Author(s):  
Giuseppe Di Lena ◽  
Andrea Tomassilli ◽  
Damien Saucez ◽  
Frédéric Giroire ◽  
Thierry Turletti ◽  
...  
Keyword(s):  
Complex Systems ◽  
Cloud Platform ◽  
Distributed Implementation ◽  
Amazon Ec2

Networks have become complex systems that combine various concepts, techniques, and technologies. As a consequence, modelling or simulating them now is extremely complicated and researchers massively resort to prototyping techniques. Mininet is the most popular tool when it comes to evaluate SDN propositions. Mininet allows to emulate SDN networks on a single computer but shows its limitations with resource intensive experiments as the emulating host may become overloaded. To tackle this issue, we propose Distrinet , a distributed implementation of Mininet over multiple hosts, based on LXD/LXC, Ansible, and VXLAN tunnels. Distrinet uses the same API than Mininet, meaning that it is compatible with Mininet programs. It is generic and can deploy experiments on Linux clusters (e.g., Grid'5000), as well as on the Amazon EC2 cloud platform.

scholarly journals COMPARATIVE STUDY OF CLOUD PLATFORMS -MICROSOFT AZURE, GOOGLE CLOUD PLATFORM AND AMAZON EC2

2020 ◽  
Vol 05 (02) ◽  
pp. 60-64
Author(s):  
Pallavi Wankhede ◽  
Minaiy Talati ◽  
Rutuja Chinchamalatpure
Keyword(s):  
Comparative Study ◽  
Cloud Platform ◽  
Microsoft Azure ◽  
Amazon Ec2

Multimedia system and database simulation based on internet of things and cloud service platform

2020 ◽  
pp. 1-12
Author(s):  
Zhang Caiqian ◽  
Zhang Xincheng
Keyword(s):  
Internet Of Things ◽  
Cloud Service ◽  
Multimedia System ◽  
The Internet ◽  
Multimedia Database ◽  
Cloud Platform ◽  
Service Platform ◽  
Device Management ◽  
Cloud Service Platform ◽  
The Internet Of Things

The existing stand-alone multimedia machines and online multimedia machines in the market have certain deficiencies, so they cannot meet the actual needs. Based on this, this research combines the actual needs to design and implement a multi-media system based on the Internet of Things and cloud service platform. Moreover, through in-depth research on the MQTT protocol, this study proposes a message encryption verification scheme for the MQTT protocol, which can solve the problem of low message security in the Internet of Things communication to a certain extent. In addition, through research on the fusion technology of the Internet of Things and artificial intelligence, this research designs scheme to provide a LightGBM intelligent prediction module interface, MQTT message middleware, device management system, intelligent prediction and push interface for the cloud platform. Finally, this research completes the design and implementation of the cloud platform and tests the function and performance of the built multimedia system database. The research results show that the multimedia database constructed in this paper has good performance.

ATTITUDE OF LIBRARY PROFESSIONALS TOWARDS ADOPTION OF CLOUD COMPUTING TECHNOLOGY IN VTU AFFILIATED ENGINEERING COLLEGES LIBRARIES

2019 ◽  
pp. 1-4
Author(s):  
C. T. Kantharaja
Keyword(s):  
Cloud Computing ◽  
Academic Libraries ◽  
Technical Skills ◽  
Library Services ◽  
Cloud Platform ◽  
Computing Technology ◽  
Management Software ◽  
Library Management ◽  
The Right ◽  
Library Professionals

Cloud computing technology has signicant role in academic libraries. Most of the library services are available on cloud platform and library software vendors developed their Library Management Software on cloud platform. It is the right time for library professionals to upgrade their technical skills to provide good services to the library stakeholders. This study shows the library services and facilities available on cloud. It is the right time to migrate to cloud

The Research of Measuring Approach and Energy Efficiency for Hadoop Periodic Jobs

2015 ◽  
Vol 8 (1) ◽  
pp. 206-210 ◽  
Author(s):  
Yu Junyang ◽  
Hu Zhigang ◽  
Han Yuanyuan
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Energy Consumption ◽  
Energy Saving ◽  
Energy Estimate ◽  
Cloud Platform ◽  
Periodic Tasks ◽  
Current Consumption ◽  
Reduce Energy Consumption

Current consumption of cloud computing has attracted more and more attention of scholars. The research on Hadoop as a cloud platform and its energy consumption has also received considerable attention from scholars. This paper presents a method to measure the energy consumption of jobs that run on Hadoop, and this method is used to measure the effectiveness of the implementation of periodic tasks on the platform of Hadoop. Combining with the current mainstream of energy estimate formula to conduct further analysis, this paper has reached a conclusion as how to reduce energy consumption of Hadoop by adjusting the split size or using appropriate size of workers (servers). Finally, experiments show the effectiveness of these methods as being energy-saving strategies and verify the feasibility of the methods for the measurement of periodic tasks at the same time.

A Defense Mechanism Based on Improved Allocation Strategy of VMs Co-Resident Attack in Power Cloud Platform

2020 ◽  
Vol 13 ◽  
Author(s):  
Yuancheng Li ◽  
Pan Zhang ◽  
Daoxing Li ◽  
Jing Zeng
Keyword(s):  
Virtual Machine ◽  
Simulation Experiment ◽  
Virtual Machines ◽  
Defense Mechanism ◽  
Security Threats ◽  
Allocation Strategy ◽  
Cloud Platform ◽  
Deployment Strategy ◽  
Dbscan Algorithm ◽  
Maximum Minimum

Background: Cloud platform is widely used in electric power field. Virtual machine co-resident attack is one of the major security threats to the existing power cloud platform. Objective: This paper proposes a mechanism to defend virtual machine co-resident attack on power cloud platform. Method: Our defense mechanism uses the DBSCAN algorithm to classify and output the classification results through the random forest and uses improved virtual machine deployment strategy which combines the advantages of random round robin strategy and maximum/minimum resource strategy to deploy virtual machines. Results: we made a simulation experiment on power cloud platform of State Grid and verified the effectiveness of proposed defense deployment strategy. Conclusion: After the virtual machine deployment strategy is improved, the coverage of the virtual machine is remarkably reduced which proves that our defense mechanism achieves some effect of defending the virtual machine from virtual machine co-resident attack.

MPI Meets Cloud: Case Study with Amazon EC2 and Microsoft Azure

2020 ◽  
Author(s):  
Shulei Xu ◽  
S. Mahdieh Ghazimirsaeed ◽  
Jahanzeb Maqbool Hashmi ◽  
Hari Subramoni ◽  
Dhabaleswar K. Panda
Keyword(s):  
Microsoft Azure ◽  
Amazon Ec2
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