An autonomic decision tree‐based and deadline‐constraint resource provisioning in cloud applications

2021 ◽  
Author(s):  
Arash Mazidi ◽  
Mehregan Mahdavi ◽  
Fahimeh Roshanfar
Keyword(s):  
Decision Tree ◽  
Resource Provisioning ◽  
Cloud Applications ◽  
Deadline Constraint

scholarly journals A REVIEW ON ENGERY EFFICIENT STRATEGY FOR TASK ALLOCATION IN CLOUD ENVIRONMENT

2016 ◽  
Vol 15 (9) ◽  
pp. 7035-7040
Author(s):  
Sakshi Grover ◽  
Mr. Navtej Singh Ghumman
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Resource Provisioning ◽  
Research Issues ◽  
Efficient Management ◽  
Dynamic Resource Provisioning ◽  
Computing Platforms ◽  
And Performance ◽  
Cloud Applications ◽  
Allocation Algorithms

Although cloud computing is now becoming more advanced and matured as many companies have released their own computing platforms to provide services to public, but the research on cloud computing is still in its infancy. Apart from many other challenges of cloud computing, efficient management of energy is one of the most challenging research issues. In this paper we review the existing algorithm of dynamic resource provisioning and allocation algorithms and holistically work to boost data center energy efficiency and performance. This particular paper purposes a) heterogeneous workload and its implication on data centers energy efficiency b) solving the problem of VM resource scheduling to cloud applications

Resource provisioning for cloud applications: a 3-D, provident and flexible approach

2017 ◽  
Vol 74 (12) ◽  
pp. 6470-6501 ◽  
Author(s):  
Mohammad Sadegh Aslanpour ◽  
Seyed Ebrahim Dashti ◽  
Mostafa Ghobaei-Arani ◽  
Ali Asghar Rahmanian
Keyword(s):  
Resource Provisioning ◽  
Flexible Approach ◽  
Cloud Applications

Elastic Application Container System

2015 ◽  
pp. 920-942
Author(s):  
Sijin He ◽  
Li Guo ◽  
Yike Guo
Keyword(s):  
Web Application ◽  
Web Applications ◽  
Resource Efficiency ◽  
Resource Provisioning ◽  
Resource Usage ◽  
System Technology ◽  
Resource Unit ◽  
Cloud Technologies ◽  
Cloud Applications ◽  
The Web

Cloud applications have been gaining popularity in recent years for their flexibility in resource provisioning according to Web application demands. The Elastic Application Container (EAC) system is a technology that delivers a lightweight virtual resource unit for better resource efficiency and more scalable Web applications in the Cloud. It allows multiple application providers to concurrently run their Web applications on this technology without worrying the demand change of their Web applications. This is because the EAC system constantly monitors the resource usage of all hosting Web applications and automatically reacts to the resource usage change of Web applications (i.e. it automatically handles resource provisioning of the Web applications, such as scaling of the Web applications according to the demand). In the chapter, the authors firstly describe the architecture, its components of the EAC system, in order to give a brief overview of technologies involved in the system. They then present and explain resource-provisioning algorithms and techniques used in the EAC system for demand-driven Web applications. The resource-provisioning algorithms are presented, discussed, and evaluated so as to give readers a clear picture of resource-provisioning algorithms in the EAC system. Finally, the authors compare this EAC system technology with other Cloud technologies in terms of flexibility and resource efficiency.

scholarly journals ERP: An elastic resource provisioning approach for cloud applications

PLoS ONE ◽  
2019 ◽  
Vol 14 (4) ◽  
pp. e0216067 ◽  
Author(s):  
Danqing Feng ◽  
Zhibo Wu ◽  
DeCheng Zuo ◽  
Zhan Zhang
Keyword(s):  
Resource Provisioning ◽  
Cloud Applications

Data Intensive Cloud Computing

Big Data ◽  
2016 ◽  
pp. 639-654
Author(s):  
Jayalakshmi D. S. ◽  
R. Srinivasan ◽  
K. G. Srinivasa
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Cluster Computing ◽  
Resource Provisioning ◽  
Data Intensive ◽  
Scientific Value ◽  
Data Intensive Applications ◽  
Cloud Applications ◽  
Problem Data ◽  
Huge Challenge

Processing Big Data is a huge challenge for today's technology. There is a need to find, apply and analyze new ways of computing to make use of the Big Data so as to derive business and scientific value from it. Cloud computing with its promise of seemingly infinite computing resources is seen as the solution to this problem. Data Intensive computing on cloud builds upon the already mature parallel and distributed computing technologies such HPC, grid and cluster computing. However, handling Big Data in the cloud presents its own challenges. In this chapter, we analyze issues specific to data intensive cloud computing and provides a study on available solutions in programming models, data distribution and replication, resource provisioning and scheduling with reference to data intensive applications in cloud. Future directions for further research enabling data intensive cloud applications in cloud environment are identified.

Elastic Application Container System

2014 ◽  
pp. 376-398 ◽  
Author(s):  
Sijin He ◽  
Li Guo ◽  
Yike Guo
Keyword(s):  
Web Application ◽  
Web Applications ◽  
Resource Efficiency ◽  
Resource Provisioning ◽  
Resource Usage ◽  
System Technology ◽  
Resource Unit ◽  
Cloud Technologies ◽  
Cloud Applications ◽  
The Web

Cloud applications have been gaining popularity in recent years for their flexibility in resource provisioning according to Web application demands. The Elastic Application Container (EAC) system is a technology that delivers a lightweight virtual resource unit for better resource efficiency and more scalable Web applications in the Cloud. It allows multiple application providers to concurrently run their Web applications on this technology without worrying the demand change of their Web applications. This is because the EAC system constantly monitors the resource usage of all hosting Web applications and automatically reacts to the resource usage change of Web applications (i.e. it automatically handles resource provisioning of the Web applications, such as scaling of the Web applications according to the demand). In the chapter, the authors firstly describe the architecture, its components of the EAC system, in order to give a brief overview of technologies involved in the system. They then present and explain resource-provisioning algorithms and techniques used in the EAC system for demand-driven Web applications. The resource-provisioning algorithms are presented, discussed, and evaluated so as to give readers a clear picture of resource-provisioning algorithms in the EAC system. Finally, the authors compare this EAC system technology with other Cloud technologies in terms of flexibility and resource efficiency.

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