New trends of resource provisioning in multi-tier cloud computing

Marwah Hashim Eawna; Salma Hamdy; El-Sayed M. El-Horbaty

doi:10.1109/IntelCIS.2015.7397226

New trends of resource provisioning in multi-tier cloud computing

Marwah Hashim Eawna^*, Salma Hamdy, El-Sayed M. El-Horbaty

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

Cloud Computing is an emerging trend in the outsourced information technology (OIT) and provides a lot of functions as services. However, it suffers from many challenges such as resource provisioning, integrity, federation, and security. This paper focuses on the major problem, resource provisioning, that explored by many companies and researchers as a critical problem. Such researches are attempted to find method that minimizes provisioning time and reduces the number of resources in the cloud environment. Consequently, this paper proposes a dynamic resources provisioning algorithm by using Artificial Bees Colony (ABC) and Ant Colony Optimization (ACO) and focus on time optimization in multi-tier clouds. Accordingly, the obtained results show that the ACO faster than other meta-heuristic algorithm such as ABC, Particle Swarm Optimization (PSO), Simulated Annealing (SA) and hybrid Particle Swarm Optimization-Simulated Annealing (PSO-SA).

Original language	English
Title of host publication	2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)
Publisher	IEEE
Pages	224-230
Number of pages	7
ISBN (Electronic)	9781509019502
ISBN (Print)	9781509019496
DOIs	https://doi.org/10.1109/IntelCIS.2015.7397226
Publication status	Published - 2015
Externally published	Yes
Event	IEEE Seventh International Conference on Intelligent Computing and Information Systems : ICICS - Cairo, Egypt Duration: 12 Dec 2015 → 14 Dec 2015

Conference

Conference	IEEE Seventh International Conference on Intelligent Computing and Information Systems
Country/Territory	Egypt
City	Cairo
Period	12/12/15 → 14/12/15

Keywords

Cloud computing
Outsourced IT
Resource provisioning
Artificial bee colony
Ant colony optimization
Particle swarm optimization

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/IntelCIS.2015.7397226

Cite this

@inproceedings{90afd7606914451d85c6b87ae3d8eb87,

title = "New trends of resource provisioning in multi-tier cloud computing",

abstract = "Cloud Computing is an emerging trend in the outsourced information technology (OIT) and provides a lot of functions as services. However, it suffers from many challenges such as resource provisioning, integrity, federation, and security. This paper focuses on the major problem, resource provisioning, that explored by many companies and researchers as a critical problem. Such researches are attempted to find method that minimizes provisioning time and reduces the number of resources in the cloud environment. Consequently, this paper proposes a dynamic resources provisioning algorithm by using Artificial Bees Colony (ABC) and Ant Colony Optimization (ACO) and focus on time optimization in multi-tier clouds. Accordingly, the obtained results show that the ACO faster than other meta-heuristic algorithm such as ABC, Particle Swarm Optimization (PSO), Simulated Annealing (SA) and hybrid Particle Swarm Optimization-Simulated Annealing (PSO-SA).",

author = "Eawna, {Marwah Hashim} and Salma Hamdy and El-Horbaty, {El-Sayed M.}",

year = "2015",

doi = "10.1109/IntelCIS.2015.7397226",

language = "English",

isbn = "9781509019496",

pages = "224--230",

booktitle = "2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)",

publisher = "IEEE ",

note = "IEEE Seventh International Conference on Intelligent Computing and Information Systems : ICICS ; Conference date: 12-12-2015 Through 14-12-2015",

}

Eawna, MH, Hamdy, S & El-Horbaty, E-SM 2015, New trends of resource provisioning in multi-tier cloud computing. in 2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS). IEEE , pp. 224-230, IEEE Seventh International Conference on Intelligent Computing and Information Systems , Cairo, Egypt, 12/12/15. https://doi.org/10.1109/IntelCIS.2015.7397226

TY - GEN

T1 - New trends of resource provisioning in multi-tier cloud computing

AU - Eawna, Marwah Hashim

AU - Hamdy, Salma

AU - El-Horbaty, El-Sayed M.

PY - 2015

Y1 - 2015

N2 - Cloud Computing is an emerging trend in the outsourced information technology (OIT) and provides a lot of functions as services. However, it suffers from many challenges such as resource provisioning, integrity, federation, and security. This paper focuses on the major problem, resource provisioning, that explored by many companies and researchers as a critical problem. Such researches are attempted to find method that minimizes provisioning time and reduces the number of resources in the cloud environment. Consequently, this paper proposes a dynamic resources provisioning algorithm by using Artificial Bees Colony (ABC) and Ant Colony Optimization (ACO) and focus on time optimization in multi-tier clouds. Accordingly, the obtained results show that the ACO faster than other meta-heuristic algorithm such as ABC, Particle Swarm Optimization (PSO), Simulated Annealing (SA) and hybrid Particle Swarm Optimization-Simulated Annealing (PSO-SA).

AB - Cloud Computing is an emerging trend in the outsourced information technology (OIT) and provides a lot of functions as services. However, it suffers from many challenges such as resource provisioning, integrity, federation, and security. This paper focuses on the major problem, resource provisioning, that explored by many companies and researchers as a critical problem. Such researches are attempted to find method that minimizes provisioning time and reduces the number of resources in the cloud environment. Consequently, this paper proposes a dynamic resources provisioning algorithm by using Artificial Bees Colony (ABC) and Ant Colony Optimization (ACO) and focus on time optimization in multi-tier clouds. Accordingly, the obtained results show that the ACO faster than other meta-heuristic algorithm such as ABC, Particle Swarm Optimization (PSO), Simulated Annealing (SA) and hybrid Particle Swarm Optimization-Simulated Annealing (PSO-SA).

U2 - 10.1109/IntelCIS.2015.7397226

DO - 10.1109/IntelCIS.2015.7397226

M3 - Conference contribution

SN - 9781509019496

SP - 224

EP - 230

BT - 2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)

PB - IEEE

T2 - IEEE Seventh International Conference on Intelligent Computing and Information Systems

Y2 - 12 December 2015 through 14 December 2015

ER -

New trends of resource provisioning in multi-tier cloud computing

Abstract

Conference

Keywords

UN SDGs

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