TY - GEN
T1 - Design and analysis of Deadline and Budget Constrained Autoscaling (DBCA) algorithm for 5g mobile networks
AU - Phung-Duc, Tuan
AU - Ren, Yi
AU - Chen, Jyh-Cheng
AU - Yu, Zheng Wei
PY - 2017/1/23
Y1 - 2017/1/23
N2 - In cloud computing paradigm, virtual resource autoscaling approaches have been intensively studied recent years. Those approaches dynamically scale in/out virtual resources to adjust system performance for saving operation cost. However, designing the autoscaling algorithm for desired performance with limited budget, while considering the existing capacity of legacy network equipment, is not a trivial task. In this paper, we propose a Deadline and Budget Constrained Autoscaling (DBCA) algorithm for addressing the budget-performance tradeoff. We develop an analytical model to quantify the tradeoff and cross-validate the model by extensive simulations. The results show that the DBCA can significantly improve system performance given the budget upper-bound. In addition, the model provides a quick way to evaluate the budget-performance tradeoff and system design without wide deployment, saving on cost and time.
AB - In cloud computing paradigm, virtual resource autoscaling approaches have been intensively studied recent years. Those approaches dynamically scale in/out virtual resources to adjust system performance for saving operation cost. However, designing the autoscaling algorithm for desired performance with limited budget, while considering the existing capacity of legacy network equipment, is not a trivial task. In this paper, we propose a Deadline and Budget Constrained Autoscaling (DBCA) algorithm for addressing the budget-performance tradeoff. We develop an analytical model to quantify the tradeoff and cross-validate the model by extensive simulations. The results show that the DBCA can significantly improve system performance given the budget upper-bound. In addition, the model provides a quick way to evaluate the budget-performance tradeoff and system design without wide deployment, saving on cost and time.
KW - 5G
KW - Autoscaling Algorithm
KW - Cloud Networks
KW - Modeling and Analysis
KW - Network Function Virtualization
KW - Virtualized EPC
UR - http://www.scopus.com/inward/record.url?scp=85013001140&partnerID=8YFLogxK
U2 - 10.1109/CloudCom.2016.0030
DO - 10.1109/CloudCom.2016.0030
M3 - Conference contribution
AN - SCOPUS:85013001140
T3 - Proceedings of the International Conference on Cloud Computing Technology and Science, CloudCom
SP - 94
EP - 101
BT - Proceedings - 8th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2016
PB - IEEE Computer Society
T2 - 8th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2016
Y2 - 12 December 2016 through 15 December 2016
ER -