An Adaptive Framework For Bandwidth Allocation In Cloud Networks

The increasing user demands for services in Virtual Machines and Cloud computing has made the resource allocation an impossible task to be manually performed by human operators. Software Defined Networks (SDNs) and Virtual Networks have been increasingly getting attention as a way for managing these configurations due to the abstraction of the controlling part of the network and its decoupling from the forwarding layer. In this partial paper, we summarize the paradigm of SDNs and Virtual Networks and survey the state of-the-art of dynamic resource allocation in the field of Virtual Machines and Cloud computing using SDNs and Virtual Networks.

[1]  Yonggang Wen,et al.  “ A Survey of Software Defined Networking , 2020 .

[2]  Swapnil M. Parikh.  A survey on cloud computing resource allocation techniques , 2013, 2013 Nirma University International Conference on Engineering (NUiCONE).

[3]  Raouf Boutaba,et al.  A survey of network virtualization , 2010, Comput. Networks.

[4]  Thierry Turletti,et al.  A Survey of Software-Defined Networking: Past, Present, and Future of Programmable Networks , 2014, IEEE Communications Surveys & Tutorials.

[5]  Ke Wang,et al.  Joint allocation and scheduling of network resource for multiple control applications in SDN , 2014, 2014 IEEE Network Operations and Management Symposium (NOMS).

[6]  Filip De Turck,et al.  Design and evaluation of learning algorithms for dynamic resource management in virtual networks , 2014, 2014 IEEE Network Operations and Management Symposium (NOMS).

[7]  Djamal Zeghlache,et al.  An adaptive load balancing scheme for evolving virtual networks , 2015, 2015 12th Annual IEEE Consumer Communications and Networking Conference (CCNC).

[8]  Filip De Turck,et al.  Hierarchical network-aware placement of service oriented applications in Clouds , 2014, 2014 IEEE Network Operations and Management Symposium (NOMS).