SDN Cloud Projects for Master Thesis Students

SDN Cloud Projects for Master Thesis Students is one of our prime services started as a knowledge sharing platform for students and research scholars. We motivate our research scholars and students in research with the help of our experience and expertise worldwide. Recently, we have served nearly 6000+ students through our 120+ branches worldwide. So We mainly focused on the quality of work and customer full satisfaction which extend our services in the globe.

We often explore our innovative and ingenious ideas through our conducted seminars, conferences, workshops, and faculty training program worldwide. We are also certified in ISO 9001.2000 for best quality and standard, and we have got positive feedback about our smart work, which makes us extend our services to over 120+ places worldwide. Recently, we have developed nearly 5000+ projects and at present working on 2000+ projects. We also provide a facility called knowledge sharing between the researchers and students through our own network. If you have your own project ideas, share them with our experts and get your perfect assistance to accomplish your project on time.

Projects for SDN Cloud in Master Thesis Students

SDN Cloud Projects for Master Thesis Students provide you innovative platform to shine your research career successfully. We support research scholars and students through our Master Thesis Students service effectively on SDN cloud to organize them for viva voice. Our ultimate aim is to motivate and equip students with knowledge in SDN to improve their academic grades in their academic.

We provide support for all types of students like undergraduate [BE, BTech], postgraduate [ME, MTech, MCA], and research scholars [MPhil, MS, PhD] in various disciplines like ECE, EEE, EIE, etc.

Now let’s have a glance a brief review of SDN cloud computing for your best understanding,

Our Master Thesis Covers

Topic selection
Synopsis assistance
Data collection
Editing & formatting
100% Non-plagiarized work
Free quality assurance report
Research article publication
Indexing assistance
Free reference pages
Expert custom writers
Free cover page

Key Features of SDN-Cloud

It enables resource adaptation and easy reconfiguration to enhance QoS in cloud infrastructure
We provides the network operators and data centers to flexibly manage their networking equipment
It is used to overcome the challenges of cloud computing systems
Decouples the control and management of network from the data plane using software defined networking
Cloud computing capabilities with software defined networking integration
Extending the concept of virtualization to all the resources in a data centre using software defined cloud computing approach for automating the process of optimal cloud configuration
SDN based cloud federation using building blocks that are following,

-Core nodes which enables OpenFlow [switch traffic between edge nodes]

-Used to configure the flow forwarding tables in cloud backbone and provides WAN network visualization applications [SDN / OpenFlow based controller]

-Orchestration software [Manage resource management of storage / compute, inter-data center network management and inter-cloud workflow, enterprise and private data center federation

-Connects the enterprise and also cloud provider data center using OpenFlow enabled cloud backbone edge nodes

Tools and Software

CloudSimSDN:

SDN enabled cloud environment also using simulation framework
The joint allocation of network and also compute resource used to enables the simulation of policies based on cloudsim
Accelerate the innovation pace, accessible and also easy to learn testbeds
To evaluate the network allocation capacity policies
SDN based cloud data centers is also capable of evaluating resource management policies
To simplifies the simulation configuration and also reduces the learning curves to provide graphical user interface (GUI)
In measure both performance metrics to guarantee energy consumption and QoS to ensure cost reduction and also environment conservation used to simulate cloud data center, switches, physical machines, virtual topologies, and network links

OpenFlow[Omnet Framework] and iCanCloud:

SDN Openflow also using OMNET framework support
The simulation of cloud computing systems also using iCanCloud
SDN based cloud computing networking also using integration of both simulators
Quickly simulate uni-core and multi-core systems also for customizable VMS can be used
It is also prominent approach implements the SDN concept and offers high flexibility in the routing of network flows.

OpenStack+ Horizon GUI:

Web based user interface to OpenStack services support
Horizon [canonical implementation of OpenStack’s dashboard]

Hyperglance:

Creation and also quick identification of optimum flows from one host to another host support
Cloud and SDN support also for the consistent management

Juniper Conrail SDN on Ubuntu OpenStack:

Deploy Ubuntu OpenStack also using canonicals cloud service modeling tool-Juju and Juniper network contrail networking

Algorithms and Protocols Used:

Resource embedding algorithms
Adaptive scheduling algorithms
Workload scheduling algorithms
Open flow protocol
Adaptive alienated ant algorithm
Markov chain process bandwidth allocation
Agent based dynamic load balancing also in algorithm
Protocols like STP, OSPF, BGP, L2/L3 protocols etc
Firefly algorithm
Hybrid scheduling algorithm
Modified Floyd warshall also in algorithm
Bellman ford algorithm
Flow-Holding also in algorithm
Routing tree algorithms
Securing neighbor discovery protocol
Multipath scheduling protocol
Topology based algorithm
Block mapping of software defined also in protocol
Software defined dynamic optimization also in algorithm
Joint flow scheduling also in algorithm

Recent Research Topics

Industry 4.0 based on IoTs and also cloud computing using SDN-enabled network virtualization
Holt-Winters and genetic algorithm also with fuzzy logic for Dos/DDoS mitigation on SDN networks for game theoretical based system
Distributed scientific computing also using NSFGENI cloud enabled architecture
M2M networks also using cloud based 6LoWPAN Testbed using Sd-NFV as an energy efficient approach
Flexible data center networks also using improved SDN-based fabric
SDN-based cloud environments also using tenant-driven network traffic extraction
SDN environment also using security analysis as software-defined security
Provider and also delay for user in software defined data centers using joint optimization of bandwidth

We also provide this information to have a brief idea about SDN Cloud Master Thesis Students. Apart from the thesis writing, we also support project development, journal paper writing and journal publication, etc. Feel free to get in touch with us if you feel we can also help or have any questions about Projects and Master Thesis Students. Our online service is also available 24×7.