Keywords applicable to this article: dissertation, research, topics, information, technology,
systems, virtual data centres, cloud computing, virtualization, cloud computing, green data
centre, unified threat management, opnet modeler academic edition, network modeling,
network simulation:
By:
Sourabh Kishore, Chief Consulting Officer

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Topic development for Research Projects in Theses and
Dissertations related to Virtualization, Cloud Computing,
Green Data Centre and Unified Threat Management
Frameworks.
In the modern world, Information and Communication Technologies are very closely integrated to form total solutions for businesses. Hence, many
academic topics for dissertation and thesis research projects can comprise of problem areas addressing both these technologies when investigated in the
context of corporate business solutions, and for solutions for government organisations, not-for-profit organisations, and public infrastructure services.
Some of the solutions in IT are widely debated because they are being claimed to be the future of computing infrastructures for IT enabled businesses. I have
come across numerous white papers that attempt to establish the feasibility of these technology solutions. These white papers, mostly sponsored by original
equipment manufacturers, solution providers and service providers, have been very effective in outlining the benefits of these new solutions and their high
level design details such that corporate business owners have started taking interest in them. Virtualization, Cloud Computing, Green Data Centres and
Unified Threat Management Solutions are four such areas in which, significant number of academic research studies are required. The research topics
related to virtualization, green data centres, and unified threat management require studies of fundamentals related to cloud computing architectures,
technologies, and infrastructures given that cloud computing is a successor of grid computing in which, these technologies had evolved. Grid computing
itself transformed into cloud computing after the advent of service-orientation in computing employing Hadoop, Map-Reduce, Big Data, WSDL, HTML5,
XML, SOAP, Software Defined Networking, and multiple existing and emerging technologies. A number of studies on cloud computing architectures,
technologies, and infrastructures have been conducted in the past but they have covered only small parts of this massive computing domain. Many
customers are already running pilots and partial cloud services in their IT infrastructure systems but the mechanism of learning from them is not clearly
defined and implemented. Such large scale changes in the world of IT systems and networking cannot be implemented based on ad-hoc learning from pilots
given that unstructured learning approaches can lead to incorrect and biased conclusions thus causing major setbacks to the businesses. The focus should
not be only on saving capital expenditure and operating costs but also on IT services, IT governance, Information Security, Enterprise & Business Security,
Compliance, Reliability, Performance, Uptime, Scalability, Manageability, Serviceability, Disaster Recovery, Business Continuity, and Sustainability. In fact,
the ground level implementation plans and their challenges are inadequately analysed, tested and ratified. The academic community can find numerous
opportunities in establishing the validity of these new solutions. The students should focus on studying the realisation of business benefits claimed by the
OEMs and Solution Providers such that the other side of picture evolves clearly. I hereby present an outline of these research areas and the suggested topics
for the benefit of students undertaking higher studies in IT systems for their dissertation and theses research projects.

In addition to the suggestions below, please contact us at consulting@etcoindia.co or consulting@etcoindia.net to get more
topic suggestions and to discuss your topic. We will be happy to assist you in developing your narrow research topic with an
original contribution based on the research context, research problem, and the research aim, and objectives.

(A) Green Data Centres: This is also referred to as sustainable data centres by many analysts. The detailed specifications for designing and deploying
green data centres have been released by many companies and independent technology analysts. The primary target of green data centres is to achieve
"conservation as much as possible" - energy conservation, space conservation, cost conservation, resource conservation, etc. The designers try to implement
systems that are as lean as possible. But Gartner reports have warned about threats of crossing conservation thresholds that can result in reduced
performance, reduced productivity, reduced disaster recovery capability and above all, reduced capacity and flexibility to take on the business growth
challenges. Unfortunately, the consulting world is closely affiliated to the OEMs and Suppliers and hence all designs and solutions are normally biased to
achieve sales targets. Hence, I suggest that students should come forward and undertake dissertations and thesis research projects to study the designs,
implementation plans and maintenance/running/upgrading challenges of green data centres. A number of topics can evolve especially if the studies are
focussed at the local geographies where the students are residing. The reader will appreciate the fact that medium to large scale data centres require
enormous power capacities that the buildings meant for office spaces cannot build to host them even if they have the requisite space for hosting the racks for
network devices and servers. In my consulting assignments, I have struggled significantly to fit the equipment power ratings into the power budget
provided by the building administrators. A medium to large scale data centre may require anywhere between 500 KVA to 1200 KVA (or may be more) of
power capacity which is not provided by even large scale builders offering office spaces of the order of 100000 square feet per floor or more; and yes, please
keep in mind that I am only talking about the data centre and not the desktops, laptops, lights, airconditioning, heating, etc. of the employee areas. With the
rapid growth of businesses in the modern world of globalization, data centres can no longer be squeezed and made a bottleneck for business growth. This
is, probably, the last thing upon which a business may like to compromise. Hence, Green Data Centres appear to be the solution for the future. Also, it will
be well integrated with the philosophy of the Green Building revolution across the world. Every original equipment manufacturer is working towards
reducing the power consumption ratings of its products. They have already done well in reducing the form factor and hence the heat dissipation of servers
and network equipment, but energy conservation is still not addressed adequately. Overall, the total solutions should be a combination of energy efficient
solutions and products. In this context, virtualization is gaining significant popularity across the world. The students may like to conduct separate
researches on implementation of green data centres and virtualization or else combine both of them to conduct integrated researches.

The framework of green data centres should take into account the triple bottom line objectives of environment protection, economical management and
operations, and people-friendly systems, structures, policies, and procedures. The focus should be on achieving the objectives in a balanced manner using
multiobjectives criteria. The studies on green data centres may be designed to explore the following areas pertaining to characteristics, performance metrics,
and measures of green data centres (study of the key characteristics of green data centres and the key performance metrics and measurement methods that
help in determining the greenness performance of the data centre operations ), and technical standards and solutions for meeting the sustainability
objectives of the green data centres:

(1) Energy efficiency and performance measures
(2) Lighting efficiency and perfromance measures
(3) Form factors and floor area usage per million units of performance and capacity
(4) Deployment and stacking of servers, backup systems, storage systems & networking, and communications equipment,
(5) Green racks and enclosures
(6) Heat dissipation efficiency, cooling efficiency, and humidity control efficiency
(7) Green standards for cabling and connectivity
(8) Reduction of greenhouse gases emissions, carbon foot prints, and other harmful emissions
(9) Reduction of noise pollution
(10) Protection against fire hazards, smoke hazards, explosions, radiations, and other forms of hazards
(11) Economics and costs efficiency of managing assets and data centre operations; green budgeting while designing a green data centre
(12) Distributed architecture, decentralisation and virtualisation
(13) Design excelence and efficiency in software systems, server systems, input/output systems, peripherals, data storage, and communication systems
(14) Processing, storage, and communications efficiency and performance measures (virtualisation and cloud computing)
(15) Dynamic provisioning, utilisating, and load balancing of processing, storage, and communication systems
(16) Detection, monitoring, and management of heat waves, hot spots, hot and cold aisles, and air flow density
(17) Reduced physical deployments through optimisation of virtual deployments
(18) Eliminating redundant and duplicate data, and practising compressions for optimising data storage
(19) Considering green data centre standards in building architectures and designs
(20) Clean and renewable energy systems for powering the data centres (such as solar panels deployed on the top of the building)
(21) Optimum utilisation of all ICT assets and resources
(22) People-friendly organisation structures, operating procedures, work stacks, methods, tools, techniques, and protection equipment
(23) Factors contributing to value creation in green data centres
(24) Legal and regulatory compliance requirements of green data centres
(25) Risk management in green data centres
(26) Eco-labeling and eco-identification protocols of ICT assets
(27) Green metrics, green measures, green testing tools, and green assessment methodologies of green data centres
(28) Green performance standards of green mobile data and cellular networks
(29) Energy conscious software and applications programming, backup and recovery designs, and data storage and data retrieval designs
(30) Energy aware decision-making and management of green data centres
(31) Dynamic activation and deactivation of components in green data centres based on activity detection (configuring activity timeouts for energy
conservation in green data centres)
(32) Green operations efficiency of hypervisors and virtual machines
(33) Dynamic performance scaling of green components based on change in environmental and operating conditions
(34) Multi-agent systems for management of green data centres
(35) Automation of awareness of consumption patterns of energy in green data centres
(36) Energy aware clustering and arrays formation in green data centres
(37) Evergy aware design, deployment, configurations, and scheduling of High Performance IT applications in virtualised cloud computing systems
(38) Energy aware design of future Internet infrastructures, and data and communications centres managed by Internet and Cloud Service Providers
(39) Integrating green data centre attributes, virtualisation attibutes, and service-orientation attributes for creating green cloud computing
(40) Green virtual networking design for grid and cloud computing infrastructures

The above list is a representative sample of the areas that can be studied in the research field of green data centres. Each area can be explored for
formulating numerous narrowed research topics for dissertation and thesis research projects. This list can be expanded further by studying the emerging
research reports, standards, and frameworks. The idea is to select one problem at a time and conduct an exploratory, mathematical, experimental, or
statistical study for designing and presenting a solution.

In addition to the suggestions above, please contact us at consulting@etcoindia.co or consulting@etcoindia.net to get more
topic suggestions and to discuss your topic. We will be happy to assist you in developing your narrow research topic with an
original contribution based on the research context, research problem, and the research aim, and objectives.

Dear Visitor: Please visit the page detailing SUBJECT AREAS OF SPECIALIZATION pertaining to our services to view the broader perspective of our
offerings for Dissertations and Thesis Projects. Please also visit the page having
TOPICS DELIVERED by us. With Sincere Regards, Sourabh Kishore..
Apologies for the interruption!! Please continue reading!!

(B) Virtualization Solutions: Virtualization has become the buzz word when future solutions for IT enabling of businesses are discussed. This refers to the
technology in which multiple virtual machines can run on a single hardware as if they are independent computers used by independent users. Some
strategists argue that virtualization is one of the key deliverables in deployment of green data centres. The products from Microsoft, VMware, and Red Hat
can enable end to end implementation of virtualization solutions. Many companies have already started implementing virtual servers in their data centres
hosted on blade server hardware. With all the buzz around, very few have employed structured research procedures to determine whether the self hosted
virtualization solutions are able to deliver to the business as per the claims made. I suggest that the students should come forward and employ empirical
techniques like Phenomenography to investigate the actual business benefits achieved by corporations by implementing in-house virtualization. A large
number of topics can evolve in this problem area. The focus should be on cost reduction as well as improvement in productivity and performance of the
business. Gartner reports have warned about many negative effects of virtualization if the corporate strategies, performance objectives and corporate
governance/information security objectives are not included in the architectures designed by the solution providers. In my consulting assignments, I have
observed that the business stake holders are very reluctant to accept virtualization to host their business critical solutions due to absence of proven track
records and absence of empirical generalizations in the academic world. This is a very vast area for academic research. The students can create multiple
virtual hosting scenarios on OPNET Modeler or similar tools and simulate the models to generate results. Additionally, the students may like to conduct
case studies on Corporations, SMEs and Entrepreneurs that have already hosted their IT systems on virtual servers. Some of the areas proposed to be
investigated are the following:

(1) Investigating different types of virtualisation solutions and virtual machine monitors
(2) Design, performance, and operations of servers after hosting multiple operating systems and applications in a virtual data centre
(3) Design, performance, and operations of virtual networking
(4) Design, performance, and operations of virtual network data storage
(5) Network traffic management in virtual data centres and virtual networks
(6) Users' experience in virtualised ICT environments
(7) Virtualising IP multimedia solutions
(8) Virtualisation and sustainability of data centres and networks
(9) Virtualising mobile data and cellular networks
(10) Resilience and fail over in virtual servers, storage systems, and networks
(11) Data organization and management in virtualsation
(12) Information security challenges and solutions in virtualised ICT infrastructures
(13) Software delivery and license management in virtualised ICT infrastructures
(14) Auditing, IT governance, IT services, of virtualised ICT infrastructures
(15) Competitive advantages gained by businesses through virtualisation
(16) The role of virtualisation in grid and cloud computing
(17) Design, deployment, testing, and evaluation of virtual ICT systems
(18) Virtualisation and rapid deployment of temporary or permanent ICT systems (such as, ICT systems for disaster relief missions)
(19) Security threats and information security solutions in virtualised ICT infrastructures
(20) Multi-agent systems for virtualisation resources management and propagating security policies and controls
(21) Virtualisation designs for green cloud computing to ensure sustainable processing, data storage, and data transmissions
(22) Optimisation and operations efficiency of hypervisors and virtual machines
(23) Resources allocation based on awareness of consumption of processing, storage, and bandwidth capacity and consumption of energy
(24) Multi-tenancy and resources sharing in virtualised ICT infrastructures and systems
(25) Virtualisation systems and communications standards and technologies for deploying and monitoring smart grid networks
(26) Application, databases, networking, and personal computing virtualisation technologies and solutions
(27) Emulations, State Mapping, and Compatibility in virtual machines implementation
(28) Emerging applications in virtual machines environments for scientific research in high power IT emulations
(29) Qualty of service and service levels assurance in virtual machines emulated environments
(30) Multi-layer static and dynamic agents for security policy and controls updating in virtual cloud computing environments
(31) Deployment, monitoring, and management of De-Militarised Zones (DMZs) in virtualised ICT infrastructures
(32) Virtual organisational clustering and virtual private clouds separated by virtual boundaries in grid and cloud computing environments
(33) Virtual machine pooling and on-demand allocation in grid and cloud computing environments
(34) Virtual machines identity attestation and identity protection of tenants in grid and cloud computing environments
(35) Role of virtual machines in virtual integration theory of cloud-based supply chain management
(36) Positioning and migration of virtual machine pools and efficient distribution of virtual amchines in grid and cloud computing environments
(37) Designing, deploying, and integrating virtual private clouds for enterprise architectures in Amazon AWS environments
(38) Role of lateral and embedded monitoring in virtual machines monitor for securing virtual ICT infrastructures
(39) Mobile IPv6 design, deployment, and monitoring in virtual mobile networks
(40) Virtual switching on cloud computing for massive virtual network designs and configurations
(41) Authentication, authorisation, and accounting systems for virtual machines allocation in cloud computing
(42) Automated management framework for managing virtual machines pools and allocations to cloud tenants
(43) Service-orientation of autonomous servers, networks, and storage virtualisation in retail clouds
(44) Changes in network security architecture and design in virtual data centres
(45) Impact of virtualisation on OLAP, Data Mining, and Data Warehousing architectures
(46) Virtual machines provisioning with quality of service guarantees in cloud computing
(47) Design of virtual campuses in E-learning using virtualisation and service-orientation in cloud computing
(48) Virtual Private Clouds for Enterprise Architectures in Cloud Computing

The above list is a representative sample of the areas that can be studied in the research field of virtualisation. Each area can be explored for formulating
numerous narrowed research topics for dissertation and thesis research projects. This list can be expanded further by studying the emerging research
reports, standards, and frameworks. The idea is to select one problem at a time and conduct an exploratory, mathematical, experimental, or statistical study
for designing and presenting a solution. For research on virtualisation and cloud computing security, please click here for access to our article on topic
development in these areas.

In addition to the suggestions above, please contact us at consulting@etcoindia.co or consulting@etcoindia.net to get more
topic suggestions and to discuss your topic. We will be happy to assist you in developing your narrow research topic with an
original contribution based on the research context, research problem, and the research aim, and objectives.

(C) Cloud Computing: This is evolving as a service facilitating IT resources on demand by virtue of applications and business services hosted on
Virtualized IT Infrastructures with green computing. Many OEMs have already launched cloud computing services to corporations across the world - like
IBM Blue Cloud, Google Apps Cloud, Amazon Elastic Compute Cloud (EC2), Amazon AWS, Microsoft Office Cloud, SAP Cloud, Oracle Cloud, Sales Force
Cloud, Adobe Creative Suite Cloud, and many more cloud service offerings. These service providers claim that the customers can get any IT resource on
demand - storage capacity, memory, network bandwidth, application license, etc. The market is developed to such an extent that millions of customers are
already availing these services. The students have significant opportunities to study the benefits of cloud computing to businesses across the world. A large
number of case studies is possible because the concept has gained popularity across the globe. It needs to be investigated if the current virtualisation service
providers on IT infrastructure clouds are fully ready to undertake the responsibility of running mission critical businesses (like banks, financial services,
trading and investments, etc.) the way they have been running reliably in traditional data centres. It will be quite interesting for the students to conduct
interviews with professionals that have already hosted their services on virtual servers. The attributes to be investigated are: Reliability, Uptime, Speed and
Performance, Elasticity (resources on demand), Billing, Information Systems Strategy, IT Strategy, Information Security, IT Governance, IT Services (to end
users), etc. The cloud computing service providers have emerged into three categories - Software as a Service (SaaS), Platform as a Service (PaaS), and
Infrastructure as a Service (IaaS). The three categories have evolved due to different business models, different ways of customer engagement, and
investments. The SaaS providers normally engage with SMEs that do not want to invest on data centres and large scale expensive software applications.
They are dependent upon PaaS and IaaS providers. The PaaS providers normally engage with SaaS providers or application service providers (ASPs) for
developing, integrating, hosting and maintaining software applications, and are dependent upon the IaaS providers. The IaaS providers normally engage
with PaaS providers, and with large enterprises that make significant use of cloud hosting along with their own self hosted virtual infrastructures. The
students may normally get access to SMEs and hence can focus on their perspectives of defining what they need and how much they need from the SaaS
providers, and what they get from the latter. For example, the SMEs may first design the business requirement specifications and translate them into
technology needs (concurrent sessions, MTUs, minimum and maximum file sizes, inter-arrival times and pattern, database connects and queries, storage
space for files and databases, retrieval times and frequencies, report generation, DSS transactions, numbers and frequencies of e-mails, concurrent users,
etc.). The technology needs can be modelled in OPNET to generate the application demands and the resulting capacity requirements on databases, servers,
and networking. The modern concept in cloud computing is pertaining to Cloudlets that can be viewed as service units packaged with multiple
components offered by SaaS, PaaS and IaaS service providers. Cloudlets can be modelled and simulated on CloudSim, and also on OPNET and OMNET++
to some extent. The students may like to focus on determining various performance, behavioural, capacity, security, availability, resilience, etc. factors from
the perspective of SMEs, and model the ways by which the three types of cloud computing service providers can deliver them. Let us understand this by an
example. Suppose that a SME needs 1024 to 4096 bytes of database files to be queried by a browser based application client that fires 10 queries per minute
per user. This is needed in parallel with 30 mails per hour per user, and 10 files of sizes 100KB to 400 KB transferred per user per hour. These parameters
can be easily configured on OPNET. The resulting statistics of application demands and resource utilisation (database, servers, networking) can give an
idea of what is needed from the SaaS provider. The SaaS provider will estimate the capacity of cloudlets based on the statistics and communicate to the PaaS
and IaaS providers. The resulting service configurations can be offered to the client at a recurring price. This is a better approach than signing the capacity
on demand SLA, in which the budget proposal to the management is impossible before signing the contract. In fact methodology of signing cloud SLAs is
one such area where numerous topics can be formulated. Some of the areas proposed to be investigated are the following:

(1) Advent of global corporate networks through cloud computing with ubiquitous access
(2) Architectures for service-orientation and service decision models for multi-tenancy on cloud computing infrastructures
(3) Consolidation of application and platform service providers through cloud computing exchanges, cloud brokers, and framework agreements
(4) Supply chains and networks reengineering through public cloud computing
(5) The ecosystem of cloud computing and its service models for individuals and businesses
(6) Applications, software, platforms, databases, storage, and networking services provisioning on cloud computing infrastructures
(7) Retail management and inventory management through RFID assets tracking in the virtual shopping malls through cloud computing
(8) Services-oriented distributed and cellular manufacturing through multi-producer collaboration on cloud computing
(9) A Survey of key technological systems and solutions on cloud computing
(10) Fundamentals of cloud-based ICT systems for small and medium sized enterprises
(11) Sustainability in ICT systems and solutions through cloud computing adoption
(12) Resource provisioning models for cloud service negotiators and service dispatchers
(13) Integrating and managing Internet of Things through cloud computing
(14) Supervisory and distributed control systems through cloud computing
(15) Virtual Machines and Virtual Networking security on cloud computing
(16) Distributed intrusion detection and prevention systems in virtual machine monitors for detecting coordinated attacks on cloud computing
(17) High Capacity and High Performance Computing on cloud computing through massively parallel cluster computing on infrastructure clouds
(18) Mutilevel and hierarchical access control and data security modeling on cloud computing
(19) Disaster Recovery and Business Continuity planning and management on cloud computing
(20) ISO 27017, NIST 800-144, ISO 27005, COBIT 5, Risk IT, CSA Cloud Controls Matrix, and COSO frameworks for information security and information
risk management on cloud computing
(21) Incident Management, Problem management, and Digital Forensics on cloud computing
(22) Optimum resource allocation based on utilisation, energy consumption awareness, and performance analysis for sustainable cloud computing
(23) Resource allocation based on service level agreements on cloud computing
(24) Multi-layer service desks and service calls routing for cloud exchanges integrating multiple service providers
(25) Failover and fault tolerance designs and specifications for disaster prevention and services continuity on cloud computing
(26) Independent cloud based storage area networks following the principles of reduntant array of independent disks (RAID) in self-hosted servers
(27) Pervasive computing and sensors networking through cloud computing infrastructures
(28) Auditability and public verifiability of data storage security on cloud computing infrastructures
(29) Scientific cloud-based applications for big data analysis, faceted search modeling, cloud-based data marts, and cloud-based data warehouses
(30) Location-based services and vehicular networking in mobile cloud computing using mobile IPv6
(31) Dynamic load distribution and regulation of images slideshows, and video and audio streaming through cloud computing
(32) Distributed architectures for massive databases of high definition images on cloud computing
(33) Multi-core processors, multi-processor servers, and multi-server arrays for massive virtual machine scalablity designs on cloud computing
(34) Massive parallel computing and scalability of business web applications on cloud computing
(35) Applications of cloud computing in national governance, public services, public procurements, and public-private partnerships
(36) IT Security and IT Governance of corporate information systems on cloud computing infrastructures
(37) Multi-phase and Multi-layer scheduling of application services offered by different service providers on cloud computing
(38) Collaborative commerce and strategic suppliers management through cloud-based supply chain management
(39) The economics and business feasibility of cloud-hosted IT versus self-hosted IT
(40) Architectures, designs, implementation approaches, and applications of mobile cloud computing
(41) Competitive advantages, competitive challenges, and industry dynamics in cloud-hosted IT environments for businesses
(42) Changes in employment management, human resources strategies, and employee productivity in cloud-based IT environments for businesses
(43) Security services, risks management, policy enforcements, and dynamic security resources allocation in mobile cloud computing
(44) Multi-agent systems for distributed data mining and warehousing on cloud computing taking data fragments from diverse data sources on the Internet
(45) Business models, architectures, designs, deployments, and applications of private and community cloud computing
(46) Emergence, value propositions, and innovations of cloud computing in developing economies
(47) Value chains and value networking through enterprise cloud computing
(48) Managed security systems and unified threat management on cloud computing infrastructures using distributed virtual machine monitors
(49) Business models, services offering, services management, and billing systems designs and deployment for cloud computing service providers
(50) Survey of attacks, exploits, detection, detentions, preventions, and remediations in cloud computing security and threat management
(51) Virtual Private Clouds and Virtual Private Networking for designing and implementing enterprise IT systems in Amazon AWS framework
(52) Dynamic virtual private networking for private and community cloud computing
(53) Legal, regulatory, trust, privacy, and auditing challenges for IT systems and applications hosted on cloud computing

The above list is a representative sample of the areas that can be studied in the research field of cloud computing. Each area can be explored for formulating
numerous narrowed research topics for dissertation and thesis research projects. This list can be expanded further by studying the emerging research
reports, standards, and frameworks. The idea is to select one problem at a time and conduct an exploratory, mathematical, experimental, or statistical study
for designing and presenting a solution. For research on virtualisation and cloud computing security, please click here for access to our article on topic
development in these areas.

In addition to the suggestions above, please contact us at consulting@etcoindia.co or consulting@etcoindia.net to get more
topic suggestions and to discuss your topic. We will be happy to assist you in developing your narrow research topic with an
original contribution based on the research context, research problem, and the research aim, and objectives.

(D) Unified Threat Management (UTM) Solutions: Unified Threat Management services framework is a new innovation in the world of Internet Service
Providers using network and host based security products operating on cloud computing platforms. This framework is expected to create new waves of
user expectations, service offerings, revenue models and client engagements that have not been tapped till date due to lack of empirical models. The SMEs
and Corporations looking forward to transitioning their IT systems to Cloud Computing platforms can hire UTM solutions from an ISP connecting them to
the Cloud Computing vendor. One can imagine AOL, AT&T or British Telecom connecting a large client with globally dispersed users to Google Apps
through UTM protected networked links from client desktops/laptops to Google servers whereby all the security controls are taken care of by UTM devices
implemented by these ISPs. This is an emerging area that requires enormous research efforts, especially from students. Consolidating security solutions
with one service provider has many implications in terms of reliability, dependability, rate of attacks and breaches, third party (service provider)
compliance to the information security policies of the customers, ownership of damages to the businesses if things go wrong, strategies to switch service
providers, etc. I suggest that students should undertake studies on comparison of UTM solutions with traditional in-house security implementation of
corporations from business as well as technological perspectives.
Please visit our page on CLOUD COMPUTING SECURITY for more information.

I suggest that students undergoing advanced courses in Information Technology and Communications should develop new topics in these areas and
conduct researches for their forthcoming dissertation and thesis research projects. If all the current challenges are brought to the table, I can visualise more
than 100 topics on which the students and academic researchers can undertake research assignments. Some of these topics have already been undertaken
by students employing our support and mentoring services but more contribution is required from the academic world. Tools like OPNET MODELER and
OMNET++ can be employed to simulate various real life networking solutions to verify the behaviour and performance of these modern technologies in a
laboratory environment. I personally like OPNET MODELER because of its capability of simulating real world wireless products (like Cisco High end
switches and routers). OPNET MODELER academic edition is offered free of cost to students by Riverbed Inc. under their university program. The academic
version possesses all the features of OPNET MODELER except that it can simulate the maximum of 50 million events which is, however, more than
sufficient to simulate any network model created for academic research. ETCO India has in-house expertise and experience in carrying out Network
Modeling, Simulation and Analysis of results in OPNET MODELER academic edition
. After successfully completing the network modeling, running
multiple simulations and generating multiple reports on OPNET MODELER, the model files are transferred to the customers' computers and the trainings
are provided over Skype employing audio/video conferencing. Any technical errors in the OPNET models are corrected by taking remote control of
customers' machines over TeamViewer.

In addition to the suggestions above, please contact us at consulting@etcoindia.co or consulting@etcoindia.net to get more
topic suggestions and to discuss your topic. We will be happy to assist you in developing your narrow research topic with an
original contribution based on the research context, research problem, and the research aim, and objectives.
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