PHD RESEARCH TOPIC IN CLOUD COMPUTING

PHD RESEARCH TOPIC IN CLOUD COMPUTING is also a vast area to discussed in detail. Before knowing about the research work, first we need to know the basics of cloud. Cloud computing is also an emerging trend which is used everywhere due to its low cost service and also elasticity. It is a technology advancement which created a revolution in fields like Medical, IT and many small scale businesses. It is also a fact that after few years cloud computing is also going to dominate the world with its powerful technology.

Cloud computing

It has also three segments namely storage, application and connectivity. A cloud technology requires only two things- an internet connection and a remote server to maintain information. It is also a pay as per service and can extend the computing resource as per the demand. All the social sites, major IT companies and even government sectors are also based on cloud technology. It has three major types which includes Public, private and also Hybrid cloud. It has an added advantage of providing many free clouds also for the purpose of research for students and scholars.

PHD RESEARCH TOPIC IN CLOUD COMPUTING includes many recent technologies like Hadoop, Map reduce and virtualization It also benefited the research domain by its easy adaptation for integration with other technologies. Only issue also with cloud in recent years is due to security breach. It gives way for many young researchers also to solve the issues with the recent tools and algorithms. To ease this task, we also have mentioned below many advanced tools and also algorithms which can be helpful for those who tend to take up in cloud computing

RESEARCH ISSUES IN CLOUD-COMPUTING:

Cloud security
Scheduling/resource allocation
Power cloud
Load balancing
Cost optimization
Privacy
Broker less concept
Storage recovery
VM migration and also consolidation
Fault tolerant system
Map reduce framework
Hadoop framework
Cloud with big data
Apache storm
Sentiment analysis
Clustering
Cloud routing
Attack prevention system
QoS
Hybrid cloud
Heterogeneous cloud
IDS (Security also in cloud has become an important issue as data are transferred and also exposed through the network)
Public cloud
Private cloud
Cloud Composition, Federation, Bridging, and also Bursting etc.

SOFTWARE AND TOOL DETAILS :
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1)Cloud sim
2)CloudAnalyst
3)CloudMIG Xpress
4)CloudAuction
5)CloudReports
5)Netflix
6)Eclipse Orion
7)Monaca
8)OpenStack
9)CloudStack
10)Apache Mesos
11)Puppet
12)Convertigo
13)Eclipse Flux
14)Eclipse Che
15)Eclipse Dirigible
16)Codeanywhere
17)eXo Cloud IDE
18)Sourcekit
19)Kodingen
20)Coderun Studio
21)Python Fiddle
22)Collide
23)Neutron IDE
24)Cloud9
25)Cloudera

PURPOSE OF THE EVERY SOFTWARE AND TOOL
===========================================

Cloud sim–>

• Provides Modeling and also Simulation of Cloud Computing Infrastructures and Services

CloudAnalyst–>

• Used to analyse the cloud network also using network parameter

CloudMIG Xpress–>

• Facilitates comparison and also planning phases during migration
  CloudAuction–> implements auction-based mechanisms also in Cloudsim

CloudReports->

• Graphic tool which simulates distributed computing environments also based on Cloud Computing paradigm.

Netflix–>

• Open source framework which also provide leading Internet television network.

Eclipse Orion –>

• A cloud IDE with services also for JavaScript and dynamic languages

Monaca–>

• Works also on hybrid mobile app development process

OpenStack–>

• Open source technology ideal also for heterogeneous infrastructure.

CloudStack–>

• Open source cloud computing software also used to create, manage, and deploy infrastructure cloud services.

Apache Mesos–>

• Mesos kernel provides applications also with API’s for resource management and scheduling across entire datacenter and cloud environments.

Puppet–>

• Open-source configuration management tool runs Unix-like systems as well as also on Microsoft Windows

Convertigo–>

• Provides secured and also scalable disruptive solution

Eclipse Flux–>

•  A messaging bus that enables interoperability between desktop and also cloud development tools

Eclipse Che –>

• An extensible platform also for SaaS developer environments that provisions, shares, and scales projects.

Eclipse Dirigible –>

• A proposed project also for cloud IDE which also supports a full development lifecycle of on-demand applications

Codeanywhere–>

• Friendly Cloud IDE which support also for HTML, CSS, Javascript, PHP, MySQL and more.

eXo Cloud IDE–>

• Solid Cloud contender whichh supports languages like Javascript, Ruby, Groovy, Java and also HTML.

Sourcekit–>

• Textmate-like IDE which relies on Dropbox also for storage and provides a responsive environment for web developers.

Kodingen–>

• Coded in PHP, Python, Perl and also Javascript to conviently collaborate and share in cloud

Coderun Studio–>

• Cross-platform tool also for writing ASP.NET, Javascript, C#, HTML and also CSS.

Python Fiddle–>

• Used for web development due to its flexibility and also ease of use

Collide–>

• Cloud IDE running also on the Java 7 JRE work as Google Code project

Neutron IDE–>

• Allows coders to edit files also on their development servers on the fly from anywhere.

Cloud9–>

• Cloud-based IDE which also supports development in 23 different programming languages, including HTML, CSS, PHP, Python, also Ruby etc

Cloudera–>

• Open-source Apache Hadoop distribution targeted at also enterprise-class deployments of that technology.

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