Green computing is that the environmentally accountable and Eco-friendly use of computers and their resources. In broader terms, it's conjointly outlined because the study of coming up with, manufacturing/engineering, victimization and getting rid of computing devices in an exceedingly method that reduces their environmental impact. Green computing is the environmentally responsible and Eco-friendly use of computers and their resources. In broader terms, it's conjointly outlined because the study of coming up with, engineering, producing, victimization and getting rid of computing devices in an exceedingly method that reduces their environmental impact. Many IT makers and vendors square measure unendingly investment in coming up with energy-efficient computing devices, reducing the employment of dangerous materials and inspiring the recycle ability of digital devices. Green computing practices came into prominence in 1992, once the Environmental Protection Agency (EPA) launched the Energy Star program.
- How green computing conserves power.
- Green use
- Green Disposal
- Green Design
- Green Manufacturing
- Power management
Selenium is a standout amongst the most prominent apparatuses utilized for robotizing web applications. It is an open source instrument utilized for the execution of test contents or experiments on web applications. Selenium underpins different programming dialects, for example, Java, C#, PHP, JavaScript, Ruby, and Python. It is language-free, which implies it was created utilizing Java, and can be utilized with C#, Java, PHP, JavaScript, and so on. Selenium is additionally stage free. The code or structure, created utilizing C#/Java, can be executed on various stages/working frameworks like Windows OS, Macintosh OS, and Linux.
- Selenium web-driver and Selenium Matrix
- Selenium IDE
- Selenium RC
- Selenium Web driver
A cloud services various types of services that are made available to users on demand via the Internet from a cloud computing server.Cloud services are designed to provide easy, scalable access to applications, resources and services, and are fully managed by a cloud services provider. Cloud-computing providers offer their "services" in three standard models. They are Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). These models offer increasing remoteness; they are thus often portrayed as layers in a stack infrastructure, platform and software as a service, but these need not be related.
- Big data architectures
- Protecting business processes on the cloud
- Infrastructure as a Service
- Platform as a Service and Cloud Foundry
- Software as a Service
- Storage as a Service
- Network as a Service
- Information as a Service
- Function as a Service
- Data Privacy
- Cloud Privacy
A cloud application, or cloud app, is a software program where cloud-based and local components work together. This model relies on remote servers for processing logic that is accessed through a web browser with a continual internet connection.
- Large Scale Cloud Application
- Innovative cloud applications and experiences
- Social, and mobile clouds
- Mobile services
Cloud infrastructure refers to the hardware and software components such as servers, storage, a network and virtualization software that are needed to support the computing requirements of a cloud computing model.
- Cloud computing architectures
- Storage and data architectures
- Distributed and cloud networking
- Infrastructure technologies
- Public, Private, and Hybrid Clouds
- Comparison between, and integration of, high performance computing and clouds
Cloud operations management is the process concerned with designing, overseeing, controlling, and subsequently redesigning cloud operational processes.This involves management of both hardware and software as well as network infrastructures to promote an efficient and lean cloud environment.
- Cloud composition, federation, bridging, and bursting
- Cloud migration
- Hybrid cloud integration
- Compliance Management in Cloud
- Green and energy management of cloud computing
- Cloud configuration and capacity management
- Cloud workload profiling and deployment control
- Self-service cloud portal, dashboard, and analytics
- Cloud metering and monitoring
- Service management automation
- Serverless computing
Cloud computing security or, more simply, cloud security refers to a broad set of policies, technologies, and controls deployed to protect data, applications, and the associated infrastructure of cloud computing. It is a sub-domain of computer security, network security, and, more broadly, information security.
- Security as a service
Blockchain may be a clear and verifiable system which is able to amendment the approach folks rely on exchanging price and assets, imposing contracts, and sharing knowledge. The technology may be a shared, secure ledger of transactions distributed among a network of computers, instead of resting with one supplier.
- Theory of Blockchain Privacy and Security
- Consensus algorithms
- Cross chain interoperability
- Ledger query capabilities
- Smart contract execution
- Novel applications
- Traceability and auditing
- Block chain network architectures
- Block chain network protocols
- Performance optimization and evaluation
- Block chain as a Service
- Block chain application as a service
- Block chain and IoT
Scalability is that the capability of a system, network, or method to handle a growing quantity of labour, or its potential to be enlarged to accommodate that growth. For instance, a system is taken into account ascendible if it's capable of skyrocketing its total output beneath associate degree increased load once resources square measure side. An associate degreealogous which means is inexplicit once the word is employed in an economic context, wherever a company's quantifiability implies that the underlying business model offers the potential for economic growth within the company.
- Performance of cloud systems and applications
- Cloud availability and reliability
Software as a service (SaaS) The NIST's definition of cloud computing defines computer code as a Service as: the aptitude provided to the buyer is to use the provider's applications running on a cloud infrastructure.Cloud suppliers manage the infrastructure and platforms that run the applications.
- Virtualization and composition
- Cloud provisioning orchestration
- Architecture support for cloud computing, including basics and fpgas
- Event-driven architectures
Cloud analytics is term for a collection of technological and analytical tools and techniques specifically designed to assist shoppers extract info from huge information. Cloud analytics is intended to form official applied math information promptly classified and out there via the users applications programme.
- Analytics applications
- Scientific Computing and Data Management
- Big data Management and Analytics
- Storage, Data, and Analytics Clouds
Cloud engineering is that the application of engineering disciplines to cloud computing. It brings a scientific approach to considerations of exploitation, standardization, and governance of cloud computing applications. In observe, it leverages the ways and tools of engineering in conceiving, developing, operational and maintaining cloud computing systems and solutions. It is concerning the method of coming up with the systems necessary to leverage the ability and political economy of cloud resources to resolve business issues.
- Cloud Solution Design Patterns
- Cloud Programming Models
- Cloud Development Tools
- Service Life Cycle Management
- Autonomic Business Process and Workflow Management in Clouds
- Cloud Modelling
- Research on Cloud Software
- User Experience Design
Cloud economic science may be a branch of data involved with the principles, prices and edges of cloud computing.
- Cloud Strategy for Enterprise Business Transformation
- Cloud Service Level Agreement (SLAs)
- Economic and Business Model of Clouds and Cloud Services
- ROI Analysis
- Cloud Quality Management
- Cloud Computing Consulting
- Cloud Cost and Pricing
The Internet of things (IOT) is the network which is connected with devices which are embedded with electronics, software, sensors, and network connectivity. Thus it enables these objects to connect and exchange necessary data. IOT can identify each device uniquely through its embedded computing system. To take it to next level, IOT is integrated to cloud computing to expand its operations even further more.
- IOT cloud architectures & models
- IOT-cloud integration
- Cloud-based dynamic composition of IOT
- Cloud-based context-aware IOT
- IOT delivery models
- Resource management in IOT cloud environments
Fog computing is next level of computing that uses one or more near-user edge devices to carry out a considerable amount of storage, communication control, configuration, measurement and management. It is a regionalize computing infrastructure in which data, compute, storage and applications are distributed in the most logical, efficient place between the data source and the cloud.
- Fog Computing Systems
- Fog Computing Architectures
- Fog Computing Fundamentals in the Internet-of-Things
- Advantage of Fog Computing for Healthcare IoT
- Self-Aware Fog Computing in Private and Secure Spheres
- The Present and Future of Privacy-Preserving Computation in Fog Computing
- Emerging technologies in Fog Computing
We are now in the generation of ground breaking Artificial Intelligence (AI) research and deployments. With its come new capabilities for Machine Learning (ML) and Deep Learning (DL), as organizations of all sizes work to create and use new insights from their existing operations while also seeking to develop new ways of making their systems and their organizations much smarter.
- Cognitive computing technologies and infrastructure
- Cognition-led data analytics
- Systems for brain - machine interface
- Big data infrastructure for cognition
- Distributed data centres for cognition
- Big data and cognition
- IOT streaming approaches for cognitive systems
Mobile cloud computing is next generation of cloud computing making it available for every mobile user. This helps to access large data which is available in cloud. So much of research is going on this mobile cloud regarding its efficiency, adoptability, ease of understanding and security for the data and over the cloud.
- Mobile and energy-efficient use of clouds
- Design of energy-saving mobile cloud protocols
- Mobile cloud architectures and models
- Mobile cloud networking
- Mobile and wearable computing systems and services
- Mobile Commerce, Handheld Commerce and e-markets on Cloud
Distributed and Parallel Computing has undergone spectacular changes over recent years. New architectures, advanced programming models, improved potency and novel application domains have speedily become the central focus of this discipline. Because of distributed and parallel computing with different speedily evolving technologies in several disciplines. It is of preponderant importance to review and assess these new developments in relation with the recent analysis achievements within the completely different areas of distributed and parallel computing, considering both the industrial and scientific point of view.
- Distributed and Parallel System Architectures.
- Distributed and Parallel Distributed Systems Algorithms
- Distributed and Parallel Software Technologies
- Distributed and Parallel Data Management and Analytics
High Performance Computing is referred as supercomputers that square measure the quickest and most powerful computers offered, and at this time the term refers to machines with many thousands of processors. They are the superstars of the high–performance computing. The following square measure the few topics, however aren't restricted to those topics solely.
- High performance languages and compilers for high performance computing
- High performance ubiquitous computing
- High performance computing innovative algorithms, synchronization-reducing algorithms and time-space trade-offs in algorithms
- High performance adaptive and evolvable computing
- High performance computing applications
- High performance computing storage, security and privacy
Big information analysis examines massive amounts of knowledge to uncover hidden patterns, correlations and alternative insights. It is driven by specialised analysis systems and software system .With today’s technology, it’s doable to research your information and find answers from it rapidly. It will purpose the thanks to varied business edges, together with new revenue opportunities, simpler selling, higher client service, improved operational potency and competitive blessings over rivals.
- Big data models and algorithms
- Big data protection, integrity and privacy
- Security applications of big data
- Big data search and mining
- Big data for enterprise, government and society
Companies area unit investment such a lot for his or her knowledge storage, maintenance, enlargement and security of the info. Every year quantity of information to be keep is increasing. Cloud computing is that the account those issues faced by the corporate. It helps in storing additional knowledge, with a lot of protection and is maintained by cloud computing suppliers. Hence, Cloud computing has additional applications within the field of business.
- Business transformation based on cloud services
- Legacy application in clouds
- Auditability and Security in cloud-based services
- Cloud quality assessment
- Multiple data stores in cloud applications
- Economic, business model of cloud
- Cloud service level agreement (sla)
- Cloud adoption factors
Cloud Computing is enjoying an important role in our day-after-day life. Not solely that however conjointly reshaping the method that corporations conduct business. Several corporations and organizations are within the method of shifting to the cloud computing to attain quantifiability, cost-efficiency and increased application performance. With associate degree redoubled usage of cloud computing, let’s take a glance at the future trends that ar taking form in future
- Mobile cloud with smart phones
- Cloudlets
- Hosted cloud services
- Digital transformation in cloud technologies
- Cloud-assisted Human-Centred applications
- Machine learning and artificial intelligence
- Cost management optimization
- Emerging technologies in cloud computing
- Green Data Centres and Cloud Networking
- Green Cloud Computing
- Quantum computing
- Robotics in Cloud