Call for Abstract

9th International conference on Data Analysis and Cloud Computing, will be organized around the theme “The Next Evolution of Cloud Computing”

Cloud Computing 2019 is comprised of keynote and speakers sessions on latest cutting edge research designed to offer comprehensive global discussions that address current issues in Cloud Computing 2019

Submit your abstract to any of the mentioned tracks.

Register now for the conference by choosing an appropriate package suitable to you.

Cloud computing is a new technology that enables ubiquitous access to shared data of configurable system resources and higher-level services that can be rapidly provisioned with minimal management effort, often over the Internet. It relies on sharing of resources to achieve coherence and economy of scale, similar to a utility. It is built around a series of hardware and software that can be remotely accessed through any web browser. Usually files and software are shared and worked on by multiple users and all data is remotely centralized instead of being stored on users’ hard drives.

  • Track 1-1Core cloud services
  • Track 1-2Cloud technologies
  • Track 1-3On-demand computing models
  • Track 1-4Client-cloud computing challenges
  • Track 1-5High Performance Computing Systems for Medical Applications

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.

  • Track 2-1IoT Cloud Architectures & Models
  • Track 2-2IoT-Cloud Integration
  • Track 2-3Cloud-based dynamic composition of IoT
  • Track 2-4Cloud-based context-aware IoT
  • Track 2-5IoT Delivery Models
  • Track 2-6Resource 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. It refers to extending cloud computing to the edge of an enterprise's network. Also known as Edge Computing or fogging, fog computing facilitates the operation of compute, storage, and networking services between end devices and cloud computing data centers.

  • Track 3-1Fog Computing Systems
  • Track 3-2Fog Computing Architectures
  • Track 3-3Fog Computing Fundamentals in the Internet-of-Things
  • Track 3-4Advantage of Fog Computing for Healthcare IoT
  • Track 3-5Self-Aware Fog Computing in Private and Secure Spheres
  • Track 3-6The Present and Future of Privacy-Preserving Computation in Fog Computing
  • Track 3-7Emerging technologies in Fog Computing

We are now in the generation of groundbreaking 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.

  • Track 4-1Cognitive Computing Technologies and Infrastructure
  • Track 4-2Cognition-led data analytics
  • Track 4-3Systems for Brain - Machine Interface
  • Track 4-4Big Data Infrastructure for Cognition
  • Track 4-5Distributed Data Centers for Cognition
  • Track 4-6Big Data and Cognition
  • Track 4-7IoT Streaming approaches for Cognitive Systems
  • Track 4-8Deep Learning for Cognition

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.  

  • Track 5-1Mobile and Energy-efficient use of Clouds
  • Track 5-2Design of energy-saving mobile cloud protocols
  • Track 5-3Mobile Cloud Architectures and Models
  • Track 5-4Mobile Cloud Networking
  • Track 5-5Mobile and Wearable Computing Systems and Services
  • Track 5-6Mobile Commerce, Handheld Commerce and e-markets on Cloud

Distributed and Parallel Computing has undergone impressive changes over recent years. New architectures, advanced programming models, improved efficiency and novel application domains have rapidly become the central focus of this discipline. Because of distributed and parallel computing with other rapidly evolving technologies in different disciplines. It is of paramount importance to review and assess these new developments in relation with the recent research achievements in the different areas of distributed and parallel computing, considering both the industrial and scientific point of view.

  • Track 6-1Distributed and Parallel System Architectures
  • Track 6-2Distributed and Parallel Distributed Systems Algorithms
  • Track 6-3Distributed and Parallel Software Technologies
  • Track 6-4Distributed and Parallel Data Management and Analytics

High Performance Computing is referred as supercomputers which are the fastest and most powerful computers available, and at present the term refers to machines with hundreds of thousands of processors. They are the superstars of the high–performance computing. The following are the few topics, but are not limited to those topics only.

  • Track 7-1High performance Languages and Compilers for High Performance Computing
  • Track 7-2High Performance Ubiquitous Computing
  • Track 7-3High performance Computing Innovative algorithms, Synchronization-reducing algorithms and Time-space trade-offs in algorithms
  • Track 7-4High performance Adaptive and Evolvable Computing
  • Track 7-5High Performance Computing Applications
  • Track 7-6High Performance Computing Storage, Security and Privacy

Data Analytics has become much easier after getting integrated with cloud computing. It also helped in making business more effective and the combination of both cloud computing and data analytics has helped the businesses to store, interpret, and process their big data to better meet their clients' needs. Thus Cloud computing has become very important part in Data Analytics.

  • Track 8-1Analytics Applications
  • Track 8-2Scientific Computing and Data Management
  • Track 8-3Big data management and analytics
  • Track 8-4Storage, Data, and Analytics Clouds
  • Track 8-5Large Scale Application of Data Analytics in Cloud

Big data analysis examines large amounts of data to uncover hidden patterns, correlations and other insights. It is driven by specialized analysis systems and software .With today’s technology, it’s possible to analyze your data and get answers from it almost immediately. It can point the way to various business benefits, including new revenue opportunities, more effective marketing, better customer service, improved operational efficiency and competitive advantages over rivals.

  • Track 9-1Big Data Models and Algorithms
  • Track 9-2Big Data Architectures
  • Track 9-3Big Data Protection, Integrity and Privacy
  • Track 9-4Security Applications of Big Data
  • Track 9-5Big Data Search and Mining
  • Track 9-6Big Data for Enterprise, Government and Society

Companies are investing so much for their data storage, maintenance, expansion and security of the data. Every year amount of data to be stored is increasing. Cloud computing is the answer for those problems faced by the company. It helps in storing more data, with much protection and is maintained by cloud computing providers. Hence, Cloud computing has more applications in the field of business.

  • Track 10-1Business transformation based on cloud services
  • Track 10-2Legacy application in clouds
  • Track 10-3Auditability and Security in Cloud-based services
  • Track 10-4Cloud quality assessment
  • Track 10-5Multiple Data stores in Cloud Applications
  • Track 10-6Cloud Cost and Pricing
  • Track 10-7Cloud Quality Management
  • Track 10-8ROI Analysis
  • Track 10-9Economic, Business Model of Cloud
  • Track 10-10Cloud Service Level Agreement (SLA)
  • Track 10-11Cloud Adoption Factors
  • Track 10-12Cloud Strategy for Enterprise Business Transformation
  • Track 10-13Protecting Business processes on the cloud

A cloud services various types of services that are made available to users on demand via the Internet from a cloud computing servers. 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.

  • Track 11-1Software as a service (SaaS)
  • Track 11-2Storage as a service
  • Track 11-3Network as a service
  • Track 11-4Information as a service
  • Track 11-5Infrastructure as a service (IaaS)
  • Track 11-6Platform as a service (PaaS) and Cloud Foudry

Cloud infrastructure contains of different elements such as networks systems, servers, storage, and virtualization. These are essential to maintain the efficiency of cloud computing. It also includes various layers that virtualizes resources and presents them to the users through API-enabled graphical interfaces.

  • Track 12-1Cloud Computing Architectures
  • Track 12-2Service Life Cycle Management
  • Track 12-3Cloud Development Tools
  • Track 12-4Cloud Programming Models
  • Track 12-5Cloud Solution Design Patterns
  • Track 12-6Public, Private, and Hybrid Clouds
  • Track 12-7Infrastructure Technologies
  • Track 12-8Cloud Networking
  • Track 12-9Distributed Networking
  • Track 12-10Data Architectures and Storage Architectures
  • Track 12-11Cloud Modeling

Cloud operations and management are the processes that are concerned with designing, overseeing, controlling, and subsequently redesigning cloud operational processes. They aims to ensure that it is working efficiently in terms of using resources as required as well as meeting quality of service requirements, compliance requirements and especially customer satisfaction. This involves in the management of both hardware and software as well as network infrastructures to maintain an efficient cloud environment.

  • Track 13-1Cloud Composition, Federation, Bridging, and Bursting
  • Track 13-2Cloud Metering and Monitoring
  • Track 13-3Self-service Cloud Portal, Dashboard, and Analytics
  • Track 13-4Cloud Workload Profiling and Deployment Control
  • Track 13-5Cloud Configuration and Capacity Management
  • Track 13-6Green and Energy Management of Cloud Computing
  • Track 13-7Compliance Management in Cloud
  • Track 13-8Hybrid Cloud Integration
  • Track 13-9Cloud Migration
  • Track 13-10Service Management Automation

Cloud Computing is playing a vital role in our day-to-day life. Not only that but also reshaping the way that companies conduct business. Several companies and organizations are in the process of shifting to the cloud computing to achieve scalability, cost-efficiency and enhanced application performance. With an increased usage of cloud computing, let’s take a look at the upcoming trends that are taking shape in future.

  • Track 14-1Mobile cloud with smart phones
  • Track 14-2Cloudlets
  • Track 14-3Hosted Cloud services
  • Track 14-4Digital Transformation in Cloud technologies
  • Track 14-5Cloud-assisted Human-Centered applications
  • Track 14-6Machine Learning and Artificial Intelligence
  • Track 14-7Cost Management Optimization
  • Track 14-8Emerging Technologies in Cloud Computing
  • Track 14-9Green Data Centers and Cloud Networking
  • Track 14-10Green Cloud Computing
  • Track 14-11Quantum computing
  • Track 14-12Robotics in Cloud
  • Track 14-13Innovative Cloud Applications and Experiences

As new innovations are coming in the field of computing, new challenges are also increasing. The technologies should be ready to solve those challenges. The following are some of the future Computing challenges

  • Track 15-1Optimal data-dependent computation
  • Track 15-2Deniable Encryption
  • Track 15-3Bounding Programming relaxations
  • Track 15-4Adaptive Data Analysis Computation
  • Track 15-5Polynomial-time approximation and complexity
  • Track 15-6Randomized compositions
  • Track 15-7Approximation and Optimization schemes
  • Track 15-8Optimal Error rates
  • Track 15-9Convergence of Fast Computations
  • Track 15-10Delegating Computations
  • Track 15-11Energy-Efficient Data centers and Networks

Cloud Computing security indicates 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 information security. Cloud computing security is a fast-growing service that provides many of the same functionalities as traditional IT security. This includes protecting critical information from theft, data leakage and deletion.

  • Track 16-1Cloud Security
  • Track 16-2Data Privacy
  • Track 16-3Cloud Privacy
  • Track 16-4Security as a service

The issues and challenges of cloud computing’s performance, scalability, and reliability (PSR). Beginning with virtualization technology, a key element of cloud infrastructure, it examines issues facing in cloud PSR fields. Then, it addresses the challenges and problems in cloud computing PSR. It also examines intrusion detection methods and outlines counter measures to improve cloud PSR.

  • Track 17-1Performance of cloud systems and applications
  • Track 17-2Cloud Availability and Reliability
  • Track 17-3Microservices based architecture
  • Track 17-4Virtualization and Composition
  • Track 17-5Cloud Provisioning Orchestration
  • Track 17-6Architecture support for Cloud Computing