Services Computing and Services Computing Systems

Services Computing has become a cross-discipline that covers the science and technology of bridging the gap between business services and IT services. The underlying technology suite includes Web services and service-oriented architecture (SOA), cloud computing, business consulting methodology and utilities, business process modeling, transformation and integration. This scope of Services Computing covers the whole life-cycle of service provision that includes business componentization, services modeling, services creation, services realization, services annotation, services deployment, services discovery, services composition, services delivery, service-to-service collaboration, services monitoring, services optimization, as well as services management. The goal of Services Computing is to enable IT services and computing technology to perform business services more efficiently and effectively

A service computing system is an IT service encapsulation system built on SOA by applying service computing technology. The system is based on the implementation, utilization, and development of service computing technology. service computing system is a service system enabled by service computing technology, meaning this system focuses on the enablement of the concept of service systems through the model, technology, architecture and optimization & analysis. In short, this is a system that uses computing technology to build service systems

The topic covers Services Computing; Services Computing Systems; Web Services; Microservices; Service-Oriented Architecture; Services Lifecycle; Business Process Management and Integration; Business Grid and Cloud Computing; Enterprise Modeling and Management; Service-Oriented Consulting Methodology; Services Delivery Platform and Methodology; Application Services and Standards; Security, Privacy, and Trust in Services; IT Services Management; Service Science, Management and Engineering; Service System for Enterprise; Cloud Computing.

Smart Services Systems and Engineering

Smart service systems are service systems in which smart products are boundary-objects that integrate resources and activities of the involved actors for mutual benefit. The systems provide smart service that is the application of specialized competences, through deeds, processes, and performances that are enabled by smart products. Smart Services Systems and Engineering covers smart services systems, engineering methodology, method, technique

Smart Service Systems Engineering investigates the characteristics, modelling, engineering and evaluation of data-driven services and business model innovations based on connected smart products in the Internet of Things. Smart Service Systems Engineering investigates solutions for systematically designing and developing smart service systems at the interface between technical and economic issues

The main aspects of this topic are conceptual modeling and systematic development of smart services, application of semantic web technologies and the evolvement of technical smart service platforms. Innovative business modeling is the key factor by means of this smart services.

The topic covers Big Data Analytics; Business Intelligence; Smart Campus; Smart City; Human-Machine Communication and Interface; Smart Government; Systems Engineering; Smart Service System; Artificial Intelligence; Decision Support System; Data science; Intelligent and Autonomous Systems; Case Study, Test Bed and Pilot Project

Digital Security, Forensic and Cyber Law

Digital Security refers to various ways of protecting computer's internet account and files from intrusion by an outside user. Digital Security is the protection of one’s digital personality, as it represents the physical identity on the network you are operating on or the internet service in use. Digital Security includes the tools which one uses to secure his/her identity, asset and technology in the online and mobile world

Digital forensics (sometimes known as digital forensic science) is a branch of forensic science encompassing the recovery and investigation of material found in digital devices, often in relation to computer crime. Digital Forensics is defined as the process of preservation, identification, extraction, and documentation of computer evidence which can be used by the court of law. It is a science of finding evidence from digital media like a computer, mobile phone, server, or network. It provides the forensic team with the best techniques and tools to solve complicated digital-related cases. Digital Forensics helps the forensic team to analyzes, inspect, identifies, and preserve the digital evidence residing on various types of electronic devices.

Cyberlaw is the area of law that deals with the Internet's relationship to technological and electronic elements, including computers, software, hardware and information systems (IS). Cyberlaws prevent or reduce large scale damage from cybercriminal activities by protecting information access, privacy, communications, intellectual property (IP) and freedom of speech related to the use of the Internet, websites, email, computers, cell phones, software and hardware, such as data storage devices

The topic covers Cyber Media; Cyber Society; Social Media; Cyber Criminal; Digital Forensics; Cyber Law; Information Security

Digital Transformation and Innovation

Digital transformation is the integration of digital technology into all areas of a business, fundamentally changing how you operate and deliver value to customers. Digital transformation is the process of using digital technologies to create new — or modify existing — business processes, culture, and customer experiences to meet changing business and market requirements. This reimagining of business in the digital age is digital transformation

Digital transformation is the cultural, organizational and operational change of an organization, industry or ecosystem through a smart integration of digital technologies, processes and competencies across all levels and functions in a staged way. Digital transformation leverages technologies to create value for various stakeholders (customers in the broadest possible sense), innovate and acquire the capabilities to rapidly adapt to changing circumstances

Digital innovation refers to the application of digital technology to existing business problems. Ideas such as digital transformation and digitization are closely related to the concept of digital innovation. Digital innovation initiatives can include: Developing a new technology strategy in an existing business context, Choosing to adopt and implement new software or platforms, and Deciding to evolve from analog to digital processes

The topic covers Business Information System; e-Business and e-Commerce; Internet Marketing; Information Technology Innovation; Computational Advertising; Digital Value; Digital Business Model; Digital Business Model Innovation; Entrepreneurship and Startup

IT Governance and Management

IT Governance (Information Technology Governance) is a process used to monitor and control key information technology capability decisions, to ensure the delivery of value to key stakeholders in an organization. The objective of IT Governance is to ensure the delivery of business results that would reinforce the notion of IT as an end in itself. To the contrary, IT Governance is about IT decisions that have an impact on business value. Thus, IT governance provides a structure for organizations to ensure that IT investments support business objectives

IT Management refers to a set of processes and activities that are carried out by an organization or part of an organization in order plan and deliver and operate and control IT resources that are offered to the internal customer of the organization. IT management is a set of activities that are carried out by an organization in order plan, deliver, operate and control IT resources that are offered to the internal customer of the organization

IT governance is primarily concerned with facilitating (strategic) decision making. IT management is more focused on the operational excellence of the IT function. The ultimate goal of both processes is to maximise organisational value creation by achieving better business-IT alignment. In this regard, IT governance and IT management are not mutually exclusive.

The topic covers IT Value; IT Risk; IT Governance; Enterprise Architechture; Business Process Engineering and Management; IT Strategic Planning; IT Performance Management; IT Audit; Data and Information Governance; Information Architecture; Data and Information Quality; Information Quality Measure and Measurement; Information Quality Management; Information Management Process Maturity Model; Data Warehouse and Data Mining

Internet of Things<

The Internet of things (IoT) is a system of interrelated computing devices, mechanical and digital machines and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction. A growing portion of IoT devices are created for consumer use, including connected vehicles, home automation, wearable technology, connected health, and appliances with remote monitoring capabilities. Thus, The IoT is a giant network of connected things and people – all of which collect and share data about the way they are used and about the environment around them.

In the broadest sense, the term IoT encompasses everything connected to the internet, but it is increasingly being used to define objects that "talk" to each other. "Simply, the Internet of Things is made up of devices – from simple sensors to smartphones and wearables – connected together. By combining these connected devices with automated systems, it is possible to "gather information, analyse it and create an action" to help someone with a particular task, or learn from a process

The topics covers Internet of Thing (IoT); Cognitive Networks; Routing and Congestion Control; Wireless and Mobile Networks; Wireless Sensor Networks; Multimedia Networks; Searching Technology and Machine Learning; Internet Communication QoS, QoE, Reliability and Modeling; Over The Top Service (OTT); Next Generation Networks; Future Internet; Content-Centric Networking; Information-Centric Networking; Service-Centric Networking; Physical-Cyber Systems; Smart Grid, Micro-Grid, and Smart Micro-Grid; Deep Packet Inspection.


The topic covers other area/subjects that are not grouped in the list

The topic covers Digital Media, Game and Learning Technologies; Digital Signal Processing; Probability, Stochastic Systems and Its Application; Everyday Robots; Speech and Natural Language Technology; Geographic Information System; Very Large Scale Integration; Green Computing; Edge Computing; Others