Big Data and the Internet of Things

Advances in sensing and computing capabilities are making it possible to embed increasing computing power in small devices. This has enabled the sensing devices not just to passively capture data at very high resolution but also to take sophisticated actions in response. Combined with advances in communication, this is resulting in an ecosystem of highly interconnected devices referred to as the Internet of Things - IoT. In conjunction, the advances in machine learning have allowed building models on this ever increasing amounts of data. Consequently, devices all the way from heavy assets such as aircraft engines to wearables such as health monitors can all now not only generate massive amounts of data but can draw back on aggregate analytics to "improve" their performance over time. Big data analytics has been identified as a key enabler for the IoT. In this chapter, we discuss various avenues of the IoT where big data analytics either is already making a significant impact or is on the cusp of doing so. We also discuss social implications and areas of concern.Comment: 33 pages. draft of upcoming book chapter in Japkowicz and Stefanowski (eds.) Big Data Analysis: New algorithms for a new society, Springer Series on Studies in Big Data, to appea

Blockchain and 6G: The Future of Secure and Ubiquitous Communication

The future communication will be characterized by ubiquitous connectivity and security. These features will be essential requirements for the efficient functioning of the futuristic applications. In this paper, in order to highlight the impact of blockchain and 6G on the future communication systems, we categorize these application requirements into two broad groups. In the first category, called Requirement Group I \mbox{(RG-I)}, we include the performance-related needs on data rates, latency, reliability and massive connectivity, while in the second category, called Requirement Group II \mbox{(RG-II)}, we include the security-related needs on data integrity, non-repudiability, and auditability. With blockchain and 6G, the network decentralization and resource sharing would minimize resource under-utilization thereby facilitating RG-I targets. Furthermore, through appropriate selection of blockchain type and consensus algorithms, RG-II needs of 6G applications can also be readily addressed. Through this study, the combination of blockchain and 6G emerges as an elegant solution for secure and ubiquitous future communication

The Role of Web-Sphere for Managing Supply Chain Business Objects in Heterogeneous Systems

Abstract— The study discusses the problem of managing supply chain business objects in heterogeneous systems through the use of Business Process Management Systems (BPMS). The purpose of the research is to summarize the experience of domestic enterprises (operating in logistics and other businesses) when using cloud-based logistics systems; to identify general development trends in the domestic market and to develop recommendations for improving the efficiency of supply chain management based on cloud technologies. The research hypothesis is that the competitiveness of the logistics system grows along with its synergy. To test the hypothesis, a survey of 94 respondents working with such systems has been conducted. It has been found that IBM WebSphere is the most preferable system as it provides the maximum synergistic effect that is achieved by the targeted, coordinated, and mutual operation of two or more digital technologies to achieve a certain common goal. In particular, this stems from the fact that it is not enough to produce quality and essential goods or to provide a service; it is important to be able to convey the message to the consumer. The concept of competition has expanded beyond the boundaries of products (goods or services) and has moved into the sphere of competition among management structures