Elastic Business Process Management: State of the Art and Open Challenges for BPM in the Cloud

With the advent of cloud computing, organizations are nowadays able to react rapidly to changing demands for computational resources. Not only individual applications can be hosted on virtual cloud infrastructures, but also complete business processes. This allows the realization of so-called elastic processes, i.e., processes which are carried out using elastic cloud resources. Despite the manifold benefits of elastic processes, there is still a lack of solutions supporting them. In this paper, we identify the state of the art of elastic Business Process Management with a focus on infrastructural challenges. We conceptualize an architecture for an elastic Business Process Management System and discuss existing work on scheduling, resource allocation, monitoring, decentralized coordination, and state management for elastic processes. Furthermore, we present two representative elastic Business Process Management Systems which are intended to counter these challenges. Based on our findings, we identify open issues and outline possible research directions for the realization of elastic processes and elastic Business Process Management.Comment: Please cite as: S. Schulte, C. Janiesch, S. Venugopal, I. Weber, and P. Hoenisch (2015). Elastic Business Process Management: State of the Art and Open Challenges for BPM in the Cloud. Future Generation Computer Systems, Volume NN, Number N, NN-NN., http://dx.doi.org/10.1016/j.future.2014.09.00

Open, distributed and user-centered: Towards a paradigm shift in innovation policy

Today's innovation policies ignore that innovation is increasingly open, distributed and user-centered. In this paper we introduce the user-centered model as an alternative paradigm of how innovation 'works'. We discuss how it differs from traditional, linear producer-centered model, argue why it is legitimate to develop policies in support of it, and provide specific directions. �

Architecture Design Options for Federated Data Spaces

The massive growth of data and the increasing potential of data analytics in industrial production fuel the emergence of data spaces and corresponding platforms that realize data ecosystems and enable data-driven sustainability applications. To leverage their benefits of demand-driven and scalable data integration, the stakeholders of emerging data space initiatives must make informed decisions about their data space support platforms (DSSPs). This study proposes a conceptual framework based on federated architectures and by considering existing endeavors of data infrastructures. Based on existing literature about data ecosystem resources and an explorative single case study of an industrial data space with sustainability-focused applications, we elaborate on the key design options of data, services, and computing infrastructures. The resulting conceptual framework guides design decisions for DSSPs. The framework captures not only the resources involved but also the operational concepts of federated services and shared services to introduce governance mechanisms and sustainability policies

Ecosystem synergies, change and orchestration

This thesis investigates ecosystem synergies, change, and orchestration. The research topics are motivated by my curiosity, a fragmented research landscape, theoretical gaps, and new phenomena that challenge extant theories. To address these motivators, I conduct literature reviews to organise existing studies and identify their limited assumptions in light of new phenomena. Empirically, I adopt a case study method with abductive reasoning for a longitudinal analysis of the Alibaba ecosystem from 1999 to 2020. My findings provide an integrated and updated conceptualisation of ecosystem synergies that comprises three distinctive but interrelated components: 1) stack and integrate generic resources for efficiency and optimisation, 2) empower generative changes for variety and evolvability, and 3) govern tensions for sustainable growth. Theoretically grounded and empirically refined, this new conceptualisation helps us better understand the unique synergies of ecosystems that differ from those of alternative collective organisations and explain the forces that drive voluntary participation for value co-creation. Regarding ecosystem change, I find a duality relationship between intentionality and emergence and develop a phasic model of ecosystem sustainable growth with internal and external drivers. This new understanding challenges and extends prior discussions on their dominant dualism view, focus on partial drivers, and taken-for-granted lifecycle model. I propose that ecosystem orchestration involves systematic coordination of technological, adoption, internal, and institutional activities and is driven by long-term visions and adjusted by re-visioning. My analysis reveals internal orchestration's important role (re-envisioning, piloting, and organisation architectural reconfiguring), the synergy and system principles in designing adoption activities, and the expanding arena of institutional activities. Finally, building on the above findings, I reconceptualise ecosystems and ecosystem sustainable growth to highlight multi-stakeholder value creation, inclusivity, long-term orientation and interpretative approach. The thesis ends with discussing the implications for practice, policy, and future research.Open Acces

Issues in Infrastructure Development Today: The Interlinkages

Brings out the issues in infrastructure development in India linking market failure, policy, regulation, and privatisation in India c. 2000. Is the lead article in the India Infrastructure Repor

Law and the political economy of AI production

The governance of artificial intelligence (AI) is at a historical juncture. Legislative acts, global treaties, export controls, and technical standards are now dominating the discourse over what used to be a predominantly market-driven space. Amidst all this frenzy, this paper explains why none of these projects will achieve ‘alignment’ of AI with the prospect of a sustainable model of production authentically committed to the rights and freedoms of people and communities. By reflecting on the role of law in consolidating the visions and logics of few multinationals in the global value chains of AI, it warns against the peril of regulating AI without looking at the methods and logistics of its material production. Following a detailed overview of the various (techno-)legal ways through which law enables the flow of materials, capital, and power from Global South to Global North, and from small players to lead firms, the paper concludes with some preliminary thoughts on a transformative agenda for the transnational regulation of infocomputational production

Cyber-Physical Systems and Smart Cities in India: Opportunities, Issues, and Challenges

A large section of the population around the globe is migrating towards urban settlements. Nations are working toward smart city projects to provide a better wellbeing for the inhabitants. Cyber-physical systems are at the core of the smart city setups. They are used in almost every system component within a smart city ecosystem. This paper attempts to discuss the key components and issues involved in transforming conventional cities into smart cities with a special focus on cyber-physical systems in the Indian context. The paper primarily focuses on the infrastructural facilities and technical knowhow to smartly convert classical cities that were built haphazardly due to overpopulation and ill planning into smart cities. It further discusses cyber-physical systems as a core component of smart city setups, highlighting the related security issues. The opportunities for businesses, governments, inhabitants, and other stakeholders in a smart city ecosystem in the Indian context are also discussed. Finally, it highlights the issues and challenges concerning technical, financial, and other social and infrastructural bottlenecks in the way of realizing smart city concepts along with future research directions

Interdisciplinary process driven performative morphologies: A morphogenomic approach towards developing context aware spatial formations

Architectural praxis is in continuous state of change. The introduction of information technology driven design techniques, constantly updating building information modeling protocols, new policy demands coupled together with environmental regulations and cultural fluctuations are all open-ended dynamic phenomena within which contemporary architectural constructs have to efficiently perform. This dynamic meta-context brings about with it a vital thrust on developing digitally driven adaptive design processes and techniques for the production of performative architectural morphologies. Conceiving the built form (at variable scales) as an ambitious exercise in digitally driven bottom-up associative, context driven formations of inter-dependent, ubiquitously communicating spatial components rather than focusing on the development of a top-down form centered approach thus attains a vital interdisciplinary process driven research and design position in the contemporary. This research article exemplifies upon one such novel information integrated, contextual data driven generative design process: Morphogenomics, being experimented with at Hyperbody, TU Delft, under the author’s guidance. Morphogenomics deals with the intricacies of morphological informatics, specifically outlining the relationship between contextual information and its associative linkage with the generation of performative morphology. The research article puts forth a logical underpinning of spatially distributed ubiquitous communication and parametric computational frameworks by means of two research cases: a. The development of Performative Skin systems (at a component scale) b. The development of a distributed network city along the A2 highway, Netherlands (at an architectural and urban scale).Building TechnologyArchitectur