Biblio

To make supply chains sustainable and smart, companies can use information and communication technologies to manage procurement, sourcing, conversion, logistics, and customer relationship management activities. Characterized by profit, people, and planet, the supply chain processes of creating values and managing risks are expected to be digitally transformed. Once digitized, datafied, and networked, supply chains can account for substantial progress towards sustainability. Given the lack of clarity on the concepts of resilience and human rights for the supply chain, especially with the recent advancement of social media, big data, artificial intelligence, and cloud computing, the study conducts a scoping review. To identify the size, scope, and themes, it collected 180 articles from the Web of Science bibliographic database. The bibliometric findings reveal the overall conceptual and intellectual structure, and the gaps for further research and development. The concept of resilience can be enriched, for instance, by the environmental, social, and governance (ESG) concerns. The enriched notion of resilience can also be expressed in digitized, datafied, and networked forms.

One of the adverse effects of shrinking transistor sizes is that processors have become increasingly prone to hardware faults. At the same time, the number of cores per die rises. Consequently, core failures can no longer be ruled out, and future operating systems for many-core machines will have to incorporate fault tolerance mechanisms. We present CSR, a strategy for recovery from unexpected permanent processor faults in commodity operating systems. Our approach overcomes surprise removal of faulty cores, and also tolerates cascading core failures. When a core fails in user mode, CSR terminates the process executing on that core and migrates the remaining processes in its run-queue to other cores. We further show how hardware transactional memory may be used to overcome failures in critical kernel code. Our solution is scalable, incurs low overhead, and is designed to integrate into modern operating systems. We have implemented it in the Linux kernel, using Haswell's Transactional Synchronization Extension, and tested it on a real system.