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Increase in the speed of processors has led to crucial role of communication in the performance of systems. As a result, routing is taken into consideration as one of the most important subjects of the network-on-chip (NOC) architecture. Routing algorithms to deadlock avoidance prevent packets route completely based on network traffic condition by means of restricting the route of packets. This action leads to less performance especially in non-uniform traffic patterns. On the other hand, true fully adaptive routing algorithm provides routing of packets completely based on traffic conditions. However, deadlock detection and recovery mechanisms are needed to handle deadlocks. Use of a global bus beside NOC as a parallel supportive environment provides a platform to offer advantages of both features of bus and NOC.

In this research, the authors use this bus as an escaping path for deadlock recovery technique.

According to simulation results, this bus is a suitable platform for a deadlock recovery technique.

This bus is useful for broadcast and multicast operations, sending delay sensitive signals, system management and other services.

This paper aims to provide the security and privacy for Byzantine clients from different types of attacks.

In this paper, the authors use Federated Learning Algorithm Based On Matrix Mapping For Data Privacy over Edge Computing.

By using Softmax layer probability distribution for model byzantine tolerance can be increased from 40% to 45% in the blocking-convergence attack, and the edge backdoor attack can be stopped.

By using Softmax layer probability distribution for model the results of the tests, the aggregation method can protect at least 30% of Byzantine clients.

The learning outcomes are as follows: to understand and examine the strategies that help platforms fight competition and manage networks; to analyse the role of platform governance in the management of the networks and partners’ trust; and to evaluate the strategic risks of disintermediation and multi-homing firms face while trying to sustain profits and capture value.

The case presents the dilemma faced by Deepinder Goyal, the young founder and CEO of Zomato in formulating the growth strategy for its food delivery platform, struggling to retain its market leadership position amid intensifying competition and other challenges during the COVID-19 pandemic. Zomato has become a public company with an IPO announced in mid of July 2021. Therefore, there is growing expectation for profitability among its shareholders and investors considering tailwinds of COVID-19 crisis, which have given the push towards adoption of food delivery among the customers. This has also resulted in increased competition in the industry. On other hand, there is growing dissatisfaction among its restaurant partners who have been hit hard by COVID-19 and struggling for survival. CEO Deepinder has to find how he will ensure the long-term growth for Zomato to tap the growing food delivery market in India and regain its restaurant partner’s trust.

The case is intended for post-graduate courses (MBA, PGDM) on digital business strategy or strategic management of technology-oriented businesses. The case can be used to understand the nature of competition and different strategies for platform-based businesses in the digital world. The case can also be used to study the role governance can play in efficient value creation and capture on the platform by the partner entities. Finally, the case also highlights how are platform businesses are coping with the Covid challenge. There are no specific prerequisites but knowledge on basic strategy concepts and platform business concepts will be good for better understanding. Level of difficulty is medium.

Teaching notes are available for educators only.

CSS 11: Strategy.