569 citations · 951 across the 22 of their papers we have counts for
15 papers · 1 filter
Multiple Linear Regression-Based Energy-Aware Resource Allocation in the Fog Computing Environment
Ranesh Kumar Naha, Saurabh Garg, Sudheer Kumar Battula +2
Fog computing is a promising computing paradigm for time-sensitive Internet of Things (IoT) applications. It helps to process data close to the users, in order to deliver faster pr…
Fuzzy Logic-based Robust Failure Handling Mechanism for Fog Computing
Ranesh Naha, Saurabh Garg, Sudheer Kumar Battula +2
Fog computing is an emerging computing paradigm which is mainly suitable for time-sensitive and real-time Internet of Things (IoT) applications. Academia and industries are focusin…
Adaptive Scheduling for Efficient Execution of Dynamic Stream Workflows
Mutaz Barika, Saurabh Garg, Rajiv Ranjan
Stream workflow application such as online anomaly detection or online traffic monitoring, integrates multiple streaming big data applications into data analysis pipeline. This app…
Scheduling Algorithms for Efficient Execution of Stream Workflow Applications in Multicloud Environments
Mutaz Barika, Saurabh Garg, Andrew Chan +1
Big data processing applications are becoming more and more complex. They are no more monolithic in nature but instead they are composed of decoupled analytical processes in the fo…
Multi-Criteria-based Dynamic User Behaviour Aware Resource Allocation in Fog Computing
Ranesh Kumar Naha, Saurabh Garg
Fog computing is a promising computing paradigm in which IoT data can be processed near the edge to support time-sensitive applications. However, the availability of the resources…
BigDataSDNSim: A Simulator for Analyzing Big Data Applications in Software-Defined Cloud Data Centers
Khaled Alwasel, Rodrigo N. Calheiros, Saurabh Garg +2
Emerging paradigms of big data and Software-Defined Networking (SDN) in cloud data centers have gained significant attention from industry and academia. The integration and coordin…