Towards a computing continuum: Enabling edge-to-cloud integration for data-driven workflows

D Balouek-Thomert, EG Renart… - … Journal of High …, 2019 - journals.sagepub.com
Dramatic changes in the technology landscape marked by increasing scales and
pervasiveness of compute and data have resulted in the proliferation of edge applications …

Mean-field analysis for load balancing on spatial graphs

D Rutten, D Mukherjee - Abstract Proceedings of the 2023 ACM …, 2023 - dl.acm.org
A pivotal methodological tool behind the analysis of large-scale load balancing systems is
mean-field analysis. The high-level idea is to represent the system state by aggregate …

Lsru: A novel deep learning based hybrid method to predict the workload of virtual machines in cloud data center

MNH Shuvo, MMS Maswood… - 2020 IEEE Region 10 …, 2020 - ieeexplore.ieee.org
Task scheduling is a key innovation of cloud computing. However, forecasting resource
usage depends on the previous usage of resource. Thus, this type of problem is modeled as …

Aiming at QoS: A modified DE algorithm for task allocation in cloud computing

K Ma, A Bagula, O Ajayi… - ICC 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
The Cloud computing system is characterized by large scale servers being utilized by an
even larger number of users. It is a system where there is the need to frequently and …

Network optimization for differentiated qos traffic in an sdn environment for pop-data center traffic

MMS Maswood, R Abhishek… - 2018 IEEE 39th Sarnoff …, 2018 - ieeexplore.ieee.org
A major challenge for network providers is to design a network that can cater to differentiated
quality-of-service (QoS) for different traffic classes in a cost-effective manner. Traditional …

An adaptive allocation scheme for load balancing and sla maintenance in multi-location data center networks

MMS Maswood, D Medhi - NOMS 2018-2018 IEEE/IFIP …, 2018 - ieeexplore.ieee.org
Allocation of resources in data centers (DCs) needs to be done in a dynamic fashion for
cloud enterprise customers who require virtualized reservation-oriented services on …

Optimizing Bandwidth Cost, Energy Consumption, Delay, and Load in a Cooperative Fog Environment

M Manarat, MMS Maswood - 2023 6th International …, 2023 - ieeexplore.ieee.org
Fog computing is an emerging architecture that provides storage, processing power, and
networking capabilities for Internet-of-Things (IoT) devices. Devices using fog computing can …

A novel approach to reduce bandwidth cost and balance network and server level load in intra data center network

M Akter, MMS Maswood, SS Sonia… - 2020 IEEE 63rd …, 2020 - ieeexplore.ieee.org
These days, cloud computing is very popular because of its on demand utility like services.
To mitigate the huge demand generated by the consumers of different level from individual …

Dynamic Traffic Engineering for Cooperative Fog-Cloud Environment: Trade-Off Analysis of Cost and Utilization Under Different Load Conditions

MR Rahman, MMS Maswood - Available at SSRN 4656653 - papers.ssrn.com
Fog computing has become an attractive computing method for different IoT (Internet of
Things) applications that require low latency and location awareness. It provides low latency …

An edge-aware autonomic runtime for data streaming and in-transit processing

AR Zamani, D Balouek-Thomert, JJ Villalobos… - Future Generation …, 2020 - Elsevier
One of the major endeavors of modern cyberinfrastructure (CI) is to carry content produced
on remote data sources, such as sensors and scientific instruments, and to deliver it to end …