Optimizing bag-of-tasks scheduling on cloud data centers using hybrid swarm-intelligence meta-heuristic

A Chhabra, KC Huang, N Bacanin… - The Journal of …, 2022 - Springer
Usually, a large number of concurrent bag-of-tasks (BoTs) application execution requests
are submitted to cloud data centers (CDCs), which needs to be optimally scheduled on the …

SEECR: Secure energy efficient and cooperative routing protocol for underwater wireless sensor networks

K Saeed, W Khalil, S Ahmed, I Ahmad… - IEEE Access, 2020 - ieeexplore.ieee.org
Underwater wireless sensor networks (UWSNs) is an emerging technology for exploration of
underwater resources. Security plays an important role in the UWSNs environment because …

Workload time series prediction in storage systems: a deep learning based approach

L Ruan, Y Bai, S Li, S He, L Xiao - Cluster Computing, 2023 - Springer
Storage workload prediction is a critical step for fine-grained load balancing and job
scheduling in realtime and adaptive cluster systems. However, how to perform workload …

Multi-criteria HPC task scheduling on IaaS cloud infrastructures using meta-heuristics

A Chhabra, G Singh, KS Kahlon - Cluster Computing, 2021 - Springer
With the rapid increase in the use of cloud computing systems, an efficient task scheduling
policy, which deals with the assignment of tasks to resources, is required to obtain maximum …

Renewable-aware geographical load balancing using option pricing for energy cost minimization in data centers

MIK Khalil, SAA Shah, A Taj, M Shiraz, B Alamri… - Processes, 2022 - mdpi.com
It is becoming increasingly difficult to properly control the power consumption of widely
dispersed data centers. Energy consumption is high because of the need to run these data …

A Survey on Replica Transfer Optimization Schemes in Geographically Distributed Data Centers

B Fatemipour, Z Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Data centers have undergone significant expansions in recent years, as cloud service
providers seek to improve the quality of service and reduce operational costs. Cloud …

High-performance software load balancer for cloud-native architecture

JB Lee, TH Yoo, EH Lee, BH Hwang, SW Ahn… - IEEE …, 2021 - ieeexplore.ieee.org
Driven by increasing in the demand for cloud computing, cloud providers are constantly
seeking configuration mechanisms designed to simply install a reliable and easy-to-manage …

Energy cost minimization for sustainable cloud computing using option pricing

MIK Khalil, I Ahmad, SAA Shah, S Jan… - Sustainable Cities and …, 2020 - Elsevier
One of the key requirements of a sustainable city is the efficiency of the underlying
technologies implemented for the provision of services to its residents. Cloud Computing is …

Spatial and thermal aware methods for efficient workload management in distributed data centers

A Ali, Ö Özkasap - Future Generation Computer Systems, 2024 - Elsevier
Geographically distributed data centers provide facilities for users to fulfill the demand of
storage and computations, where most of the operational cost is due to electricity …

[PDF][PDF] Energy Cost Minimization Using String Matching Algorithm in Geo-Distributed Data Centers.

MI Khan Khalil, SA Ali Shah, IA Khan… - … , Materials & Continua, 2023 - researchgate.net
Data centers are being distributed worldwide by cloud service providers (CSPs) to save
energy costs through efficient workload allocation strategies. Many CSPs are challenged by …