A paper published in the journal IEEE Transactions on Cloud Computing(*1) by Associate Professor SAXENA Deepika (*2) of Information Systems at the University of Aizu, received the IEEE TCC Best Paper Award 2022(*3) on December 15, 2023, from the Publications Committee of the IEEE Computer Society.
 The title of this paper is "OP-MLB: An Online VM Prediction-Based Multi-Objective Load Balancing Framework for Resource Management at Cloud Data Center" (*4).
<Abstract>
The elasticity of cloud resources allows cloud clients to expand and shrink their demand for resources dynamically over time. However, fluctuations in the resource demands and pre-defined size of virtual machines (VMs) lead to lack of resource utilization, load imbalance, and excessive power consumption. To address these issues and to improve the performance of data center, an efficient resource management framework is proposed, which anticipates resource utilization of the servers and balances the load accordingly. It facilitates power saving, by minimizing the number of active servers, VM migrations, and maximizing the resource utilization. An online resource prediction system is developed and deployed at each VM to minimize the risk of Service Level Agreement (SLA) violations and performance degradation due to under/overloaded servers.

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(*1) IEEE Transactions on Cloud Computing
(*2) SAXENA Deepika Associate Professor
(*3) 2022 Best Paper Award
(*4) Award-winning Papers