Jul 2026· International Conference on Future Internet of Things and Cloud· pp. 494-499· 0 citations· 14 references
Abstract
This paper conducts a comprehensive evaluation of general-purpose compute instances offered by leading cloud service providers, focusing on the interplay between processor architecture, cost, and performance metrics. Utilizing standardized configurations and benchmarking methodologies across Intel, AMD, and ARM architectures, this research delineates the tradeoffs inherent in cloud infrastructure selection. Results demonstrate ARM-based instances provide superior cost-efficiency for scale-out and cloud-native workloads, while Intel architectures maintain dominance in legacy-sensitive, performance-critical environments. Insights derived aim to empower computing professionals in optimizing cloud resource allocation, maximizing computational throughput per expense, and guiding strategic deployments within evolving distributed systems paradigms.
An eBPF-based scheduling framework is designed and implemented that complements existing kernel mechanisms to improve the accuracy of fine-grained CPU allocation while maintaining low overhead and demonstrates that the proposed approach significantly reduces resource overallocation and performance variability compared...
Chang-Yuan Lin, Mohammad Shahrad· Proceedings of the 4th Works...· 0 citations
The new EMC+ proposal is an OS‐driven elasticity manager for container‐based environments that continuously estimates idle core cycles left by regular (inelastic) applications, and reallocates idle cores to elastic ones, even during short time intervals, and has minimal impact on the performance and QoS of colocated in...
J. C. Saez, Carlos Bilbao, Manuel Prieto-Matías· Concurrency and Computation· 0 citations
This paper presents a novel hybrid segmented policy that reduces capacity requirements while keeping processing costs low and shows that dynamically adjusting the segment ratio in segmented policies based on historical workload patterns enhances efficiency.
Results show that selecting instances based on the second PI achieves at least 97% of the best achievable execution time in most cases, while highlighting cases where additional PIs improve selection accuracy.
J. R. Brunetta, J. F. Borin, E. Borin· Concurrency and Computation· 0 citations
AWS Graviton processors present cloud architects with a critical cost-performance decision for relational databases, yet independent validation for real-world Online Transaction Processing (OLTP) workloads on managed services like Amazon Aurora PostgreSQL remains limited. This study provides a tier-aware evaluation com...
Muhammad Ananta Faturrahman, Mega Pranata· International Conference on...· 0 citations
Enterprise applications increasingly depend on distributed caching to sustain sub-millisecond response times at scale. Amazon ElastiCache Redis, operating in cluster mode, provides horizontal partitioning across configurable shard topologies, enabling throughput and memory capacity to grow in proportion to demand. Whil...
Kandasamy Selvaraj· International journal of com...· 0 citations
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