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Titlebook: Resource Management in Distributed Systems; Anwesha Mukherjee,Debashis De,Rajkumar Buyya Book 2024 The Editor(s) (if applicable) and The A

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樓主: lutein
41#
發(fā)表于 2025-3-28 18:21:36 | 只看該作者
Load Balancing Using Swarm Intelligence in Cloud Environment,itical technique in this realm, plays a vital role in ensuring the optimal utilization of resources while maintaining system stability and performance. Traditional load balancing approaches often face challenges in dynamically changing environments due to the complexities of modern cloud systems. To
42#
發(fā)表于 2025-3-28 19:40:56 | 只看該作者
Interoperability and Portability in Big Data Analysis Based Cloud-Fog-Edge-Dew Computing,, especially in the field of big data analytics. The effective interaction between diverse clouds working together—referred to as interoperability—holds immense importance in handling and analyzing vast datasets. Similarly, the ease of relocating data or applications across various cloud environment
43#
發(fā)表于 2025-3-29 00:17:06 | 只看該作者
44#
發(fā)表于 2025-3-29 04:23:35 | 只看該作者
,eBPF and?XDP Technologies as?Enablers for?Ultra-Fast and?Programmable Next-Gen Network Infrastructued Networking (SDN) and Network Function Virtualization (NFV) techniques have laid the foundations of future communication architectures by providing flexibility and robustness against operational changes, the reduction of the networking tasks’ latency still remains as a challenge. This is specially
45#
發(fā)表于 2025-3-29 08:07:20 | 只看該作者
Deep Reinforcement Learning (DRL)-Based Methods for Serverless Stream Processing Engines: A Vision,ata that need to be processed and analysed in real time. Modern businesses are aggressively using streaming data to generate valuable knowledge that can be used to automate processes, help decision-making, optimize resource usage, and ultimately generate revenue for the organization. Despite their i
46#
發(fā)表于 2025-3-29 11:41:52 | 只看該作者
47#
發(fā)表于 2025-3-29 17:38:30 | 只看該作者
Anwesha Mukherjee,Debashis De,Rajkumar BuyyaPresents comprehensive review of resource management.Discusses limitations and solutions for a sustainable distributed system.Serves as a reference resource for researchers and practitioners in academ
48#
發(fā)表于 2025-3-29 23:14:40 | 只看該作者
49#
發(fā)表于 2025-3-30 00:19:57 | 只看該作者
50#
發(fā)表于 2025-3-30 04:33:42 | 只看該作者
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