Abstract: DCNs enable cloud services. With increased bandwidth and size, DCN energy consumption and cost rise sharply. Topology, addressing, and routing affect DCN energy consumption, complexity, and cost. This paper proposes a new addressing and…
Abstract: Computation offloading reduces smartphone energy consumption and improves performance. We propose and implement a lightweight offloading framework to offload compute-intensive tasks and simplify server deployment to address the heterogeneous architectures of the smartphone and…
Abstract: Due to an exponential rise in demand for eco-friendly environments, the global green city revolution has accelerated for years. Thus, major energy consumers must switch to renewable energy sources (RES). Cloud data centers (DCs)…
Abstract: This project proposes a many-to-many service mechanism for profit optimization between cloud providers and customers. We use game theory to solve this problem, but not like other cloud resource pricing game methods. First, we…
Abstract: Datacenter applications need low-latency data service. Proper data placement in modern distributed storage systems reduces data movement delay, which can greatly reduce service latency. Existing data placement solutions often assumed data request distribution or…
Abstract: Cloud computing environments are increasingly using container-based virtualization. Cloud vendors and users struggle to detect and analyze container anomalies. This paper proposes an online container anomaly detection system using the optimized isolation forest algorithm…
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