Abstract: Cloud computing platforms risk data leakage, so security and privacy are major concerns. Data can leak while in storage, processing, or moving within a cloud or between cloud infrastructures, such as private to public…
Abstract: Vehicle platoon, a new driving paradigm that organizes a group of vehicles nose-to-tail, could reduce traffic and improve travel comfort. User vehicles evaluate head vehicles in such a platoon system. Selecting a reliable head…
Abstract: Spark, Tez, and Piccolo use memory caches heavily. Data analytics clusters must efficiently manage caches due to their large performance impact and small sizes. However, most data analytics systems use LRU and LFU cache…
Abstract: ABE allows fine-grained access control over encrypted data in many cloud computing applications. Two main drawbacks limit ABE development. Most user revocation mechanisms cannot simultaneously be efficient, immediate, and robust. ABE decryption requires costly…
Abstract: New Data Mining and Machine Learning services in Cloud Computing providers are giving users extremely comprehensive data analysis tools with all the benefits of this environment. Cloud Computing services for data mining publish descriptions…
Abstract: Commercial cloud storage providers use data deduplication to manage data growth. Many secure data deduplication schemes have been developed and used to protect users’ sensitive data in outsourced storage. Many scholars studied secure and…
Abstract: SDN’s control plane and data plane allow data center traffic measurement. Traffic measurement TCAM resources are limited in SDN-enabled switches. Thus, traffic matrix (TM) estimation is needed to create a hybrid network monitoring scheme…
Abstract: Cloud computing lets users remotely process their applications using scalable CPU, memory, disk, and IO devices. Energy costs are significant in cloud computing. This article presents an energy-efficient scheduling algorithm for real-time user applications….
Abstract: Complex big data processing applications are growing. They are workflows of decoupled analytical processes now. Stream workflow applications integrate multiple streaming big data applications for decision-making. Each analytical component of these applications continuously processes…
Abstract: For timely business requests, business cloud workflows often have multiple time constraints. Runtime monitoring and verification of workflow temporal conformance state ensures on-time workflow completion. Due to low runtime efficiency, temporal logic or timed…
Abstract: SAR can map paddy rice crops in Southern Vietnam’s Mekong Delta due to rice’s strong temporal backscatter signature. Due to the complex land-use/land-cover in the Red River Delta, SAR rice mapping is difficult. Hydrological…
Abstract: Multi-UAV systems can monitor environmental and disaster conditions, patrol borders, and rescue people. Edge computing scenarios will favor multi-UAV applications. Multi-UAV systems must be energy efficient due to UAVs’ limited energy supplies and growing…
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