Browsing by Author "Esposito, Christian"
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- ItemApplication of soft computing and machine learning in the big data analytics for smart cities and factories(Elsevier, 2019) Esposito, Christian; Pop, Florin; Huang, Jun
- ItemAsymptotic Load Balancing Algorithm for Many Task Scheduling(Springer, 2019) Oncioiu, Anamaria-Raluca; Pop, Florin; Esposito, ChristianCloud computing can enable the unraveling of new scientific breakthroughs. We will eventually arrive to compute overwhelmingly large sizes of information, larger than we ever thought about it. Better scheduling algorithms are the key to process Big Data. This paper presents a load balancing scheduling algorithm for Many Task Computing using the computational resources from Cloud, in order to process a huge number of tasks with a finite number of resources. As such, the algorithm can be also used for Big Data, because it scales easily for big applications if we put a load balancing algorithm on top of virtual machines. We impose an upper bound of one for the maximum nodes that can carry an arbitrary job without executing it and we show that this statement holds by simulating the algorithm in MTS2 (Many Task Scheduling Simulator). We also show that the algorithm’s overlay performs even better when there are multiple nodes and we discuss about choosing the best local scheduling policy for the working nodes.
- ItemRouting in Post-Disaster Scenarios(Springer International Publishing, 2020) Esposito, Christian; Zhao, Zhongliang; Rizzo, Gianluca; Pop, Florin; Apostol, Elena; Leordeanu, Cătălin; Preda, ȘtefanCurrent networks should provide disaster-resilience by coping with the possible failures and misbehaviours caused by massive natural or man-made disasters. This is necessary to keep a suitable level of Quality of Service after a disaster and to support the possible evacuation, rescue, assessment, and rescue operations within the affected area. Multiple possible methods and solutions can be put in place in a proactive and/or reactive manner to offer the required resilience degree. Among them, a proper routing algorithm can contribute to circumventing network elements damaged by the disaster or applying for spatial/temporal redundancy to guarantee effective communications. This chapter aims at presenting the main routing solutions to offer disaster-resilience communications, along with some related methods.