Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Performance analysis gains more attention in recent years by researchers who focus their study on the early software development stages to mitigate the risk of redesign as problem...
This paper presents a discrete-event simulator for the General Packet Radio Service (GPRS) on the IP level. GPRS is a standard on packet data in GSM systems that will become commer...
This paper aims to provide a quantitative understanding of the performance of DSP and multimedia applications on very long instruction word (VLIW), single instruction multiple dat...
Deependra Talla, Lizy Kurian John, Viktor S. Lapin...
While there have been several proposals of high performance global computing systems, scheduling schemes for the systems have not been well investigated. The reason is difficultie...