Haleh Khojasteh

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—To save energy, physical machines (servers) in cloud data centers are partitioned in different pools, depending on whether they are kept on at all times and/or whether they have virtual machines instantiated. Partitioning (pooling) of servers affects the power consumption of the data center but also the performance and responsiveness to user requests. In(More)
Spectrum decision – i.e., the selection of a channel for the next hop – is one of the most important factors that affect the performance of a channel-hopping cognitive network. In this paper, we compare the performance of a number of channel selection algorithms through the probability of collisions with primary user transmissions. The results indicate that(More)
In this paper, we propose a coexistence scheme that allows radio-frequency identification readers or sinks to collect data from radio-frequency identification tags or sensors that use IEEE 802.15.4 wireless personal area network standard and send it to the access point via an IEEE 802.11 wireless local area network. The proposed scheme uses time scheduling(More)
—In this paper, we analyze an efficient pool management model for cloud systems that partitions the servers (physical machines) into a hot and cold pool to improve energy efficiency. Servers are moved them from one pool to the other as needed to fulfill the incoming task requests, which are provisioned on virtual machines running on the servers. The model(More)