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Live migration, which allows virtual machines (VMs) to move across distinct physical hosts, is widely adopted for realizing energy saving and load balancing in modern Cloud data centers. However, putting VMs with high correlations on their CPU utilization patterns onto the same host is very likely to trigger overloading incidents and commit Service Level Agreements (SLA) violations, even when the...
Virtualization technology has been widely adoptedin Cloud data centers for adaptive resource provisioning. Withvirtualization, multiple virtual machines (VMs) can be colocatedon a single physical host to yield maximum efficiency. However, VMs which show high CPU utilization correlationsto other co-located peers are more likely to trigger overloadingincidents. This work provides an analysis on effects...
Existing path planning algorithms are capable of finding physically feasible, shortest, and energy-efficient paths for mobile robots navigating on uneven terrains. However, shortest paths on uneven terrains are often energy inefficient while energy-optimal paths usually take long time to be traversed. Therefore, due to time and energy constraints imposed on mobile robots, these shortest and energy-optimal...
With the rapid growing number of Cloud applications, demands for large-scale data centers have raised to historical high. Cloud data centers allow dynamic and flexible resource provisioning to accommodate time varying computational demands. Recent studies have proposed several allocation policies based mainly on power consumption of servers. Host temperature, however, is rarely considered as a monitoring...
A wireless sensor network comprises a number of inexpensive power constrained wireless sensor nodes which collect data from the sensing environment and transmit them toward the remote base station in a coordinated way. Employing techniques of clustering can reduce energy consumption of wireless sensor nodes and prolong the network lifetime. This paper proposes a decentralized clustering algorithm...
This paper studies the problem of energy consumption minimization in wireless sensor networks (WSNs) under uncertainty in sensor node generated traffic. It is important to consider traffic uncertainty because WSNs designed for surveillance and monitoring applications typically operate in event-driven and query-driven modes for which the node generated traffic changes from instant to instant. The problem...
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