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This paper presents the design and evaluation of GreenDrive, a smartphone-based system that helps drivers save fuel by judiciously advising on driving speed to match the signal phase and timing (SPAT) of upcoming signalized traffic intersections. In the absence of such advice, the default driver behavior is usually to accelerate to (near) the maximum legally allowable speed, traffic conditions permitting...
Emerging distributed in-memory computing frameworks, such as Apache Spark, can process a huge amount of cached data within seconds. This remarkably high efficiency requires the system to well balance data across tasks and ensure data locality. However, it is challenging to satisfy these requirements for applications that operate on a collection of dynamically loaded and evicted datasets. The dynamics...
This paper develops new schedulability bounds for a simplified MapReduce workflow model. MapReduce is a distributed computing paradigm, deployed in industry for over a decade. Different from conventional multiprocessor platforms, MapReduce deployments usually span thousands of machines, and a MapReduce job may contain as many as tens of thousands of parallel segments. State-of-the-art MapReduce workflow...
We present the design, implementation, and evaluation of Centaur, an application-level user-assisted message dissemination solution for Online Social Networks (OSN). Characteristics of OSNs make their message dissemination distinct from scenarios like multicast streaming and P2P file sharing. First, updates issued by each user are sporadic and the “online” follower set is highly dynamic. Hence, it...
Total energy minimization in data centers (including both computing and cooling energy) requires modeling the interactions between computing decisions (such as load distribution) and heat transfer in the room, since load acts as heat sources whose distribution in space affects cooling energy. This paper presents the first closed-form analytic optimal solution for load distribution in a machine rack...
Foundation pit engineering is composed of some inter-related and relatively independent sub-engineering which makes it possible to introduce the distributed parallel optimal method into foundation pit engineering design. Based on the genetic algorithm with intrinsic parallelism, a distributed three-level co-evolution model and its corresponding algorithm, which can realize collaborative optimal design...
Foundation pit engineering is a complex system with multi-tier and multi-parameter. Since the scheme design and detail structure design belong to two different tiers of its optimum design, the foundation pit engineering's optimum design needs to combine these two tiers for co-optimization. Thus, this paper offered mathematical model for optimum design of foundation pit engineering's scheme, detail,...
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