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While tapping onto the mobile device capabilities for execution of resource intensive tasks, it has been proven by many studies that the local device resources are unable to completely perform the task execution. Therefore, it becomes imperative that the intra-device resources are put to productive use by offloading the jobs to a remote location for execution. However, in those settings where the...
Graph analytics has become essential to uncover relationship insights in complex systems. As graphs grow in scale, several graph-parallel frameworks including Pregel, GraphLab, and PowerGraph are developed based on commodity computers and/or Cloud instances. According to recent research and empirical performance evaluation, system optimization on PowerGraph allow it to outperform others significantly...
We present and analyze a hybrid computational architecture for performing multi-agent optimization. The optimization problems under consideration have convex objective and constraint functions with mild smoothness conditions imposed on them. For such problems, we provide a primal-dual algorithm implemented in the hybrid architecture, which consists of a decentralized network of agents into which an...
The well-known gap between relative CPU speeds and storage bandwidth results in the need for new strategies for managing I/O demands. In large-scale MPI applications, collective I/O has long been an effective way to achieve higher I/O rates, but it poses two constraints. First, although overlapping collective I/O and computation represents the next logical step toward a faster time to solution, MPI's...
With the proliferation of cloud based services - IaaS, PaaS, and SaaS - enterprises are increasingly consuming all type of IT services delivered by cloud providers. These cloud services are increasingly being used to create integrated solutions where some of the component services are delivered from on-premise private cloud environments and the remaining are provided by off-premise providers. While...
Large-scale graph analytics is a central tool in many fields, and exemplifies the size and complexity of Big Data applications. Recent distributed graph processing frameworks utilize the venerable Bulk Synchronous Parallel (BSP) model and promise scalability for large graph analytics. This has been made popular by Google's Pregel, which provides an architecture design for BSP graph processing. Public...
In this paper, we propose a service-aware approach to enhance survivability in virtualized data centers. The idea is to create and maintain a Survivable Virtual Infrastructure (SVI) for each service or tenant, which includes Virtual Machines (VMs) hosting the corresponding application and their backup VMs. A fundamental problem is to determine how to map each SVI to a data center network with minimum...
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