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MapReduce is an important programming model for processing and generating large data sets in parallel. It is commonly applied in applications such as web indexing, data mining, machine learning, etc. As an open-source implementation of MapReduce, Hadoop is now widely used in industry. Virtualization, which is easy to configure and economical to use, shows(More)
—Recently, companies and standards organizations are enhancing Ethernet as the unified switch fabric for all of the TCP/IP traffic, the storage traffic and the interprocess communication(IPC) traffic in Data Center Networks(DCNs). Backward Congestion Notification(BCN) is the basic mechanism for the end-to-end congestion management enhancement. To fulfill(More)
Current data storage on smartphones mostly inherits from desktop/server systems a flash-centric design: The memory (DRAM) effectively acts as an I/O cache for the relatively slow flash. To improve both app responsiveness and energy efficiency, this paper proposes MobiFS, a memory-centric design for smartphone data storage. This design no longer exercises(More)
Predicting grid performance is a complex task because heterogeneous resource nodes are involved in a distributed environment. Long execution workload on a grid is even harder to predict due to heavy load fluctuations. In this paper, we use Kalman filter to minimize the prediction errors. We apply Savitzky-Golay filter to train a sequence of confidence(More)
Due to the dynamic nature of grid environments, schedule algorithms always need assistance of a long-time-ahead load prediction to make decisions on how to use grid resources efficiently. In this paper, we present and evaluate a new hybrid model, which predicts the <i>n</i>-step-ahead load status by using interval values. This model integrates(More)
—A virtual machine (VM) has been serving as a crucial component in cloud computing with its rich set of convenient features. The high overhead of a VM has been well addressed by hardware support such as Intel virtualization technology (VT), and by improvement in recent hypervisor implementation such as Xen, KVM, etc. However, the high demand on VM image(More)
ChinaGrid Support Platform (CGSP) is proposed to provide grid toolkit for ChinaGrid application developers and specific grid constructors, in order to reduce their development cost as greatly as possible. CGSP extensible and reconfigurable framework, which satisfies the expansion and autonomy requirement of ChinaGrid, is mainly discussed in the paper. In(More)
— In this paper, we present generic cloud performance models for evaluating Iaas, PaaS, SaaS, and mashup or hybrid clouds. We test clouds with real-life benchmark programs and propose some new performance metrics. Our benchmark experiments are conducted mainly on IaaS cloud platforms over scale-out and scale-up workloads. Cloud benchmarking results are(More)
In this paper, a practical coarse-grained distributed parallel programming interface for grid computing (PI4GC) is introduced. It provides a group of generic and abstract function prototypes with well-specified semantics. PI4GC is an MPI-like interface plus high-level parallel tasking over grid. Following its specification, users could couple multiple(More)