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The MapReduce model is becoming prominent for the large-scale data analysis in the cloud. In this paper, we present the benchmarking, evaluation and characterization of Hadoop, an open-source implementation of MapReduce. We first introduce HiBench, a new benchmark suite for Hadoop. It consists of a set of Hadoop programs, including both synthetic(More)
Modern network processors employs parallel processing engines (PEs) to keep up with explosive internet packet processing demands. Most network processors further allow processing engines to be organized in a pipelined fashion to enable higher processing throughput and flexibility. In this paper, we present a novel program transformation technique to exploit(More)
I. THE HIBENCH SUITE MapReduce and its popular open source implementation, Hadoop, are moving toward ubiquitous for Big Data storage and processing. Therefore, it is essential to quantitatively evaluate and characterize the Hadoop deployment through extensive benchmarking. In this paper, we present HiBench [1], a representative and comprehensive benchmark(More)
Although Big Data Cloud (e.g., MapReduce, Hadoop and Dryad) makes it easy to develop and run highly scalable applications, efficient provisioning and fine-tuning of these massively distributed systems remain a major challenge. In this paper, we describe a general approach to help address this challenge, based on distributed instrumentations and(More)
Virtualization is gaining popularity in cloud computing and has become the key enabling technology in cloud infrastructure. By replicating the virtual server state to multiple independent platforms, virtualization improves the reliability and availability of cloud systems. Unfortunately, existing Virtual Machine (VM) replication solutions were designed only(More)
High-quality I/O virtualization (that is, complete device semantics, full-feature set, close-to-native performance and real-time response) is critical to both server and client virtualizations. Existing solutions for I/O virtualization (e.g., full device emulation, paravirtualization and direct I/O) cannot meet the requirements of high-quality I/O(More)
Effective compilation of packet processing applications onto the Intel IXP network processors requires, among other things, the automatic use of multiple threads on one or more processing elements, and the automatic introduction of synchronization as required to correctly enforce dependences between such threads. We describe the program transformation that(More)