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CRUCIBLE: Towards unified secure on- and off-line analytics at scale

CRUCIBLE: Towards unified secure on- and off-line analytics ...

引用

2013 International Workshop on Data-Intensive Scalable computing Systems, DISCS 2013

作者： Coetzee, Peter Jarvis, Stephen Performance Computing and Visualisation Group University of Warwick Coventry United Kingdom

ISBN: (纸本)9781450325066

The burgeoning field of data science benefits from the application of a variety of analytic models and techniques to the oft-cited problems of large volume, high velocity data rates, and significant variety in data structure and semantics. Many approaches make use of common analytic techniques in either a streaming or batch processing paradigm. This paper presents progress in developing a framework for the analysis of large-scale datasets using both of these pools of techniques in a unified manner. This includes: (1) a Domain Specific Language (DSL) for describing analyses as a set of Communicating Sequential Processes, fully integrated with the Java type system, including an Integrated Development Environment (IDE) and a compiler which builds idiomatic Java;(2) a runtime model for execution of an analytic in both streaming and batch environments;and (3) a novel approach to automated management of cell-level security labels, applied uniformly across all runtimes. The paper concludes with a demonstration of the successful use of this system with a sample workload developed in (1), and an analysis of the performance characteristics of each of the runtimes described in (2).

关键词： Semantics

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Blurring the computation-communication divide: Extraneous memory accesses and their effects on MPI intranode communications

Blurring the computation-communication divide: Extraneous me...

引用

2nd Imperial College computing Student Workshop, ICCSW 2012

作者： Tan, Wilson M. Jarvis, Stephen A. Department of Computer Science Performance Computing and Visualisation Group University of Warwick United Kingdom

ISBN: (纸本)9783939897484

Modern MPI simulator frameworks assume the existence of a Computation-Communication Divide: thus, they model and simulate the computation and communication sections of an MPI Program separately. The assumption is actually sound for MPI processes that are situated in different nodes and communicate through a network medium such as Ethernet or Infiniband. For processes that are within a node however, the validity of the assumption is limited since the processes communicate using shared memory, which also figures in computation by storing the application and its associated data structures. In this work, the limits of the said assumption's validity were tested, and it is shown that Extraneous Memory Accesses (EMAs) by a compute section could significantly slow down the communication operations following it. Two general observations were made in the course of this work: first, more EMAs cause greater slowdown;and second, EMAs coming from the compute section of the processes containing the MPI-Recv are more detrimental to communication performance than those coming from processes containing MPI Send. © Wilson M. Tan and Stephen A. Jarvis.

关键词： Parallel programming

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Dynamic active window management: A method for improving revenue generation in dynamic enterprise systems

Dynamic active window management: A method for improving rev...

引用

11th IEEE International Conference on Computer and Information Technology, CIT 2011 and 11th IEEE International Conference on Scalable computing and Communications, SCALCOM 2011

作者： Al-Ghamdi, M. Chester, A.P. He, L. Jarvis, S.A. Xue, J.W.J. Department of Computer Science Performance Computing and Visualisation Group University of Warwick Coventry United Kingdom Department of Computing School of Science and Technology University of Northampton Northamptonshire United Kingdom

ISBN: (纸本)9780769543888

In dynamic resource allocation systems, servers are moved between pools when overloading is detected. In this work, we investigate the impact to such systems of combining three adaptive monitoring techniques. First we employ two well known switching policies the Proportional Switching Policy (PSP) and the Bottleneck Aware Switching Policy (BSP) to move servers between server pools as appropriate. Second we use a metaforecasting technique to predict the movement in future system workload. Third, we use a Dynamic Active Window Model (DAWM), which defines the period over which workload data is analysed. We have previously shown that request servicing capability can be improved by as much as 40% when the right combination of dynamic server switching and workload forecasting are used. This extended model shows that a further 51.5% improvement can be achieved when the switching server policy, meta-forecasting and dynamic active window management are employed together over a real-world workload based on Internet traces. © 2011 IEEE.

关键词： Resource allocation

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Energy harvesting noise pollution sensing WSN mote: Survey of capabilities and limitations

Energy harvesting noise pollution sensing WSN mote: Survey o...

引用

IEEE Conference on Wireless Sensor (ICWISE)

作者： Wilson M. Tan Stephen A. Jarvis Performance Computing and Visualisation Group University of Warwick UK

Wireless sensor networks (WSNs) are potentially a boon to the implementation and enforcement of noise codes which now exist for many major cities all over the world. Unfortunately, the high energy required by the noise measurement process and the reliance of sensor motes on batteries make the management of noise sensing WSNs cumbersome. Giving motes energy harvesting (EH) capabilities could alleviate such a problem, and several EH WSNs have already been demonstrated. Nevertheless, the high frequency nature of the data required to measure noise places significant additional challenges to the design of EH WSNs. In this paper, we characterize the capabilities and limitations of a WSN mote designed to measure noise. We identify, through specification analysis and experimentation, the performance-limiting factors in each step of the noise measurement process. These steps include sound gathering, data processing, and result transmission. The prospect of the entire process being powered by energy-harvesting means is also evaluated. For each step, we also discuss and recommend measures that would help improve the overall system performance.

关键词： Microphones Wireless sensor networks Base stations Noise Sensors Microcontrollers Energy harvesting

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Self-determination of maximum supportable receiver wakeup intervals in Energy Harvesting WSN nodes

Self-determination of maximum supportable receiver wakeup in...

引用

IFIP Wireless Days, WD

作者： Wilson M. Tan Stephen A. Jarvis Performance Computing and Visualisation Group University of Warwick UK

Energy harvesting wireless sensor network nodes would not be able to operate without duty cycling. In TinyOS, duty cycling is supported through Low Power Listening or LPL. LPL is sender-centric: the longer the wakeup interval, the more power a receiver saves, at the cost of more energy per transmission for the sender. Due to the limitations of energy storage technologies, there is a limit to the sender wakeup interval which energy harvesting senders could support. Currently, the limit could be derived computationally or experimentally. Computational derivation is overly conservative, while manual experimentation is labour intensive. In this paper, we present a protocol which enables sensor nodes to determine the wakeup interval limit experimentally without human intervention or the aid of other nodes. Not only does the protocol allow for easier determination of the said limit, it also allows network nodes to adjust to environmental changes that nodes encounter while in deployment, such as capacitor ageing.

关键词： Receivers Capacitors Protocols Random access memory Nonvolatile memory Energy harvesting Calibration

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Determination of maximum supportable receiver wakeup intervals in energy harvesting WSN nodes using a client-server setup

Determination of maximum supportable receiver wakeup interva...

引用

IEEE Conference on Wireless Sensor (ICWISE)

作者： Wilson M. Tan Stephen A. Jarvis Performance Computing and Visualisation Group University of Warwick UK

Energy harvesting wireless sensor network nodes would not be able to operate without duty cycling. In TinyOS, duty cycling is supported through Low Power Listening or LPL. LPL is sender-centric: the longer the wakeup interval, the more power a receiver saves, at the cost of more energy per transmission for the sender. Due to the limitations of energy storage technologies, there is a limit to the sender wakeup interval which energy harvesting senders could support. Currently, the limit could be derived computationally or experimentally. Computational derivation is overly conservative, while manual experimentation is labor intensive. In this paper, we present a protocol which enables sensor nodes to autonomously determine the wakeup interval limit experimentally, using a client-server architecture. Not only does the protocol allow for easier determination of the said limit, it also allows network nodes to adjust to environmental changes that nodes encounter while in deployment, such as capacitor ageing.

关键词： Receivers Capacitors Servers Wireless sensor networks Protocols Calibration Energy harvesting

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A distributed heuristic solution to the target identifiability problem in directional sensor networks

A distributed heuristic solution to the target identifiabili...

引用

International Conference on computing, Networking and Communications (ICNC)

作者： Wilson M. Tan Stephen A. Jarvis Networks and Distributed Systems Group University of the Philippines Philippines Performance Computing and Visualisation Group University of Warwick UK

Existing algorithms for orienting sensors in directional sensor networks have primarily concerned themselves with the problem of maximizing the number of covered targets, assuming that target identification as a non-issue. Such an assumption however, does not hold true in all situations. In this paper, a distributed heuristic algorithm for choosing active sensors and orienting them with the goal of balancing coverage and identifiability is presented. The performance of the algorithm is verified via simulations, and shown through simulations to confer increased target identifiability compared to algorithms originally designed to simply maximize the number of targets covered.

关键词： Sensors Heuristic algorithms Algorithm design and analysis Protocols Conferences Equations Computer numerical control

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Quality over quantity: Target identifiability in directional sensor networks

Quality over quantity: Target identifiability in directional...

引用

IEEE Conference on Wireless Sensor (ICWISE)

作者： Wilson M. Tan Stephen A. Jarvis Networks and Distributed Systems Group University of the Philippines Philippines Performance Computing and Visualisation Group University of Warwick UK

Existing algorithms for orienting sensors in directional sensor networks have primarily concerned themselves with the problem of maximizing the number of covered targets, assuming that target identification as a non-issue. Such an assumption however, does not hold true in all situations. In this paper, three heuristic algorithms for choosing active sensors and orienting them with the goal of balancing coverage and identifiability are presented. The first algorithm is parameterizable, allowing users to specify the desired level of trade-off between coverage and identifiability. The other two algorithms are not parameterizable, and are more suited for situations where coverage is preferred over identifiability. The performance of the algorithms are verified via simulations, and shown through simulations to confer increased target identifiability compared to algorithms originally designed to simply maximize the number of targets covered.

关键词： Wireless sensor networks Equations Sensor systems Conferences Wireless communication Heuristic algorithms

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Dynamic Active Window Management: A Method for Improving Revenue Generation in Dynamic Enterprise Systems

Dynamic Active Window Management: A Method for Improving Rev...

引用

International Conference on Computer and Information Technology (CIT)

作者： M. Al-Ghamdi A.P. Chester L. He S.A. Jarvis J.W.J. Xue Department of Computer Science Performance Computing and Visualisation Group University of Warwick Coventry UK Department of Computing School of Science and Technology University of Northampton Northamptonshire UK

In dynamic resource allocation systems, servers are moved between pools when overloading is detected. In this work, we investigate the impact to such systems of combining three adaptive monitoring techniques. First we employ two well known switching policies the Proportional Switching Policy (PSP) and the Bottleneck Aware Switching Policy (BSP) to move servers between server pools as appropriate. Second we use a meta forecasting technique to predict the movement in future system workload. Third, we use a Dynamic Active Window Model (DAWM), which defines the period over which workload data is analysed. We have previously shown that request servicing capability can be improved by as much as 40% when the right combination of dynamic server switching and workload forecasting are used. This extended model shows that a further 51.5% improvement can be achieved when the switching server policy, meta-forecasting and dynamic active window management are employed together over a real-world workload based on Internet traces.

关键词： Switches Servers Heuristic algorithms Predictive models Internet Monitoring Erbium

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Accelerating Hydrocodes with OpenACC, OpenCL and CUDA

Accelerating Hydrocodes with OpenACC, OpenCL and CUDA

引用

High performance computing, Networking, Storage and Analysis (SCC), SC Companion:

作者： J. A. Herdman W. P. Gaudin S. McIntosh-Smith M. Boulton D. A. Beckingsale A. C. Mallinson S. A. Jarvis High Performance Computing UK Atomic Weapons Research Establishment Aldermaston UK Microelectronics Group Department of Computer Science University of Bristol UK Performance Computing and Visualisation Department of Computer Science University of Warwick UK

ISBN: (纸本)9781467362184

Hardware accelerators such as GPGPUs are becoming increasingly common in HPC platforms and their use is widely recognised as being one of the most promising approaches for reaching exascale levels of performance. Large HPC centres, such as AWE, have made huge investments in maintaining their existing scientific software codebases, the vast majority of which were not designed to effectively utilise accelerator devices. Consequently, HPC centres will have to decide how to develop their existing applications to take best advantage of future HPC system architectures. Given limited development and financial resources, it is unlikely that all potential approaches will be evaluated for each application. We are interested in how this decision making can be improved, and this work seeks to directly evaluate three candidate technologies-OpenACC, OpenCL and CUDA-in terms of performance, programmer productivity, and portability using a recently developed Lagrangian-Eulerian explicit hydrodynamics mini-application. We find that OpenACC is an extremely viable programming model for accelerator devices, improving programmer productivity and achieving better performance than OpenCL and CUDA.

关键词： Graphics processing units Kernel Programming Hydrodynamics performance evaluation Productivity Libraries

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