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In this paper, we introduce a majority quorum system dedicated to p-m-n general threshold schemes where p, n and m are respectively the minimal number of chunks that provide some information (but not necessarily all) on the original data, the total number of nodes in which the chunks of an object are stored and the minimal number of nodes needed to retrieve the original data using this protocol. In...
Many modern advanced biology experiments are carried on by Electron Microscope(EM) image analysis. Segmentation is one of the most important and complex steps in the process of image analysis. Previous ISBI contest results and related research show that Convolution Neural Network(CNN)has high classification accuracy in EM image segmentation. Besides it eliminates the pain of extracting complex features...
To migrate complex sequential code to multicore, profiling is often used on sequential executions to find opportunities for parallelization. In non-scientific code, the potential parallelism often resides in while-loops rather than for-loops. The do-all model used in the past by many studies cannot detect this type of parallelism. A new, task-based model has been used by a number of recent studies...
Today's big-data analysis systems achieve performance and scalability by requiring end users to embrace a novel programming model. This approach is highly effective whose the objective is to compute relatively simple functions on colossal amounts of data, but it is not a good match for a scientific computing environment which depends on complex applications written for the conventional POSIX environment...
HDFS (Hadoop Distributed File System) is the primary storage of Hadoop. Even though data locality offered by HDFS is important for Big Data applications, HDFS suffers from huge I/O bottlenecks due to the tri-replicated data blocks and cannot efficiently utilize the available storage devices in an HPC (High Performance Computing) cluster. Moreover, due to the limitation of local storage space, it is...
As we come to terms with various big data challenges, one vital issue remains largely untouched. That is service level agreement (SLA) management to deliver strong Quality of Service (QoS) guarantees for big data analytics applications (BDAA) sharing the same underlying infrastructure, for example, a public cloud platform. Although SLA and QoS are not new concepts as they originated much before the...
Molecular Dynamics(MD) is a computer simulation of physical movements of atoms and molecules in the context of N-body simulation, and is an important part of pharmaceutical industry. GROMACS, which is the most popular software for MD, could not perform satisfactorily with large-scale for the limit of computing resources. In this paper, we proposed a method to accelerate GROMACS with offload mode....
Computing models provide the parallel and distributed algorithms for cloud. The ability to estimate the performance of parallel computing models for efficient resource scheduling is critical. Current techniques for predicting the performance are mostly based on analyzing and simulating. The behavior of parallel computing model directly leads to the diversity of mathematical model. Without a general...
Constructing an overlay storage system based on multiple personal cloud storages is a desirable technique and novel idea for cloud storages. Existing designs provide the basic functions with some customized features. Unfortunately, some important issues have always been ignored including privacy protection, QoS and cipher-text search. In this paper, we present Spy, our design for an anonymous storage...
This paper takes Shenzhen Fustian comprehensive transportation junction as the case, and makes use of continuous multiple real-time dynamic traffic information to carry out monitoring and analysis on spatial and temporal distribution of passenger flow under different means of transportation and service capacity of junction from multi-dimensional space-time perspectives such as different period and...
Molecular dynamics (MD) is a computer simulation of physical movements of atoms and molecules, which is a very important research technique for the study of biological and chemical systems at micro-scale. Assisted Model Building with Energy Refinement (AMBER) is one of the most commonly used software for MD. However, the microsecond MD simulation of large-scale atom system requires a lot of computation...
Software-Defined Networking not only addresses the shortcoming of traditional network technologies in dealing with frequent and immediate changes in cloud data centers but also made network resource management open and innovation-friendly. To further accelerate the innovation pace, accessible and easy-to-learn testbeds are required which estimate and measure the performance of network and host capacity...
Business-critical workloads -- web servers, mail servers, app servers, etc. -- are increasingly hosted in virtualized data enters acting as Infrastructure-as-a-Service clouds (cloud data enters). Understanding how business-critical workloads demand and use resources is key in capacity sizing, in infrastructure operation and testing, and in application performance management. However, relatively little...
The focus of this work is the on-demand resource provisioning in cloud computing, which is commonly referredto as cloud elasticity. Although a lot of effort has been invested in developing systems and mechanisms that enable elasticity, the elasticity decision policies tend to be designed without quantifying or guaranteeing the quality of their operation. We present an approach towards the development...
While workload collocation is a necessity to increase energy efficiency of contemporary multi-core hardware, it also increases the risk of performance anomalies due to workload interference. Pinning certain workloads to a subset of CPUs is a simple approach to increasing workload isolation, but its effect depends on workload type and system architecture. Apart from common sense guidelines, the effect...
In large InfiniBand subnets the Subnet Manager (SM) is a potential bottleneck. When an InfiniBand subnet grows in size, the number of paths between hosts increases polynomials and the SM may not be able to serve the network in a timely manner when many concurrent path resolution requests are received. This scalability challenge is further amplified in a dynamic virtualized cloud environment. When...
Large scale multiprocessor array suffers from frequent hardware defects or soft faults due to overheating, overload or occupancy by other running applications. To obtain fault-free logical array, reconfiguration techniques are proposed to reuse the fault-free PEs by changing the interconnection among PEs. Previous research has worked on this topic but assume that switches and links are fault-free...
Data outsourcing relieves cloud users of the heavy burden of infrastructure management and maintenance. However, the handover of data control to untrusted cloud servers significantly complicates the security issues. Conventional signature verification widely adopted in cryptographic storage system only guarantees the integrity of retrieved data, for those rarely or never accessed data, it does not...
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