Results for Map-Only Compute-Intensive Workload
Compute mindlessly Not! Map consciously
... and only se- condarily based on the Year 8 ...8 results qualify to their syllabus with the exception of ‘graph’ that is used ambi- guously: it is synonymic to statistics, graphical solving, repre- senting, ...
10
Workload Modelling and Elasticity Management of Data-Intensive Systems
... Hive workload using two different set of features ...obtained results suggest that Hive operator occurrence counts are insufficient for modelling Hive query runtime which is somehow consistent with what we ...
124
Map Reduce for Data Intensive Scientific Analyses
... intermediate results of the computations in local disks, where the computation tasks are executed, and then informs the appropriate workers to retrieve (pull) them for further ...
8
Map Reduce for Data Intensive Scientific Analyses
... use only one processor core in each node for this ...The results shown in Figure 7 and 8 highlight the scalability of the MapReduce technique itself and the two ...The results also indicate how the ...
8
An Improved Technique to Compute Visual Attention Map based upon Wavelet Domain
... saliency map is performed in frequency domain since processing in frequency domain has its own advantages but the inversion back in saliency map will result in poor resolution saliency map ...
7
Results posted online only:
... PADDOCK MAP FOR YOUR GROUP MEETING LOCATIONS FOR THE WEEKEND! Intermediate- Passing areas more liberal and increasing as day progresses Advanced- Passing allowed anywhere using ...
5
A Novel Triangular Chaotic Map (TCM) with Full Intensive Chaotic Population Based on Logistic Map
... Chaotic Map (TCM) with full intensive chaotic population. TCM chaotic map is a one-way function that prevents the finding of a relationship between the successive output values and increases the ...
25
Performance Evaluation Of Map/Reduce Workload Modeling Based Distributed Resource Handler For Cloud Computing
... By using virtualization dynamic resource requirements can be handled with service optimizations. These dynamic handling suffers from the performance and utilization issues due to their heterogeneous environments and ...
8
Workload Management for Data-Intensive Services
... this workload can be categorized as a continuous data-parallel workflow, where each computation is performed on a temporal window of data, such that the campaign statistics are continuously updated ranging from ...
197
Exploiting Private and Hybrid Clouds for Compute Intensive Web Applications
... the only reason OpenNebula requires CPU parameter seems to be only to check if the sum of the CPU power used by all the VMs is less than what is ...not map CPU cores with running ...
69
Accurate Resource Prediction for Hybrid IaaS Clouds Using Workload-Tailored Elastic Compute Units
... of Workload-tailored Elastic Compute Unit (WECU) as a unit of computing power for a specific type of workload on a specific virtual or physical machine ...is only meaningful for long running ...
8
Combining Hadoop with MPI to Solve Metagenomics Problems that are both Data- and Compute-intensive
... we only need a unique long value for every unique chararray, a good hash function is more suitable and surely ...intermediate results dramatically, which have much more positive effects on ...conversion ...
18
Distributed, Robust Auto-Scaling Policies for Power Management in Compute Intensive Server Farms
... and P avg for the MRB, RANDOM and the LRB policies. We find that the routing policy does not significantly affect response time. For power consumption, each policy, when run at its optimal t wait setting, results ...
6
Analysis of Compute Vs Retrieve Intensive Web Applications and Its Impact On The Performance Of A Web Server
... running compute and retrieve-intensive web workloads is analyzed. Workload files implemented in three dynamic web programming technologies: PERL, PHP and Java Servlets are used with MySQL acting as a ...
7
Approximation-Refinement Testing of Compute-Intensive Cyber-Physical Models: An Approach Based on System Identification
... representative results in terms of effective- ness and efficiency based on an industry CI-CPS ...is only meant to complement RQ3 with a fully realistic though extremely time consuming ...
13
A Heterogeneous System Architecture for Low-Power Wireless Sensor Nodes in Compute-Intensive Distributed Applications
... actual workload heavily depends on the number of detected trigger events, all systems were fed with the same pre-recorded sensor samples stored in the processors code memories and the trigger levels were chosen ...
154
Analysing Nursing Workload in Intensive Care Unit by Using a Novel Objective Tracking System
... nursing workload assessment tools, such as TISS-28 and NEMS may not be able to fully assess nursing ...could only account for 32% of a patient’s average nursing intensity during the period of ...was ...
260
Improved Power Efficient VM Selection Strategy to Consolidate Workload in Compute Cloud
... Virtualization technology very special for improving computing resource utilization of in data centers by creating multiple virtual machines on a single physical server or host and implementing the VM consolidation. VM ...
5
Architecture for access to a compute-intensive image mosaic service in the NVO
... 3.2 Overview of the Request Object Management Environment (ROME) Broadly speaking, ROME is simply a lightweight set of tools that handle requests, respond to messages and manages pools of requests in a fault tolerant ...
13
Parallelization of Compute Intensive Applications into Workflows based on Services in BeesyCluster
... simulation results are compared to the theoretical model which confirms its ...implementation. Results for an integrated workflow/MPI solution are also ...
12