Future Generation Computer Systems

For the 12 functions in the CEC2013 benchmark, a 100-dimensional genetic algorithm experiment was performed. This is the test result obtained using different nodes.

This data is generated as a result of executing three different workflows of serverless functions on three platfroms: AWS Step Functions, IBM Composer and using our novel AFCL language.

Nº of Users: 26 Description: Participants performed 12 tasks considered in the HuSBIT-10 taxonomy. EEG activity was recorded during each tasks for a 10-second interval (EEG segment)

Complete list of scenarios that contemplate all the cases of faults that can occur during the execution of the target application, and their consequences

1. Factors that affect human satisfaction 2. A comparison between the simsat algorithm and the optimal cost in terms of satisfaction 3. The raw data collected from MTurk users 4. Data from Mturk users that was used to learn the satisfaction function

This dataset covers five data components of interest developed during our research which is published in “Dynamic Virtual Machine Consolidation using a multi-agent system to optimise energy efficiency in Cloud Computing”. They are: a patch file, peersim-1.0.5-nmcd.patch, for PeerSim version 1.0.5; four zip files contains the source code for the Gossip Contracts framework, GossipContracts-src.zip, the DVMC models, DVMC-src.zip, the module to process the Google dataset, GoogleTraceData-src.zip, and some utility methods, Util-src.zip; and the experiment results files, ResearchData-Results.zip.

In this study, 20 recommendation lists are provided for each of 7,214 user's locations in total. Four different buffer sizes (two, five, ten, and 15 km) and four UPDs are considered for each user's location to prepare the event recommendation lists. In the implemented scenario, three different scenarios were applied in order to support research claims. The word "SC" refers to a specific scenario as "SC_1" refers to the first scenario. Totally, considering four circle buffers and four UPDs in each buffer, 16 buffer lines will be prepared as "sc_1_line_1" refers to the first UPD in the buffer size of two kilometers. In addition, "sc_1_cycle" refers to all the event venues that are located in the circle buffer size of two kilometers. "EventVenues" and "venuesMBBs" contain geospatial information for the selected venues and also their extracted minimum bounding boxes. All the imported building located in the city of Calgary, Alberta is in the "calgaryBuilding" table, and "userLocations" shows the spatial information considered for the 7,214 user's locations.

The cross validation results for the prediction models.

The color image encryption using modular chaotic map, for more information contact with following email: broumandnia@gmail.com

It contains the source codes and shell scripts for the RIMM. 1. RandomFileCreator_J_V2 ：It generates files with random content and different size. The file is used to simulate the region for the integrity methods based on the message digest algorithm. 2. GetRegionsInfo_J : It gets the integrity information of the region in the base image. 3. CheckRegionIntegration_C : It checks the integrity of the region in the increment image. It also gets the number of cached clusters. 4. shell : It gets the used time of the different integrity measurement methods.