Future Generation Computer Systems

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

The dataset contains a pair of sequential data, including both real-world and synthetic ones. The real-world dataset contains telecommunication alarms from a province of China within a particular period. It is provided purely for research, by a famous ISP in China. Notably, for commercial reasons, we can only provide part of the dataset that has been used in our original paper.

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.

This dataset comprise of experimental results for "IPsec for High speed Network Links: Performance Analysis and Enhancements".

The source code of the parallel quaternion polar harmonic transform moment implementations on multi-core CPU and multi-GPU.

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.