Sökning: "Elastic Computing"

Visar resultat 1 - 5 av 34 uppsatser innehållade orden Elastic Computing.

1. 1. Cross region cloud redundancy : A comparison of a single-region and a multi-region approach

   Master-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :Oskar Lindén; [2023]
   Nyckelord :Cloud computing; Cross-region replication; Performance evaluation;

   Sammanfattning : In order to increase the resiliency and redundancy of a distributed system, it is common to keep standby systems and backups of data in different locations than the primary site, separated by a meaningful distance in order to tolerate local outages. Nasdaq has accomplished this by maintaining primary-standby pairs or primary-standby-disaster triplets with at least one system residing in a different site. LÄS MER

3. 2. Auto-Tuning Apache Spark Parameters for Processing Large Datasets

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Shidi Zhou; [2023]
   Nyckelord :Apache Spark; Cloud Environment; Spark Configuration Parameter; Resource Utilization; Ridge Regression; Elastic Net; Random Forest; Deep Neural Network; Bayesian Optimization; Particle Swarm Optimization.; Apache Spark; Molnmiljö; Apache Spark konfigurationsparameter; Resursutnyttjande; Ridge-regression; Elastisk nät; Slumpskog; Djupt neuralt nätverk; Bayesiansk optimering; Partikelsvärmsoptimering.;

   Sammanfattning : Apache Spark is a popular open-source distributed processing framework that enables efficient processing of large amounts of data. Apache Spark has a large number of configuration parameters that are strongly related to performance. Selecting an optimal configuration for Apache Spark application deployed in a cloud environment is a complex task. LÄS MER

4. 3. A performance study for autoscaling big data analytics containerized applications : Scalability of Apache Spark on Kubernetes

   Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Vinay Kumar Vennu; Sai Ram Yepuru; [2022]
   Nyckelord :Containers; Container Orchestration; Big data analytics; Autoscaling; Resource Management;

   Sammanfattning : Container technologies are rapidly changing how distributed applications are executed and managed on cloud computing resources. As containers can be deployed on a large scale, there is a tremendous need for Container Orchestration tools like Kubernetes that are highly automatic in deployment, scaling, and management. LÄS MER

5. 4. Comparing the Cost-effectiveness of Image Recognition for Elastic Cloud Computing : A cost comparison between Amazon Web Services EC2 instances

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Christopher Gauffin; Erik Rehn; [2021]
   Nyckelord :Cloud; On-premise; Infrastructure; Image Recognition; Machine Learning; Deep Learning; Amazon Web Services; EC2; Moln; On-premise; Infrastruktur; Bildigenkänning; Maskinlärning; Djupinlärning; Amazon Web Services; EC2;

   Sammanfattning : With the rise of the usage of AI, the need for computing power has grown exponentially. This has made cloud computing a popular option with its cost- effective and highly scalable capabilities. However, due to its popularity there exists thousands of possible services to choose from, making it hard to find the right tool for the job. LÄS MER

7. 5. ALCOL : Probabilistic Threat Modelling of the Amazon Elastic Container Service Domain

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Jonathan Jefford-Baker; [2019]
   Nyckelord :;

   Sammanfattning : Cloud computing is becoming an increasingly popular computation model for IT-infrastructures which has changed the notion of computing resources. Another concept that has become popular is containers which provides the capability to run applications isolated from each other while sharing the host’s operating system kernel. LÄS MER