Cloud Computing is online technology where computing resources like hardware, software
and applications are available as per the user's needs. A cloud computing architecture …

Distributed in-memory computing frameworks usually have lots of parameters (eg, the buffer
size of shuffle) to form a configuration for each execution. A well-tuned configuration can …

In stream processing applications, an operator is often instantiated into multiple parallel
execution instances, referred to as executors, to facilitate large-scale data processing. Due …

The rapid increase in data volume due to technological advancements necessitates using
robust big data processing frameworks to analyze vast amounts of heterogeneous data …

Resource management concepts of container orchestration platforms such as Kubernetes
can be used to achieve multi-tenancy with quality of service differentiation between tenants …

In a streaming application, an operator is usually instantiated into multiple tasks for parallel
processing. Tasks across operators have various memory demands due to different …

Cloud computing has become an increasingly popular paradigm for organizations to
manage and utilize computing resources. Long-running applications hosted on cloud …

Modern distributed machine learning training applications are always parameter-shuffle
workloads (PSWs) instead of traditional data-shuffle jobs. In PSWs, the time to read data …

Docker Container is newly introduced technology in cloud Computing since last few years.
Docker Swarm is tool for scheduling and managing individual Container for microservice …

Data-intensive computing systems in cloud datacenters create long-lived containers and
allocate memory resource for them to execute long-running applications. It is a challenge to …