Elasticity is a fundamental property in cloud computing that has recently witnessed major
developments. This article reviews both classical and recent elasticity solutions and …

Recent demands for storing and querying big data have revealed various shortcomings of
traditional relational database systems. This, in turn, has led to the emergence of a new kind …

The advances of Machine Learning (ML) have sparked a growing demand of ML-as-a-
Service: developers train ML models and publish them in the cloud as online services to …

Cloud computing environments allow customers to dynamically scale their applications. The
key problem is how to lease the right amount of resources, on a pay-as-you-go basis …

Web application providers have been migrating their applications to cloud data centers,
attracted by the emerging cloud computing paradigm. One of the appealing features of the …

Emerging cloud-based software services have proposed request for self-adaptive resource
allocation that provides to dynamically adjust resources on demand. Traditional self …

Microservices are widely used for flexible software development. Recently, containers have
become the preferred deployment technology for microservices because of fast start-up and …

With a growing demand for adopting ML models for a variety of application services, it is vital
that the frameworks serving these models are capable of delivering highly accurate …

Cloud computing emerging environment attracts many applications providers to deploy web
applications on cloud data centers. The primary area of attraction is elasticity, which allows …

Cloud computing is now a well-consolidated paradigm for on-demand services provisioning
on a pay-as-you-go model. Elasticity, one of the major benefits required for this computing …