As a key part of the serverless computing paradigm, Function-as-a-Service (FaaS) platforms
enable users to run arbitrary functions without being concerned about operational issues …

Fast deployment and execution of cloud functions in Function-as-a-Service (FaaS) platforms
is critical, for example, for microservices architectures. However, functions that require large …

We consider the problem of scheduling small cloud functions on serverless computing
platforms. Fast deployment and execution of these functions is critical, for example, for …

At present, big data is very popular, because it has proved to be much successful in many
fields such as social media, E-commerce transactions, etc. Big data describes the tools and …

Serverless computing is a Cloud development paradigm where developers write and
compose stateless functions, abstracting from their deployment and scaling. In this paper …

MapReduce is one of the essential programming models for parallel processing and
distributed storage of enormous data sets. The default Hadoop implementation assumes that …

Problem definition: Cloud computing is recognized as a critical driver of information
technology–enabled innovations. The operations management (OM) community, however …

Dynamic affinity scheduling has been an open problem for nearly three decades. The
problem is to dynamically schedule multi-type tasks to multi-skilled servers such that the …

Queues that feature multiple entities arriving simultaneously are among the oldest models in
queueing theory, and are often referred to as “batch”(or, in some cases,“bulk”) arrival …

With the explosive growth of data-intensive mobile, social, commercial and industrial
applications, geo-distributed cloud becomes the main trend of cloud computing due to its …