A thread scheduling model for highly concurrent IoT platforms

Thread Scheduling for Multi-Core Platforms

As multi-core processors with tens or hundreds of cores begin to proliferate, system optimization issues once faced only by the high-performance computing (HPC) community will become important to all programmers. However, unlike with HPC, the focus of the multi-core programmer will be on programming productivity and portability as much as performance. We introduce in this paper a novel scheduli...

Analytical Modeling for Affinity-Based Thread Scheduling on Multicore Platforms

This paper proposes an analytical model to estimate the cost of running an affinity-based thread schedule on multicore shared-memory systems. This model considers a memory architecture as a generic tree structure and allows for a portable, architecture-aware optimization framework to find an optimized schedule for multi-threaded programs. It consists of three submodels in order to measure the c...

Model-Based Testing as a Service for IoT Platforms

The Internet of Things (IoT) has increased its footprint becoming globally a ’must have’ for today’s most innovative companies. Applications extend to multitude of domains, such as smart cities, healthcare, logistics, manufacturing, etc. Gartner Group estimates an increase up to 21 billion connected things by 2020. To manage ’things’ heterogeneity and data streams over large scale and secured d...

Thread Scheduling for Chip Multiprocessors

A Highly Concurrent Transaction Management Model

We describe a methodology for transforming sets of database transactions into sets of conflict-free transactions which can be executed independently and in parallel. The method identifies conflicting tuples and uses buffers in high-speed memory to hold those tuples. The separate transactions are then modified to operate on both the database and the relevant buffers.