Exploiting multi-core nodes in peer-to-peer grids

• We manage multi-core nodes efficiently in a decentralized way in peer-to-peer grids.
• We schedule multi-threaded jobs in P2P grids effectively.
• We suggest a parameterized performance model for concurrent jobs in a multi-core.
• Our schemes perform competitively to centralized methods, confirmed by simulations.
• Large-scale simulations show that our schemes scale well.

While the majority of CPUs now sold contain multiple computing cores, current grid computing systems either ignore the multiplicity of cores, or treat them as distinct, independent machines. The latter approach ignores the resource contention present between cores in a single CPU, while the former approach fails to take advantage of significant computing power. We provide a decentralized resource management framework for exploiting multi-core nodes to run multi-threaded applications in peer-to-peer grids. We present two new load-balancing schemes that explicitly account for the resource sharing and contention of multiple cores, and propose a parameterized performance prediction model that can represent a continuum of resource sharing among cores of a CPU. We use extensive simulation to confirm that our two algorithms match jobs with computing nodes efficiently, and balance load during the lifetime of the computing jobs.