Abstract — We propose a technology strategy for enabling applications to scale to next-generation levels of I/O scalability and communication performance on industry standard platforms. The strategy combines efficient packet processing and scalable I/O concurrency, potentially enabling Ethernet

The increasing demand for scalable and highly-available network services has challenged computer architects to develop new I/O architecture for servers. The recently released InfiniBand industry standard, for instance, provides scalable bandwidth and protected I/O communication using the memory

computing devices, each of which is a potential target of computation. Furthermore, to cope with time-varying load spikes and changing demand, many servers would be brought to bear on the problem. In both cases, distributed computation is the norm. Abstract Stream processing fits a large class of new

, severly constraining distributed computation. Further, the conventional architecture concentrates traffic in a few pieces of hardware that must be frequently upgraded and replaced to keep pace with demand- an approach that directly contradicts the prevailing philosophy in the rest of the data center

that the next generation of heterogeneous systems might follow. A prototype design of such a next-generation heterogeneous computing framework is also discussed. 1 Introduction Parallel computing methodologies using clusters of heterogeneous systems have demonstrated their viability in the past several years

the way. The architecture enables seamless roaming in a single logical overlay network composed of many heterogeneous (mostly wireless) physical networks, and provides significantly better TCP performance for these networks. It also provides complex scalable and highly available services to enable

on the definition of general APIs, to make easier the porting effort towards different architectures. According to the principle of not binding the system design to a particular architecture, communication among the components of our parallel servers is carried out through the standard communication library Message

applications likemultimedia servers. In this paper we presentan architecture for this kind of servers based on a cluster of commodity o#-the-shelf SMPs. Relevant features of our design are high scalability and recon#gurability to deal with expandable and heterogeneous hardware setups, integration of the mass

-tile parallelization can be created automatically based on the inter-tile parallelization and thereby allows for scalability to shared memory many-core architectures. To be able to use OpenMP on distributed memory systems we propose a PGAS-like memory level called world memory. World memory does not only allow data

Clusters of commodity computers are currently being used to provide the scalability required by several popular Internet services. In this paper we evaluate an efficient cluster-based WWW server, as a function of the characteristicsof the intra-cluster communication architecture. More specifically