1. Clouds for Business, Business for Clouds ( Web page).
2. International Workshop on Cross-Stratum Optimization for Cloud Computing and Distributed Networked Applications (Web page).
3. International Workshop on AstroParticles Physics Advanced Computing (APPAC) ( Web page).
4. International Workshop on Multicore Cache Hierarchies: Design and Programmability Issues ( Web page).
5. HAC 2012: International Workshop on Heterogeneus Architectures and Computing (Web page)
6. International Workshop On The Growing Problems with Scalable, Heterogeneous Infrastructures (Canceled).
7. International Workshop on Stream Computing Applications (Canceled).
8. The 4th. International Workshop on Multicore and Multithreaded Architectures and Algorithms (M2A2 2012) ( Web page).

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Cloud Computing has acquired enough maturity to expand its field of application to business. Yet there are not only institutions which use this paradigm in their production line but there are also those which are offering services through the Cloud.

This workshop intends to put together efforts done from service producers and consumers in order to make Cloud Computing provide an added value to the economy of any kind of institution. Technologies, policies and heuristics will be shared, not discarding those coming from other areas that would benefit Cloud Computing.

The Workshop intends also to focus on how services are delivered through the cloud as a popular strategic technology choice for businesses that provides a flexible, ubiquitous and consistent platform accessible from anywhere at any time.

The interface of software services and cloud computing provides a rich area for research and experience to give a unique insight into how cloud-based service can be achieved in practice. We encourage submissions of research papers on work in the area of Cloud Computing, Service Engineering, and especially welcome papers describing developments in cloud-enabled business process management and all related areas, such as deployment techniques, business models for cloud-based enterprises and experience reports from practitioners.

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The current lack of interaction between networked applications and the underlying network during service provisioning cause inefficiencies on the use of network resources which can negatively impact the quality expectations of the final consumers of those applications.

Typical networked applications are offered through Information Technology (IT) resources (as computing and storage facilities) residing in data centers. Data centers then provide the physical and virtual infrastructure in which applications and services are provided. Since the data centers are usually distributed geographically around a network, many decisions made in the control and management of application services, such as where to instantiate another service instance, or which data center out of several is assigned to a new customer, can have a significant impact on the state of the network. In the same way, the capabilities and state of the network can have a major impact on application performance.

Cross-stratum optimization (CSO) is referred to the combined optimization of both the application and the network components that aims to provide joint resource optimization, responsiveness to quickly changing demands from/to application to/from network, enhanced service resilience using cooperative recovery techniques, and quality of experience assurance by a better use of existing network and application resources, among others.

The CSO involves the overall optimization of application layer and network resources by envisioning next generation architecture for interactions and exchanges between the two layers to improve service continuity, performance guarantees, scalability and manageability. The goal of this workshop is to promote the research interest on the optimal integration of application and network resources.

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AstroParticle Physics (APP) and High energy physics experiments are addressing the last state of the art related to manipulation of large data sets over wide computing networks, developing tools and services for exchanging, delivery, processing and managing huge amount of data.

Analysis and simulation applications involved in these experiments are deployed on a variety of architectures and usually demand high computational and storage capacities.

Different solutions ranging from distributed computing (e.g. GRID, CLOUD, P2P, etc.) to recently GPUs attempt to address efficient scenario for the Astroparticle & HEP community. In particular, job-scheduling optimization in distributed environments is an active research field originated from previously worldwide successful HEP projects (ALICE, Pierre Auger observatory, etc.) and wil be implemented in future Space and on-ground APP projects as the JEM-EUSO Space Mission.

The main aim of this workshop is to bring researchers from Physics, Computer Science, developers and, in general, from the AstroParticle and High Energy Physics fields, to identify and explore open issues regarding efficient solutions for HEP advanced computing. Also we foster the proposal of solutions that are being developed for each experiment applications. The APPAC workshop will provide a forum for free exchange of ideas.

We plan to have a variety of presentations where applications, middleware and computing models for a few experiments are explained and discussed to give ideas for the next generations of high-energy physics analysis software being developed in the future.

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Caches have been playing an essential role in the performance of single-core systems due to the gap between processor speed and main memory latency. First level caches are strongly restricted by their access time but current processors are able to hide most of their latency using out-of order execution as well as miss overlapping techniques. On the other hand, last levels of the cache memory hierarchy are not so dependable on their access time but on their locality issues. The locality in lower levels is filtered by the upper levels. As requests going down in the memory hierarchy they require a greater number of cycles to be satisfied, so it becomes more difficult to hide the latency of last-level caches (LLC). In multi-core systems their importance is even large due to the growing number of cores that share the bandwidth that this memory can provide. In an attempt to make a more efficient usage of their caches, the memory hierarchies of many Chip Multiprocessors (CMPs) present LLCs which can be allocated across threads and part of them may be private to a thread while other parts may be shared by multiple threads. Then, caching techniques will continue their evolution during next years in order to tackle the new challenges imposed by multicore platforms and workloads.

The aim of this workshop is to strongly encourage the exchange of experiences and knowledge in novel solutions exploiting and defining new trends in multicore cache hierarchy design, also considering new programming techniques for taking full advantage of cache hierarchies in terms of performance.

The Workshop will be held as a half-day meeting at the ISPA 2012 conference in Leganes, Madrid.

The authors of the papers selected for the Workshop will be invited to submit extended versions of their manuscript to be considered for publication in a special issue of the Parallel Computing journal (tentative).

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High performance computing (HPC) has significantly evolved during the last decades. The remarkable evolution of networks, the raise of multi-core technology and the use of hardware accelerators have made it possible to integrate up to hundreds of thousands cores into the current petaflop machines. This scenario has led to the emergence of massively parallel and heterogeneous systems composed of a variety of different types of computational units, such as distributed environments composed of multicore nodes some of which include hardware accelerators, like GPUs or FPGAs.

However, the design and implementation of efficient parallel algorithms for heterogeneous systems is still a very important challenge. The diverse architectures, interconnection networks, parallel programming paradigms as well as the presence of system heterogeneity have a pervasive impact on algorithm performance and scalability.

The traditional parallel algorithms, programming environments and development tools as well as theoretical models are not applicable to the high performance parallel heterogeneous systems currently available. Therefore, we need a thorough analysis of these new systems to propose new ideas, innovative algorithms and tools, as well as theoretical models for modelling and working properly and efficiently with heterogeneous clusters.

The workshop is intended to be a forum for researchers working on algorithms, programming languages, tools, and theoretical models aimed at efficiently solving problems on heterogeneous networks.

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Multicore systems are dominating the processor market ranging from embedded to high-performance systems. Early multicore processors just included two or four cores; currently some processors integrate more than ten cores and, as the node shrinks in future technology generations, it is expected that the number of cores will continue increasing in future manufactured systems.

To take advantage of the high number of cores efficient load balancing and scheduling policies or strategies are required. In addition, it remains a challenge to identify and productively program applications for these systems with a resulting substantial performance improvement.

On the other hand, the system designer must trade off performance versus power consumption, which is a major concern in current microprocessors. Therefore current design must focus on new architectures or architectural mechanisms addressing this trade off.

Finally, most real-time embedded applications are requiring high-performance computing and multicore and multithreaded processors are becoming the typical design choice.

The aim of this workshop is to provide a forum for engineers and scientists to address the resulting challenge and to present new ideas, applications, and experience on all aspects of multicore and multithreaded systems.