An increasing number of high-performance distributed systems are written in garbage collected languages. This removes a large class of harmful bugs from these systems. However, it also introduces high tail-latency do to garbage collection pause times. We address this problem through a new technique of garbage collection avoidance which we call BLADE. BLADE is an API between the collector and ap...

The Adaptive Parallelism Environment is introduced as a means of effectively utilizing MPP processing resources in a multi-programmed MIMD or distributed system. It achieves this by dynamically calculating the optimal number of threads for a given program at runtime. The optimality calculation considers both the number of processing elements available to handle additional workloads and the esti...

The number of internet users rapidly increases as the business relies more on the internet and intranet. Accordingly, the traffic on the Internet is increasing dramatically. The workload on the servers is also increasing rapidly so that servers will be easily overloaded for a short time. To overcome the overloading problem of the servers, it is necessary to increase system performance and avail...

Many scientific applications involve grids that lack a uniform underlying structure. These applications are often also dynamic in nature in that the grid structure significantly changes between successive phases of execution. In parallel computing environments, mesh adaptation of unstructured grids ti_rough selective refinemcnttcoarsening has proven to be an effective approach. However, achievi...

Today, cloud computing applications are rapidly constructed by services belonging to different cloud providers and service owners. This work presents the inter-cloud elasticity framework, which focuses on cloud load balancing based on dynamic virtual machine reconfiguration when variations on load or on user requests volume are observed. We design a dynamic reconfiguration system, called inter-...

In the last decade new scalable data stores have emerged in order to process and store the increasing amount of data that is produced every day. These data stores are inherently distributed to adapt to the increasing load and generated data. HBase is one of such data stores built after Google BigTable that stores large tables (hundreds of millions of rows) where data is stored sorted by key. A ...

Static load balancing is attractive due to its simplicity and low communication costs. We analyze under which circumstances a randomized static load balancer can achieve good balance if the subproblem sizes are unknown and choosen by an adversary. It turns out that this worst case scenario is quite close to a more specialized model for applications related to parallel backtrack search. In both ...

Internet of things (IoT) has been significantly raised owing to the development broadband access network, machine learning (ML), big data analytics (BDA), cloud computing (CC), and so on. The IoT technologies resulted in a massive quantity due existence several people linking through distinct physical components, indicating status CC environment. In IoT, load scheduling is realistic technique c...

after the collapse of the soviet :union: and the formation of a new world order, the nature of power changed from exclusively military to a combination of military, economic and political one; and consequently the new discourse of geo-economics emerged alongside the geo-politics. since then, most countries have tried to maximize their relative power positions in the international system by emph...