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This paper presents how the throughput of a server is influenced by the applying a vertical scalability. The paper studies the results obtained in measuring the response time of the server and the processing time of the server when dealing with a large number of requests by modifying the configuration of the machine, increasing the number of cores the machine has and increasing the RAM capacity. This...
Performance isolation is an important goal in server-class environments. Partitioning the last-level cache of a chip multiprocessor (CMP) across co-running applications has proven useful in this regard. Two popular approaches are (a) hardware support for way partitioning, or (b) operating system support for set partitioning through page coloring. Unfortunately, neither approach by itself is scalable...
The main contribution of this paper is to show an implementation of the parallel convex hull algorithm on the Parallella architecture. Parallella is a single-board computer with 16 mesh-connected cores. We have considered the memory architecture and mesh-connected network of the Parallella architecture. We evaluated the computing time and the energy-efficiency by comparing with various computing platforms...
In this paper, a throughput-aware transient fault detection method is presented with respect to the features of server processors. The proposed method takes the advantages of combination of reconfigurable redundant execution-based fault detection and speculative fault detection. The reconfigurable redundant execution-based fault detection method by using configuration manager module couples two free...
In this paper, a throughput-aware transient fault detection method is presented with respect to the features of server processors. The proposed method takes the advantages of combination of reconfigurable redundant execution-based fault detection and speculative fault detection. The reconfigurable redundant execution-based fault detection method by using configuration manager module couples two free...
Layered Queueing networks are a common method for solving performance models of modern distributed computer systems that use blocking remote procedure calls. Several analytic methods exist to solve these networks, many of which use the method of decomposition to break the model up into smaller, more easily solved submodels. Analytic solutions that break up a model must take into consideration interlocking,...
We developed a new task scheduling technique that improves the response times of Web applications. Most of the high-performance processors used in today's servers support thread-level parallelism with multiple hardware threads within each core using Simultaneous Multi-Threading (SMT). SMT capabilities can improve the peak throughput of a server by increasing the utilization of the computing resources...
Nowadays, high-performance transaction processing applications increasingly run on multisocket multicore servers. Such architectures exhibit non-uniform memory access latency as well as non-uniform thread communication costs. Unfortunately, traditional shared-everything database management systems are designed for uniform inter-core communication speeds. This causes unpredictable access latencies...
Matrix multiplication is one of the most important operations in linear algebra, widely used in many fields of science and engineering. Cannon's algorithm is a classical distributed algorithm for matrix multiplication for two-dimensional meshes. Generally, MPI-IO is used for its I/O requirements. However it has been well documented that MPI-IO performs poorly in a Lustre file system environment. As...
Secure socket layer (SSL) is the most popular protocol used in the Internet for facilitating secure communications. In this paper, we analyze the performance and architectural impact of SSL on the servers in terms of various parameters such as throughput, utilization, cache sizes, cache miss ratios, number of processors, control dependencies, file access sizes, bus transactions, network load, etc...
Scale-out datacenters mandate high per-server throughput to get the maximum benefit from the large TCO investment. Emerging applications (e.g., data serving and web search) that run in these datacenters operate on vast datasets that are not accommodated by on-die caches of existing server chips. Large caches reduce the die area available for cores and lower performance through long access latency...
In this paper, we design, implement, and evaluate a traffic-aware and power-efficient multicore server system by translating incoming traffic rate to appropriate system operating level, which is then translated to optimal per-core frequency configuration. According to the varying traffic rate, the system can adjust the number of active cores and per-core frequency “on-the-fly” via the use of per-core...
Cloud computing brings significant benefits for service providers and users because of its characteristics: \emph{e.g.}, on demand, pay for use, scalable computing. Virtualization management is a critical task to accomplish effective sharing of physical resources and scalability. Existing research focuses on live Virtual Machine (VM) migration as a workload consolidation strategy. However, the impact...
This work will deal with overload control schemes within ATCA modules achieving IMS functionalities and exploiting the cooperation between processors. A performance evaluation will be carried out on two algorithms aimed at optimizing multiple processors workload within ATCA boards performing incoming traffic control. The driving policy of the first algorithm consists in a continuous estimation of...
Content-Addressable Storage (CAS) is a model of storage facility used for keeping immutable digital content records with peculiar advantages. This paper presents a prototype of CAS Area Network system compliant to the OSD (Object-based Storage Device) T-10 standard. The experimental results demonstrate the performance of the model is comparable to and better than that of regular storage systems. The...
This paper conceptualises the development of a Patient Information Management system to assist health care professionals and carers in providing an enhanced level of support to patients. By focusing on throughput analysis and mission criticality the system designers can make valued judgement on the needs of the professional and system's long term requirements.
We consider the operator mapping problem for in-network stream processing, i.e., the application of a tree of operators in steady-state to multiple data objects that are continuously updated at various locations in a network. Examples of in-network stream processing include the processing of data in a sensor network, or of continuous queries on distributed relational databases. Our aim is to provide...
As long as computers continue to get more CPU processing power, data centers need to optimize their power usage. We can do this and maintain the same complexity level as before by using virtualized environments. We can put a large number of small isolated servers, inside a large one and improve a large number of values like the wattage or power consumption, space usage, and resource usage. In this...
Using performability analysis mechanisms to assess systems' risk is proposed in this paper, so that the impacts from different factors can be integrated. Performability is a metric proposed three decades ago [1, 8] to address the effects of performance degradation caused by failures. Despite its sophisticated mechanisms [10], industry today still treats performance and reliability as two separate...
Federation of shared memory space type distributed system with the basic command pattern has yielded a very powerful distributed systems architecture, which is known as Java compute servers. Java compute servers leverage the power of shared memory space based distributed systems in addition to the ability to perform any activity\computation by any processing node within the system. Within this distributed...
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