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  • IEEE (CrossRef)  (5)
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  • 1
    In: IEEE Communications Surveys & Tutorials, 21/2013, Vol.15(1), pp.145-166
    Description: The combination of sensor and actor nodes in wireless sensor actor networks (WSANs) has created new challenges notably in coordination. In this paper, we survey, categorize, and bring into perspective existing researches on weak connectivity and its impacts on coordination ranging from a node failure to disability of actor nodes to communicate with other actors permanently. We present challenges in each category alongside existing provisions and approaches in the context of the proposed coordination-oriented connectivity categorization. Alongside explanation of general concepts for a communication generalist, we compare the proposed protocols using parameters related to weak connectivity and coordination. Powerful actors can help weaker sensors in many aspects such as routing and data forwarding and many sensors can help few actors in the regions that actors are sparsely deployed. Actors can carry, move and charge sensors while sensors can detect partitions of inter-actor network. Considering lessons learned from surveyed works, we show that actor and sensor nodes in a WSAN must cooperate to provide an integrated network when network connectivity is weak.
    Keywords: Communication, Networking and Broadcast Technologies;
    ISSN: IEEE Communications Surveys & Tutorials
    E-ISSN: 1553-877X
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  • 2
    In: Computer and Information Science, 10/27/2011, Vol.4(6)
    Description: A superconducting three-pole Chebyshev band-pass filter is designed, fabricated and tested to be used in microwave set-up in Cryogenic refrigerator. The design is based on the reflected group delay method and it is implemented based on the interdigital configuration in a coplanar waveguide with Niobium (Nb) over Sapphire dielectric. The filter response based on the circuit model (lumped element, J-inverter and coupling matrix synthesis), full wave simulation of its physical realization and s-parameter measurement are compared. With the proper packaging this filter shows only one band-pass from 9.7 GHz to 10.5 GHz over a large span of frequency from 0 GHz to 20 GHz.
    Keywords: Superconducting Filters ; Band-Pass Filters ; Resonator Filters ; Microwave Filters ; Superconducting Microwave Devices ; Microwave Circuits ; Superconducting Microwave Filters ; Cpw Filters ; Interdigital Filters ; Chebyshev Filters ; Ness Method ; Reflected Group Delay Method ; Engineering ; Physics;
    ISSN: 1913-8989
    ISSN: 10518223
    E-ISSN: 1913-8997
    E-ISSN: 15582515
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  • 3
    Language: English
    In: IEEE Transactions on Parallel and Distributed Systems, 01 October 2018, Vol.29(10), pp.2346-2359
    Description: Large-scale online services parallelize sub-operations of a user's request across a large number of physical machines (service components) so as to enhance the responsiveness. Even a temporary spike in latency of any service component can notably inflate the end-to-end delay; therefore, the tail of the latency distribution of service components has become a subject of intensive research. The key characteristics of clouds such as elasticity and on-demand resource provisioning have made clouds attractive for hosting large-scale online services wherein VMs are the building blocks of services. However, adherence to traditional hypervisor scheduling policies has led to unpredictable CPU access latencies for virtual CPUs (vCPUs) that are responsible for performing network IO processes. This has resulted in poor and unpredictable performance for network IO, exacerbating VMs' long tail latencies and discouraging the hosting of large-scale parallel web services on virtualized clouds. This paper presents TerrierTail, a hypervisor CPU scheduler whose primary goal is to trim the tail of the latency distribution of individual VMs in virtualized clouds. In TerrierTail, we have modified the network driver to identify vCPUs that are responsible for performing network IO processes. Leveraging this information, the TerrierTail scheduler mitigates the CPU access latencies of such vCPUs using novel scheduling policies, resulting in a higher and more predictable network IO performance and therefore lower tail latency. TerrierTail's gains come at no measurable negative impacts on other performance attributes (e.g., fairness) or on the performance of VMs running other types of workloads (e.g., CPU-intensive VMs). A prototype implementation of TerrierTail in the Xen hypervisor substantially outperforms the default Credit scheduler of Xen. For example, TerrierTail mitigates the tail latency of a Memcached server by up to 53 percent and an RPC server by up to 50 percent at 99.9th percentile.
    Keywords: Cloud Computing ; Boosting ; Virtual Machine Monitors ; Servers ; Task Analysis ; Delays ; Cloud Computing ; Tail Latency ; Virtualization ; Cpu Scheduler ; Xen ; Engineering ; Computer Science
    ISSN: 1045-9219
    E-ISSN: 1558-2183
    Source: IEEE Conference Publications
    Source: IEEE Journals & Magazines 
    Source: IEEE Xplore
    Source: IEEE Journals & Magazines
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  • 4
    Language: English
    In: IEEE Communications Surveys & Tutorials, 2012, Vol.14(4), pp.1232-1243
    Description: With the ever-increasing advancement of mobile device technology and their pervasive usage, users expect to run their applications on mobile devices and get the same performance as if they used to run their applications on powerful non-mobile computers. There is a challenge though in that mobile devices deliver lower performance than traditional less-constrained and non-mobile computers because they are constrained by weight, size, and mobility in spite of all their advancements in recent years. One of the most common solutions that has ameliorated this performance disparity is cyber foraging, wherein nearby non-mobile computers called surrogates are utilized to run the whole or parts of applications on behalf of mobile devices. In this paper, we present a survey of cyber foraging as a solution to resolve the challenges of computing on resource-constrained mobile devices. We also explain the most notable cyber foraging systems and present a categorization of existing cyber foraging approaches considering their type of dynamicity, granularity, metrics used, surrogate types and scale, location of their decision maker unit, remoteness of execution, migration support, and their overheads.
    Keywords: Mobile Handsets ; Resource Management ; Taxonomy ; Servers ; Energy Consumption ; Internet ; Cyber Foraging ; Mobile Devices ; Resource-Constrained Computing ; Taxonomy ; Engineering
    E-ISSN: 1553-877X
    Source: IEEE Conference Publications
    Source: IEEE Journals & Magazines 
    Source: IEEE Xplore
    Source: IEEE Journals & Magazines
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  • 5
    Language: English
    In: Computing in Science & Engineering, September 2014, Vol.16(5), pp.76-85
    Description: In this article, the authors investigate the development of Multiplexed Information and Computing Service (Multics) and Plan 9, and illustrate how these approaches have influenced today's computing systems. "Computing service as an electricity service"' is the core mission of the distributed computing systems introduced by the Multics project in 1965. In developing the new generation of distributed computing systems, researchers have faced numerous obstacles, though many have already been addressed and dispelled by pioneer systems. Security, scalability, access transparency, resource-sharing, and dynamic reconfiguration are examples originally introduced and considered by both Multics and Plan 9. Moreover, many novel approaches have employed the basic ideas of these systems. However, there are further innovations that could be helpful in designing prospective distributed computing systems. As a result, studying previous systems' objectives and current statuses can facilitate new solutions and help point to possible failures.
    Keywords: Information Processing ; Operating Systems ; Distributed Computing ; Program Processors ; Computer Architecture ; Computer Security ; Distributed Computing ; Operating System ; Multics ; Plan 9 ; Cluster Computing ; Grid Computing ; Cloud Computing ; I/O Streams and Data Sharing ; Resource Sharing ; Dynamic Reconfiguration ; Namespaces ; File-Mapped Resources ; Scientific Computing ; Sciences (General) ; Applied Sciences
    ISSN: 1521-9615
    E-ISSN: 1558-366X
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