Simple Load Balancing for Distributed Hash Tables

Distributed hash tables have recently become a useful building block for a variety of distributed applications. However, current schemes based upon consistent hashing require both considerable implementation complexity and substantial storage overhead to achieve desired load balancing goals. We argue in this paper that these goals can b e achieved more simply and more cost-effectively. First, we suggest the direct application of the "power of two choices" paradigm, whereby an item is stored at the less loaded of two (or more) random alternatives. We then consider how associating a small constant number of hash values with a key can naturally b e extended to support other load balancing methods, including load-stealing or load-shedding schemes, as well as providing natural fault-tolerance mechanisms

Constant current load matches impedances of electronic components

Constant current load with negative resistance characteristics actively compensates for impedance variations in circuit components. Through a current-voltage balancing operation the internal impedance of the diodes is maintained at a constant value. This constant current load circuit can be used in simple telemetry systems

Simpler and Better Algorithms for Minimum-Norm Load Balancing

Recently, Chakrabarty and Swamy (STOC 2019) introduced the minimum-norm load-balancing problem on unrelated machines, wherein we are given a set J of jobs that need to be scheduled on a set of m unrelated machines, and a monotone, symmetric norm; We seek an assignment sigma: J -> [m] that minimizes the norm of the resulting load vector load_{sigma} in R_+^m, where load_{sigma}(i) is the load on machine i under the assignment sigma. Besides capturing all l_p norms, symmetric norms also capture other norms of interest including top-l norms, and ordered norms. Chakrabarty and Swamy (STOC 2019) give a (38+epsilon)-approximation algorithm for this problem via a general framework they develop for minimum-norm optimization that proceeds by first carefully reducing this problem (in a series of steps) to a problem called min-max ordered load balancing, and then devising a so-called deterministic oblivious LP-rounding algorithm for ordered load balancing. We give a direct, and simple 4+epsilon-approximation algorithm for the minimum-norm load balancing based on rounding a (near-optimal) solution to a novel convex-programming relaxation for the problem. Whereas the natural convex program encoding minimum-norm load balancing problem has a large non-constant integrality gap, we show that this issue can be remedied by including a key constraint that bounds the "norm of the job-cost vector." Our techniques also yield a (essentially) 4-approximation for: (a) multi-norm load balancing, wherein we are given multiple monotone symmetric norms, and we seek an assignment respecting a given budget for each norm; (b) the best simultaneous approximation factor achievable for all symmetric norms for a given instance

Optimalisasi Load Balancing dan Manajemen Bandwidth pada Mikrotik Routerboard 715G (Studi Kasus di PT. Campus Data Media Semarang)

Pengoptimalan penggunaan bandwidth dapat dilakukan dengan melakukan Load Balancing dan manajemen bandwidth. Jaringan Load Balancing adalah untuk membagi trafik jaringan lebih seimbang menggunakan Policy Routing Load Balancing Equal Cost Multipath, manajemen bandwidth dilakukan untuk membagi bandwidth yang tersedia secara maksimal dengan Simple Queue dan IP Firewall Mangle Rules Queue Tree. Pengoptimalan bandwidth ini dilakukan pada Routerboard Mikrotik 751G sebagai router dan gateway. Penelitian ini mengamati nilai throughput pada, yaitu: (1) Jaringan tanpa dilakukan Load Balancing dengan manajemen bandwidth user dan manajemen bandwidth aplikasi, (2) jaringan Load Balancing dengan manajemen bandwidth user dan manajemen bandwidth aplikasi. Nilai throughput diamati dengan menggunakan Tools Graphing pada Interface GUI Winbox Mikrotik Routerboard 751G

Optimalisasi Load Balancing dan Manajemen Bandwidth pada Mikrotik Routerboard 715G (Studi Kasus di PT. Campus Data Media Semarang)

Pengoptimalan penggunaan bandwidth dapat dilakukan dengan melakukan Load Balancing dan manajemen bandwidth. Jaringan Load Balancing adalah untuk membagi trafik jaringan lebih seimbang menggunakan Policy Routing Load Balancing Equal Cost Multipath, manajemen bandwidth dilakukan untuk membagi bandwidth yang tersedia secara maksimal dengan Simple Queue dan IP Firewall Mangle Rules Queue Tree. Pengoptimalan bandwidth ini dilakukan pada Routerboard Mikrotik 751G sebagai router dan gateway. Penelitian ini mengamati nilai throughput pada, yaitu: (1) jaringan tanpa dilakukan Load Balancing dengan manajemen bandwidth user dan manajemen bandwidth aplikasi, (2) jaringan Load Balancing dengan manajemen bandwidth user dan manajemen bandwidth aplikasi. Nilai throughput diamati dengan menggunakan Tools Graphing pada Interface GUI Winbox Mikrotik Routerboard 751G